Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Showing posts with label fingers. Show all posts
Showing posts with label fingers. Show all posts

Thursday, January 20, 2022

Therapeutic Effects of a Newly Developed 3D Magnetic Finger Rehabilitation Device in Subacute Stroke Patients: A Pilot Study

Sounds good, when will your stroke hospital get it? Assuming that they even know this research exists.

Therapeutic Effects of a Newly Developed 3D Magnetic Finger Rehabilitation Device in Subacute Stroke Patients: A Pilot Study

Sung-Hoon Kim 1 , Dong-Min Ji 1 , Chan-Yong Kim 2 , Sung-Bok Choi 2 , Min-Cheol Joo 2 and Min-Su Kim 2,* 1 Department of Electronics Convergence Engineering, Wonkwang University, 460 Iksandae-ro, Iksan 54538, Korea; kshoon@wku.ac.kr (S.-H.K.); anggole94@gmail.com (D.-M.J.) 2 Department of Rehabilitation Medicine, College of Medicine, Wonkwang University, 460 Iksandae-ro, Iksan 54538, Korea; cy7974@naver.com (C.-Y.K.); csb950801@naver.com (S.-B.C.); jmc77@hanmail.net (M.-C.J.) * Correspondence: helmaine@naver.com; Tel.: +82-6-3859-1610; Fax: +82-6-3859-2128 

Abstract: 

We developed a magnetic-force-based three-dimensional (3D) rehabilitation device that can perform motor rehabilitation treatment for paralyzed fingers, regardless of upper extremity movement and position, and investigated the therapeutic effects of the device. An end-effector type rehabilitation device that can generate magnetic fields in three directions was developed using electromagnets and permanent magnetics. A double-blinded randomized controlled pilot study was conducted with a total of 12 patients. The intervention group had rehabilitation treatment using the developed magnetic finger rehabilitation device for 30 min a day for four weeks. The control group underwent exercise rehabilitation treatment. The control group received conventional occupational therapy on the upper limbs, including hands, from an occupational therapist, for the same amount of time. Adverse effects were monitored, and the patient’s sensory or proprioceptive deficits were examined before the intervention. No participants reported safety concerns while the intervention was conducted. The Wolf Motor Function Test (WMFT) scores were significantly improved in the intervention group (from 13.4 ± 3.6 to 20.9 ± 4.0 points) compared to the control group (from 13.1 ± 4.0 to 15.2 ± 3.8 points) (p = 0.016). The patients in the intervention group (from 88 ± 12 to 67 ± 13 s) showed greater improvement of WMFT times compared to the control group (from 89 ± 10 to 73 ± 11 s) (p = 0.042). The Manual Function Test and the upper limb score of the Fugl-Meyer Assessment were significantly improved in the intervention group compared with the control group (p = 0.038 and p = 0.042). The patients in the intervention group also showed significantly greater enhancement of the Korean version of the modified Barthel Index than the control group (p = 0.042). Rehabilitation treatment using the 3D magnetic-force-driven finger rehabilitation device helped improve finger motor function and activities of daily living in subacute stroke patients.

Sunday, January 2, 2022

Finger problems on my good hand

 I ripped open my little finger in a fall a couple weeks ago, healing but not usable yet. Last week when reaching for a PCR test I dropped the plastic bag and in the process of getting out of the car managed to smash my middle finger. Two days later a blood blister emerged under the nail bed. With my blood thinning capabilities of my daily aspirin it kept growing, leading to three nights of very little sleep due to pain and throbbing. With a useless left hand the normal remedies of drilling a hole in the nail or heating a paper clip to burn thru it to relieve the pressure are not possible. The blood blister finally migrated  outside the fingernail and I could lance it with a pocketknife held in my teeth.  My ex used to admonish me for using my teeth to get tasks accomplished, I ignored her ideas even though she was a physical therapist.  Getting socks on now is quite the challenge with only three usable fingers. Had to take maybe 20 pictures on a timer before I got one that is minimally acceptable. The nail will eventually fall off, it's bulging out of place right now.



Wednesday, December 8, 2021

A Modular Soft Robotic Exoskeleton for Active Hand Rehabilitation after Stroke

 With no picture it is impossible to tell whether spastic fingers could ever get this glove on.

A Modular Soft Robotic Exoskeleton for Active Hand Rehabilitation after Stroke

Publisher: IEEE

Abstract:
This paper presents the design and components of a modular soft exoskeleton for an active hand rehabilitation in people who has suffered a stroke. Most of the exoskeletons designs in which soft technologies are incorporated do not allow movement of the thumb. Our design allows their user to flex and stretch the index finger, the middle finger and the thumb repeatedly with the possibility to train their memory movement by picking and releasing. This was achieved through a soft exoskeleton-like glove design fabricated with a 3D printer with flexible materials. The overall weight of this Soft Exoskeleton-like glove 155 g, not including the battery of 6V, the electronic components and the microcontroller which are placed in the forearm and have total weight of 159 g. Our device is able to provide the forces of 3,9N in cylindric grasp position and 1,6N in precision grasp. These movements are possible because the thumb can move according to the grasping. This could allow future users to train and rehabilitate outside of a specialized center for more frequent training by doing repetitive exercise.
Date of Conference: 27-29 Oct. 2021
Date Added to IEEE Xplore: 30 November 2021
ISBN Information:
Publisher: IEEE
Conference Location: Lima, Peru
 

Saturday, November 20, 2021

End-effector or exoskeleton in finger-hand stroke rehabilitation: Which is the best choice?

Had to look up end effector devices and still don't understand.

End-effector or exoskeleton in finger-hand stroke rehabilitation: Which is the best choice?

L. Moggio1 , N. Marotta1 , A. Demeco1 , C. Marinaro1 , A. Petraroli1 , I. Pino1 , R.C. Meliado’2 , L. Fratto2 , A. Ammendolia1,2 1 Department of Surgical and Medical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy, 2 A.O.U. Mater Domini, Catanzaro, Italy 
 
Background and Aims: 
 
A new proposal for treating stroke outcomes is robot-assisted therapy. Gassert and Dietz classified upper limb rehabilitation robots into end effectors (EE) and exoskeletons (EXO). This study aimed to compare the relative effects of EE and EXO devices in motor recovery and disability and its impact on the quality of life of patients with finger-hand motor impairment post-stroke. 
 
Methods: 
 
We conducted a search to select randomized controlled trials (RCTs) on PubMed, Embase, MEDLINE, the Cochrane library. We considered as outcomes: motility index (MI), quick version of the arm, shoulder and hand disability questionnaire (QuickDASH) and evaluation Fugl-Meyer for the upper extremity (FMAUE). To compare efficacy, we performed a network meta-analysis and a surface under cumulative ranking analysis (SUCRA). 
 
Results: 
 
Five RTCs and 149 subjects were included. A significant decrease in QuickDASH (p <0.05) was observed in the EXO group (ES: -6.71; CI: -9.17, -4.25). FMAUE showed a significant increase (p <0.05) in the EE group (ES: 3; CI: 1.97, 4.04). The SUCRA analysis of MI demonstrated that robotic rehabilitation is more likely to be the best alternative for motor recovery (97.3% EXO probability; 48.3% EE; 4.4% control). 
 
Conclusions: 
 
EXO devices appear to be a better option than EE devices in the treatment of finger-hand motor disability associated with traditional rehabilitation, with important implications in hand motor recovery and reduction of disability. More research is needed focusing on direct comparison of the two devices.

Tuesday, July 20, 2021

Design and Validation of a Self-aligning Index Finger Exoskeleton for Post-Stroke Rehabilitation

 So how are your doctors and hospital ensuring that this further research is completed?

Design and Validation of a Self-aligning Index Finger Exoskeleton for Post-Stroke Rehabilitation


Abstract:
Rehabilitation of hand functions is necessary to improve post-stroke patients’ quality of life. There is initial evidence that hand exoskeletons should exercise flexion/extension (f/e) and abduction/adduction (a/a) of the fingers to rebuild hand functions. However, designing a self-alignment mechanism of the metacarpophalangeal (MCP) joint to improve its wearing comfort is still a challenge. In this paper, a novel index finger exoskeleton with three motors is proposed to help post-stroke patients perform finger a/a and f/e training. A spatial mechanism with passive degrees of freedom for the MCP joint is designed to realize human-robot axes self-alignment. The proposed mechanism’s kinematic compatibility is analyzed to show its self-aligning capability, and the kineto-statics analysis is performed to present the exoskeleton’s static characteristics. Finally, kinematic and static experiments have been conducted, and the results indicate that the standardized reaction forces square sum of the exoskeleton to the MCP joint can be reduced by 65.8% compared with the state-of-the-art exoskeleton. According to the experimental results, the exoskeleton can achieve the a/a and f/e training and human-robot axes self-alignment, and improve its comfortability. In the future, clinical trials will be further studied to test the exoskeleton.
Page(s): 1 - 1
Date of Publication: 16 July 2021
ISSN Information:
PubMed ID: 34270428
Publisher: IEEE
Funding Agency:
 

Wednesday, July 7, 2021

A new electromechanical trainer for sensorimotor rehabilitation of paralysed fingers: A case series in chronic and acute stroke patients

 But is it better than following the Margaret Yekutiel book about this in 2001, 'Sensory Re-Education of the Hand After Stroke'?

A new electromechanical trainer for sensorimotor rehabilitation of paralysed fingers: A case series in chronic and acute stroke patients

Abstract

Background

The functional outcome after stroke is improved by more intensive or sustained therapy. When the affected hand has no functional movement, therapy is mainly passive movements. A novel device for repeating controlled passive movements of paralysed fingers has been developed, which will allow therapists to concentrate on more complicated tasks. A powered cam shaft moves the four fingers in a physiological range of movement.

Methods

After refining the training protocol in 2 chronic patients, 8 sub-acute stroke patients were randomised to receive additional therapy with the Finger Trainer for 20 min every work day for four weeks, or the same duration of bimanual group therapy, in addition to their usual rehabilitation.

Results

In the chronic patients, there was a sustained reduction in finger and wrist spasticity, but there was no improvement in active movements. In the subacute patients, mean distal Fugl-Meyer score (0–30) increased in the control group from 1.25 to 2.75 (ns) and 0.75 to 6.75 in the treatment group (p < .05). Median Modified Ashworth score increased 0/5 to 2/5 in the control group, but not in the treatment group, 0 to 0. Only one patient, in the treatment group, regained function of the affected hand. No side effects occurred.

Conclusion

Treatment with the Finger Trainer was well tolerated in sub-acute & chronic stroke patients, whose abnormal muscle tone improved. In sub-acute stroke patients, the Finger Trainer group showed small improvements in active movement and avoided the increase in tone seen in the control group. This series was too small to demonstrate any effect on functional outcome however.

Introduction

The annual stroke incidence is approximately 180 patients per 100,000 inhabitants in the industrialized world. About 30% of the surviving patients suffer from a severe upper limb paresis with a non functional hand. The prognosis for regaining meaningful hand activity six months after stroke onset is poor [1]: this may partly be because current rehabilitation practice puts more emphasis on the compensatory use of the non-affected upper extremity [2].

Powered machines which can allow prolonged repetition of a controlled movement are a promising way of increasing the intensity of rehabilitation after stroke. Several devices, to treat wrist, elbow & shoulder movements, have been developed since the pioneering MIT-Manus in the early 1990s [3]. Randomized controlled trials show a convincing beneficial effect of robot-assisted upper limb treatment on the impairment of severely affected stroke patients [49].

There are fewer clinical reports of machine-assisted movement of paralysed fingers. The Rutgers Hand Masters I and II use pistons mounted inside the palm to move the fingers, with virtual reality to improve motivation. Chronic stroke patients improved range of motion, motor control and speed of the paretic fingers over several weeks of training, and the benefits were retained at follow-up [10, 11].

With the Howard Hand Robot, pistons assist with patient initiated grasping and releasing movements around virtual or real objects. In moderately affected chronic stroke subjects, upper limb motor functions improved, and functional MRI revealed increased sensorimotor cortex activation during the grasping task which was not seen during a non-practiced task, supination/pronation [12].

Fischer et al assisted the finger extension of mildly affected stroke patients with the help of a powered orthosis. Following six weeks of training in reach-to-grasp of virtual and actual objects, patients' active motor performance had shown a moderate improvement [13].

The treatment of the plegic fingers after stroke is pertinent given their large cortical representation, the presumed competition between proximal and distal limb segments for plastic brain territory [14], and recent results from the MIT-group promoting earlier active treatment of distal limb [15]. Further, paresis-related immobilization seems to contribute to the development of long-term disabling finger flexor spasticity [16].

We have designed an electromechanical Finger Trainer to move individual fingers in a physiological range of movement. This article describes the device and reports its use in a small number of chronic and acute stroke patients with completely paralysed hands.

Device

The Finger Trainer, Reha-Digit, (figure 1) consists of four, mutually independent plastic rolls, each fixed eccentrically to the powered axle of the device, forming a cam-shaft. Each finger-roll can be repositioned & secured by turning a knob on the main axle, on the other end from the motor, to fit the size & range of movement of each individual finger.

Figure 1
figure1

The Finger Trainer, "Reha-Digit", without a patient (left), and a left-hemiparetic patient practicing with the device (right).

The surface of each finger roll is concave, forming a gutter to maximise the contact area between finger & roll. Two smaller locking rollers, also concave, hold each finger against the larger finger roll. Each pair of locking rollers moves orthogonally to the axis of the finger roll, and an elastic spring pulls each pair of locking rollers towards the finger roller. These can be lifted out of the way when first positioning the hand & fingers in the device.

A spacing bar, parallel to the drive axle, holds the hand in the optimal position: a thumb stop may be used to provide additional stability. This can be moved to either side, to accommodate either the left or right hand. There are emergency-stop switches at each end of the spacing bar. The forearm can be stabilised at the correct angle & height on a gutter support.

A 24 V DC motor rotates the drive axle up to 30 times a minute through a clutch mechanism, which allows the axle to stop rotating if the hand goes into a powerful spasm. A vibration engine, situated under the base plate, provides small amplitude (2 mm) stimulation at a frequency which can be set between 0 to 30 Hz, by turning a knob. The device's weight is 7 kg, and its dimensions are 35 cm × 24 cm × 22 cm.

Treatment

The patient sat comfortably on a chair with a backrest, with the device on a height-adjustable table in front of him. A therapist positioned the forearm on the arm support, placed the patients' four fingers II – V onto the cam shaft, and placed the thumb behind the spacing-bar or under the thumb-stop. The patient should not report any pain. In case of severe finger flexor spasticity, the therapist manually reduced the muscle tone before putting the hand in the device, and ultrasound contact gel could be applied to the fingers to diminish the friction between fingers and finger-rolls.

Initially, the rotation speed of the cam shaft and the vibration frequency were set at 20 rotations per minute and 20 Hz. After three minutes the treatment was interrupted in order to modify the treatment conditions regarding positioning, rotation speed and vibration frequency. The patient practised a total of 15 min with the device. The patients were instructed to concentrate on the movement of the paretic fingers and, if possible, to imagine that they themselves performed the finger movements.

To avoid saturation of the Meissner organs by continuous tactile dynamic stimulation of the finger tips by the revolving rolls, strips with different surface texture were attached to the inner surface of the concave roll of the index finger, and the patients were asked to discriminate between them. Patients with arthritis of the finger joints, soft tissue pain or hand swelling were excluded.

 

Friday, June 11, 2021

The role of multiple contralesional motor areas for complex hand movements after internal capsular lesion

 No clue what use this is for recovery. If you can do complex finger movements you are extremely high functioning.

The role of multiple contralesional motor areas for complex hand movements after internal capsular lesion

The Journal of Neuroscience, May 31, 2006
 •
 26(22):6096–6102
 MartinLotze, 1,2
JochenMarkert, 1
PaulSauseng, 3
JuliaHoppe, 1,4
ChristianPlewnia, 5
andChristianGerloff 1,4
 
1 Department of General Neurology, Hertie Institute for Clinical Brain Research, University of Tuebingen, D-72076 Tuebingen, Germany,
 2 Institute of Medical Psychology and Behavioral Neurobiology, University of Tuebingen, D-72074 Tuebingen, Germany,
 3 Department of Psychology, University of Salzburg, A-5020 Salzburg, Austria,
 4 Department of Neurology, University Medical Center Hamburg–Eppendorf, D-20246 Hamburg, Germany, and
5 Department of Psychiatry and Psychotherapy, University of Tuebingen, D-72072 Tuebingen, Germany

Abstract

Imaging techniques document enhanced activity in multiple motor areas of the damaged and contralesional (intact) hemisphere (CON-H) after stroke. In the subacute stage, increased activity within motor areas in the CON-H during simple movements of the affected hand has been shown to correlate with poorer motor outcome. For those patients in the chronic stage who recovered well, the functional relevance of an increased activation within the CON-H is unclear. Using trains of repetitive transcranial magnetic stimulation (TMS) during performance of complex finger movements, we tested the behavioral relevance of regional functional magnetic resonance imaging (fMRI) activation within the CON-H for sequential finger movement performance of the recovered hand in seven patients who had experienced a subcortical stroke. TMS was navigated over fMRI activation maxima within anatomically preselected regions of the CON-H, and effects were compared with those of healthy controls. Stimulation over the dorsal premotor cortex (dPMC), the primary motor cortex (M1), and the superior parietal lobe (SPL) resulted in significant interference with recovered performance in patients. Interference with the dPMC and M1 induced timing errors only, SPL stimulation caused both timing and accuracy deficits. The present results argue for a persistent beneficial role of the dPMC, M1, and SPL of the CON-H on some aspects of effectively recovered complex motor behavior after subcortical stroke.

Friday, June 4, 2021

Mechanical Design and Analysis of the End-Effector Finger Rehabilitation Robot (EFRR) for Stroke Patients

They never say if this will be able to provide 100% recovery  in the time you'll be able to use this in the hospital.

Mechanical Design and Analysis of the End-Effector Finger Rehabilitation Robot (EFRR) for Stroke Patients 

 
1 Parallel Robot and Mechatronic System Laboratory of Hebei Province, Yanshan University, Qinhuangdao 066004, China
2 Key Laboratory of Advanced Forging & Stamping Technology and Science of Ministry of Education, Yanshan University, Qinhuangdao 066000, China
3 Academy for Engineering & Technology, Fudan University, Shanghai 200433, China
4 State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
5 College of Arts & Design, Yanshan University, Qinhuangdao 066004, China
*
Author to whom correspondence should be addressed.
Academic Editor: Giovanni Legnani
Machines 2021, 9(6), 110; https://doi.org/10.3390/machines9060110
Received: 26 April 2021 / Revised: 19 May 2021 / Accepted: 24 May 2021 / Published: 26 May 2021
(This article belongs to the Special Issue Design and Control of Advanced Mechatronics Systems)

Abstract

Most existing finger rehabilitation robots are structurally complex and cannot be adapted to multiple work conditions, such as clinical and home. In addition, there is a lack of attention to active adduction/abduction (A/A) movement, which prevents stroke patients from opening the joint in time and affects the rehabilitation process. In this paper, an end-effector finger rehabilitation robot (EFRR) with active A/A motion that can be applied to a variety of applications is proposed. First, the natural movement curve of the finger is analyzed, which is the basis of the mechanism design. Based on the working principle of the cam mechanism, the flexion/extension (F/E) movement module is designed and the details used to ensure the safety and reliability of the device are introduced. Then, a novel A/A movement module is proposed, using the components that can easily individualized design to achieve active A/A motion only by one single motor, which makes up for the shortcomings of the existing devices. As for the control system, a fuzzy proportional-derivative (PD) adaptive impedance control strategy based on the position information is proposed, which can make the device more compliant, avoid secondary injuries caused by excessive muscle tension, and protect the fingers effectively. Finally, some preliminary experiments of the prototype are reported, and the results shows that the EFRR has good performance, which lays the foundation for future work.

1. Introduction

According to the World Health Organization (WHO), there are more than 15 million people around the world suffer strokes every year, and about 5 million of them are permanently disabled. Moreover, the global lifetime risk of stroke from the age of 25 years onward has increased from 22.8% in 1990 to 24.9% in 2016. Stroke is still the main cause of death worldwide [1,2,3]. Stroke causes damage to the nervous system, and can cause patients to lose part or all of their ability for activities of daily living (ADL), which brings a heavy burden to the family and society. Currently, the functional impairment of the fingers poststroke is rarely considered life-threatening. Together with the limited resources (time, cost, number of the caregivers and equipment etc.), it rates low on the priority of rehabilitation tasks [4,5,6]. In some ways, this increases the number of people with finger injury sequelae. Therefore, research on finger rehabilitation after stroke should be given more attention.
Rehabilitation robots can assist poststroke patients with continuous, repetitive training with a standardized process, reducing the workload of therapists and providing more clinical options for patients. Hand rehabilitation robots can be divided into end-effector devices, exoskeletons and glove type in terms of wearing form [7]. Among all the end-effector devices, Amadeo [8,9] is the most commercially successful hand rehabilitation robot available. HandCARE [10] adopts ropes to fix fingers, and a clutch system is designed to allow all the fingers to be driven by only one motor. Rutgers Master II [11] is a four-degree-of-freedom pneumatically driven finger rehabilitation device which has been clinically tested. It achieves active flexion/extension (F/E) motion for four fingers, and the maximum output force can reach 16.4 N. Reha-Digit [12] is a passive rehabilitation device: patients need to put the fingers into four plastic roller sets during the training process. SAFE [13] drives the patient’s fingertips to do rehabilitation exercises by using rigid connecting rod structures. In addition, some universities have conducted researches on end-effector finger rehabilitation devices [14,15]. As for the exoskeletons, the robot developed by Gifu University [16] controls all of the fingers independently by arranging side-by-side dual motors on the back of the hand. The researchers at the University of Texas at Austin [17,18] applied the series elastic actuator (SEA) to finger rehabilitation. Their device uses Bowden cables to transmit power and obtains joint information through angle sensors, and it is lightweight and easy-to-wear by moving the motors outside of the back of the hand. The rehabilitation robotic exoskeleton hand [19] realizes finger F/E training through two worm gears, and passive pins are set to achieve adduction/abduction(A/A) motion simultaneously and a virtual reality system has been developed for rehabilitation scenarios. The Powered Finger–Thumb Wearable Hand Exoskeleton [20] adopts an under-driven cord control form and designed a self-alignment mechanism that prevents misalignment for the joints between the human and machine, besides, parallel mechanism has been attempt to applied on the hand rehabilitation [21]. The glove-type devices have developed significantly in recent years due to their good adaptability. Their driving form includes pneumatic [22,23], cord drive [24], layered reed drive [25,26,27] and so on.
Force-based control is one of the control strategies for finger rehabilitation robots [28]. Cheng et al. [29] proposed a controller combing the iterative learning control (ILC) and the active disturbance rejection control (ADRC) to adapt the repeating training manner and overcome the external interference in a wearable hand rehabilitation robot. Park et al. [30] used proportional-integral-derivative (PID) control to design a control strategy capable of automatically switching between position and force control. Chiri et al. [31] utilized the PID control strategy to compensate for the external forces exerted by the patient on the robot. Huang et al. [32] proposed a variable integral PID (VIPID) controller to track the patients’ finger trajectory which has better performance than the conventional ones. Jones et al. [33] used a PI controller to compensate the auxiliary torque for fingers, and the control of either position or torque can be implemented in this device. Polygerinos et al. [34] presented a sliding-mode controller (SMC) for their finger rehabilitation robot with the obvious advantage of not requiring an explicit model of the system for the synthesis of the controller.
The large number of degrees of freedom (DoF) and strong interjoint coupling in human fingers make the development of finger rehabilitation robots difficult, leading to the complex structure and difficulty in wearing most of the existing devices. The inability of the fingers to perform A/A motion is one of the signs of nerve damage [35], which affects the patient’s ability to ADL. The active A/A exercise can carry out targeted muscle strength training on the palmar interossei and the dorsal interossei, and fully open the range of motion of the MCP joint [36]. However, few existing robots can achieve active A/A training and cannot fully open the joint mobility of the fingers, which affects the rehabilitation outcome and patient experience. As for the control strategy, it is mainly based on the PID, and the corresponding strategy is developed for the characteristics of the developed equipment.
This paper presents the design and development of an end-effector finger rehabilitation robot (EFRR) (see Figure 1). EFRR utilizes a fixed pulley-track module for finger F/E motion, and a novel synchronous pulley set has been proposed for active A/A motion driven by a single motor. This allows patients to open up their joint mobility fully. EFRR has two thumb rehabilitation structures with left/right symmetry, which makes it possible for functional impairment of the left/right hand to train on the device and can reduce the cost greatly. The design above is also the result of a comprehensive consideration of wearing convenience, hand weight bearing, and manufacturing cost. In terms of control strategy, an adaptive control strategy based on fuzzy PD is designed according to the characteristics of the EFRR, which makes it compliant during the training process and ensures the safety of patients.
Figure 1. Prototype of the EFRR. EFRR: end-effector finger rehabilitation robot.
The rest of this paper is organized as follows. Section 2 presents the innovative structural design of the EFRR, including the design principles and rationale; Section 3 introduces the adaptive control strategy based on fuzzy PD; Section 4 shows the preliminary experiments conducted at the EFRR and the related analysis; finally, Section 5 concludes this study and provides suggestions for future work.
More at link.

Friday, May 21, 2021

Hand sailing car window failure

 Now that it is getting warm out it's time to hang the left affected arm out the car window. The muscles in the upper arm and shoulder scream at me because of the spasticity not allowing any relaxation. Since I have zero ability to lift my arm or get my wrist and fingers straight I can't do this at all. But I'm working on the extra sensation which is why doing this while raining is great. The raindrops feel like needles.



Tuesday, February 16, 2021

A new electromechanical trainer for sensorimotor rehabilitation of paralysed fingers: A case series in chronic and acute stroke patients

But is it better than the book Margaret Yekutiel wrote  in 2001, 'Sensory Re-Education of the Hand After Stroke'? And you are using Bobath? Proven not to work since it should have been shitcanned since 2003? Now if you just tell me how many times each finger was passively flexed I'll start counting. I'm sure I've done at least a million for each finger already with zero reduction in spasticity and no recovery.


Physiotherapy Based on the Bobath Concept for Adults with Post-Stroke Hemiplegia: A Review of Effectiveness Studies 2003 

My best therapist supposedly used it but I really think her competence came from her knowledge of anatomy.

 

The latest here:

A new electromechanical trainer for sensorimotor rehabilitation of paralysed fingers: A case series in chronic and acute stroke patients

 2008, Journal of NeuroEngineering and Rehabilitation
 Published: 4 September 2008
 Journal of NeuroEngineering and Rehabilitation
 2008,
5
:21doi:10.1186/1743-0003-5-21
 StefanHesse 1, 
HKuhlmann 1, 
JWilk 1, 
CTomelleri 1 and 
StephenGBKirker* 2
 Address:
1 Klinik Berlin, Department Neurological Rehabilitation, Charité – University Medicine Berlin, Germany and
2  Addenbrooke's Rehabilitation Clinic, Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 2QQ, UK Email: StefanHesse-s.hesse@medicalpark.de; HKuhlmann-labor@reha-hesse.de; JWilk-labor@reha-hesse.de; CTomelleri-labor@reha-hesse.de; StephenGBKirker*-stephen.kirker@addenbrookes.nhs.uk

 Abstract

Background:
The functional outcome after stroke is improved by more intensive or sustained therapy. When the affected hand has no functional movement, therapy is mainly passive movements. A novel device for repeating controlled passive movements of paralysed fingers has been developed, which will allow therapists to concentrate on more complicated tasks. A powered cam shaft moves the four fingers in a physiological range of movement.
Methods:
After refining the training protocol in 2 chronic patients, 8 sub-acute stroke patients were randomised to receive additional therapy with the Finger Trainer for 20 min every work day for four weeks, or the same duration of bimanual group therapy, in addition to their usual rehabilitation.
Results:
In the chronic patients, there was a sustained reduction in finger and wrist spasticity, but there was no improvement in active movements. In the subacute patients, mean distal Fugl-Meyer score (0–30) increased in the control group from 1.25 to 2.75 (ns) and 0.75 to 6.75 in the treatment group (p < .05). Median Modified Ashworth score increased 0/5 to 2/5 in the control group, but not in the treatment group, 0 to 0. Only one patient, in the treatment group, regained function of the affected hand. No side effects occurred.
Conclusion:
Treatment with the Finger Trainer was well tolerated in sub-acute & chronic stroke patients, whose abnormal muscle tone improved. In sub-acute stroke patients, the Finger Trainer group showed small improvements in active movement and avoided the increase in tone seen in the control group. This series was too small to demonstrate any effect on functional outcome however.

Introduction

 The annual stroke incidence is approximately 180 patients per 100,000 inhabitants in the industrialized world. About 30% of the surviving patients suffer from a severe upper limb paresis with a non functional hand. The prognosis for regaining meaningful hand activity six months after stroke onset is poor [1]: this may partly be because current rehabilitation practice puts more emphasis on the compensatory use of the non-affected upper extremity [2]. Powered machines which can allow prolonged repetition of a controlled movement are a promising way of increasing the intensity of rehabilitation after stroke. Several devices, to treat wrist, elbow & shoulder movements, have been developed since the pioneering MIT-Manus in the early 1990s [3]. Randomized controlled trials show a convincing beneficial effect of robot-assisted upper limb treatment on the impairment of severely affected stroke patients [4-9].
There are fewer clinical reports of machine-assisted movement of paralysed fingers. The Rutgers Hand Masters I and II use pistons mounted inside the palm to move the fingers, with virtual reality to improve motivation. Chronic stroke patients improved range of motion, motor control and speed of the paretic fingers over several weeks of training, and the benefits were retained at follow-up [10,11]. With the Howard Hand Robot, pistons assist with patient initiated grasping and releasing movements around virtual or real objects. In moderately affected chronic stroke subjects, upper limb motor functions improved, and functional MRI revealed increased sensorimotor cortex activation during the grasping task which was not seen during anon-practiced task, supination/pronation [12].Fischer et al assisted the finger extension of mildly affected stroke patients with the help of a powered orthosis. Following six weeks of training in reach-to-grasp of virtual and actual objects, patients' active motor performance had shown a moderate improvement [13].
The treatment of the plegic fingers after stroke is pertinent given their large cortical representation, the presumed competition between proximal and distal limb segments for plastic brain territory [14], and recent results from the MIT-group promoting earlier active treatment of distal limb [15]. Further, paresis-related immobilization seems to contribute to the development of long-term disabling finger flexor spasticity [16]. We have designed an electromechanical Finger Trainer to move individual fingers in a physiological range of movement. This article describes the device and reports its use in a small number of chronic and acute stroke patients with completely paralysed hands.
 Figure 1 The Finger Trainer, "Reha-Digit", without a patient (left), and a left-hemiparetic patient practicing with the device (right).

 
 
 

Device

 The Finger Trainer, Reha-Digit, (figure 1) consists of four,mutually independent plastic rolls, each fixed eccentrically to the powered axle of the device, forming a cam-shaft. Each finger-roll can be repositioned & secured by turning a knob on the main axle, on the other end from the motor, to fit the size & range of movement of each individual finger. The surface of each finger roll is concave, forming a gutter to maximise the contact area between finger & roll. Two smaller locking rollers, also concave, hold each finger against the larger finger roll. Each pair of locking rollers moves orthogonally to the axis of the finger roll, and an elastic spring pulls each pair of locking rollers towards the finger roller. These can be lifted out of the way when first positioning the hand & fingers in the device.
A spacing bar, parallel to the drive axle, holds the hand inthe optimal position: a thumb stop may be used to provide additional stability. This can be moved to either side,
to accommodate either the left or right hand. There are emergency stop switches at each end of the spacing bar. The forearm can be stabilised at the correct angle & height on a gutter support. A 24 V DC motor rotates the drive axle up to 30 times a minute through a clutch mechanism, which allows the axle to stop rotating if the hand goes into a powerful spasm. A vibration engine, situated under the base plate,provides small amplitude (2 mm) stimulation at a frequency which can be set between 0 to 30 Hz, by turning a knob. The device's weight is 7 kg, and its dimensions are35 cm × 24 cm × 22 cm.
Treatment
 The patient sat comfortably on a chair with a backrest, with the device on a height-adjustable table in front of him. A therapist positioned the forearm on the arm sup-port, placed the patients' four fingers II – V onto the camshaft, and placed the thumb behind the spacing-bar or under the thumb-stop. The patient should not report any pain. In case of severe finger flexor spasticity, the therapist manually reduced the muscle tone before putting the hand in the device, and ultrasound contact gel could be applied to the fingers to diminish the friction between fingers and finger-rolls.Initially, the rotation speed of the cam shaft and the vibration frequency were set at 20 rotations per minute and 20Hz. After three minutes the treatment was interrupted in order to modify the treatment conditions regarding positioning, rotation speed and vibration frequency. The patient practised a total of 15 min with the device. The patients were instructed to concentrate on the movement of the paretic fingers and, if possible, to imagine that they themselves performed the finger movements. To avoid saturation of the Meissner organs by continuous tactile dynamic stimulation of the finger tips by the revolving rolls, strips with different surface texture were attached to the inner surface of the concave roll of the index finger, and the patients were asked to discriminate between them. Patients with arthritis of the finger joints,soft tissue pain or hand swelling were excluded.
 Case series
Chronic patients
 Two male chronic stroke patients, aged 55 (#1) and 67(#2) years, had suffered a supratentorial left hemisphere stroke resulting in a right hemiparesis 17 and 22 months before study onset. They participated in a comprehensive4 week in-patient rehabilitation programme for chronic stroke patients. The rehab programme included 45 minutes each of Bobath orientated physiotherapy and occupational therapy every workday, of which upper limb rehabilitation made up about 15% of physiotherapy and30% of occupational therapy time. The patients did not take any oral muscle relaxants, and had no botulinum toxin injections in the preceding 3months. Both were ambulatory and almost competent in the basic activities of daily living. The paretic upper extremity was severely affected, i.e. non-functional, and the fist was clenched due to severe wrist and finger flexor spasticity. The modified Ashworth scores (0–5) [17], was4/5 for the fingers and 3/5 for wrist in both patients. TheFugl-Meyer Motor Score for the upper limb (FM, 0–66)[18], was 7 and 9 respectively. Pain, touch and position sensation, and two-point discrimination were unimpaired.Initially, a therapist had to open the clenched fist before starting the treatment, and the rollers were lubricated with ultrasound gel. Immediately after the first treatment ses-sion, the finger and the wrist flexor spasticity had reducedto 2/5 and 2/5 respectively on the modified Ashworthscale in both patients, and this effect lasted for about 15minutes. Over 4 weeks of treatment 5 days/week, the distal tone reduction became persistent. Both patients had a modified Ashworth score of 2/5 for the fingers, tested while supine before the daily treatment session started,and the wrist scores were 2/5 (# 2) and 3/5 (#1). Passive hand care was easier, although active hand function did not change considerably; the FM scores were 9 and 13respectively.
 Pilot study in sub-acute patients
 The exploratory pilot study, approved by the local ethical committee, included eight hemiparetic patients who gave written informed consent. They suffered from a middle cerebral artery infarct 4–6 weeks earlier (additional file 1). The subjects were at least mobile in wheelchairs, and their Barthel Index (BI, 0–100) ranged from 55 to 70. Their upper limb was flaccid, and they could not volitionally extend the wrist or fingers: the FM score (0–66) ranged from 5 to 18. MRC grades of motor power are shown in additional file 3. The sensation was normal or only mildly affected, when tested for pain, touch, two-point discrimination, and position sense. All patients were already participating in a comprehensive in-patient rehabilitation programme including 45 min of physiotherapy and 30min of occupational therapy every workday. The major treatment goals were restoration of stance and gait, and independence in ADL. About 15% of total therapy time was devoted to upper limb work, such as shoulder mobilisation, holding the paretic arm extended while lying, weight acceptance tasks over the fully extended arm and bilateral manoeuvres such as moving a duster on a table.
 

 After consent, the patients were randomly allocated to two groups, A and B, by drawing a lot from an envelope. Both groups continued with conventional therapy. Group A had additional 20 minutes on the Finger Trainer each work day for 4 weeks, and group B had the same duration of daily group practice of bimanual upper limb exercises,in which the patient held a dusting cloth in their weak hand and pushed it over the surface of a table with their strong hand. The assessments before and after the 4 week intervention included the FM (total upper limb 0–66 and total distal0–30), the Box & Block test [19], a sum score of muscle power (0–30, wrist and finger flexion/extension and thumb abduction and adduction) based on the MRC(0–5), and a sum score of muscle tone (0–15, resistance to passive wrist and finger extension and thumb abduction, tested while supine) based on the modified Ash- worth score (0–5). None of the highly paretic patients was able to transfer a block within the Box & Block test ini-tially. The FM assessment (0–66) was videotaped with a mirror placed in an angle of 45° placed behind the patient, and an experienced therapist who was blinded with respect to the group assignment assessed & scored the videos of all patients.
Results
In addition to their regular programme, the four A group patients practised with the Finger Trainer for 20 minutes every workday for four weeks. The cam shaft rotation ranged from 20 to 25 revolutions/minute, and the vibration frequency from 25 to 35 Hz. Therapy-related side effects did not occur. Results for the 8 sub-acute stroke patients are shown in additional file 2 and additional file3. The mean distal Fugl-Meyer score increased in the control group from 1.25 > 2.75 (ns) and 0.75 > 6.75 in the treatment group (p < .05, paired t test vs baseline & t test  vs control final scores). Median Modified Ashworth score increased in the control group, but not in the treatment group. The distal upper limb muscle strength improved to a similar degree (see additional file 3). Only one patient,in the treatment group, showed any improvement inactive hand function, becoming able to transfer 16 blocks within one minute (additional file 2). He also used his paretic hand functionally in daily life, for instance when pulling off his pullover or holding objects, e.g. a tooth-paste tube. He was not able to open the tube with hisaffected hand. The remaining seven subjects did not spontaneously use their affected hand. The Barthel Indices of all patients improved, and there was no apparent group difference (additional file 3). Subjectively, the four A group patients were positive about treatment with the Finger Trainer as they felt something was happening with their paretic hand and the asynchronous movement of the fingers in combination with the vibration felt comfortable.
 Discussion
 The Finger Trainer is a newly developed device for the sensory motor rehabilitation of the plegic fingers after stroke. This small study shows a clinically significant difference in spasticity in the treatment & control groups, which would require a larger series to test statistically. We were pleasantly surprised to find a statistically significant improvement in Fugl-Meyer score in such a small trial and this certainly justifies a larger study to give more conclusive results. Patients tolerate and even like using it. Side effects did not occur, although we avoided patients with preexisting hand pain, arthritis or soft tissue problems, as we felt these people were most likely to develop problems. It remains to be seen if arthritis, which is very common among people in the age range who have strokes, is aggravated or helped by repetitive gentle movement. The two chronic patients showed reduced resistance to passive finger movements. Prolonged immobilization of the joint could have resulted in changes in the soft tissue and joint compliance associated with developing contractures [16] and the repetitive passive movement of the fingers may have improved soft tissue compliance. The vibration could also have played a role: Ahlborg et al., for instance, reported a tone-diminishing effect on the knee extensors in adults with cerebral palsy following whole-body vibration [20]. None of the four sub-acute A group patients, but three B group patients, developed a clinically significant increase in the resistance to passive finger extension. This finding supports the recommendation of Pandayan et al. that passive movements around the joints in non-functional patients should begin very early during their rehabilitation programme to prevent contractures [16]. The fingers share one of the largest cortical representationareas in the primary motor area. Two studies using severalcomplementary techniques have shown that passive limb movements, such as those made by the Finger Trainer,cause activation in the sensorimotor cortex in the same areas as active movements [21,22]. In healthy subjects,positron emission tomography has shown that active and passive elbow movements resulted in identical strong increases in regional blood flow in the sensorimotor cortex [21]. Similarly magnetencephalography has revealed dipolar sources within 1 cm of the central sulcus following passive finger movement [22]. While this evidence shows the benefit of passive movements, active movements do lead to greater cortical and muscle activation. Lotze et al measured changes in activation in the contralateral primary motor cortex (cM1)using fMRI and transcranial magnetic stimulation (TMS)following 30 min of either active or passive wrist extension in healthy subjects [23]. While passive movements caused some increase in activation, active training led to more prominent increases in fMRI activation, recruitment curves (TMS) and intracortical facilitation (TMS). The authors concluded that the results were consistent with the concept of a pivotal role for voluntary drive in motor learning. Accordingly, the finger trainer in its present form is rather limited as it only offers a passive movement,unlike the Rutgers Hand Master and the Howard Hand robot [10,12]. However, it is intended primarily for stroke patients with plegic fingers.For this subgroup of severely affected patients, who are unable to actively move their fingers, sensory stimulation may be particularly important. Hummelsheim et al.reported that, compared to voluntary muscle activation, a similarly strong facilitation of movement was obtained with cutaneous and proprioceptive stimuli in severely affected patients [24]. In adult owl monkeys, Jenkins et al.reported that functional cortical remodelling of the S1koniocortical field resulted from cutaneous stimulation of a limited sector of skin on the distal phalanges [25]. Byl et al. successfully used attended, graded, repetitive sensory and motor training activities, 1.5 hours per week for eight  weeks, to improve the fine motor control and sensory discrimination tasks in chronic stroke patients [26]. Somatosensory stimulation, delivered via electrical stimulation,also positively influenced the sensorimotor recovery in chronic stroke patients [27,28]. To enhance the sensory stimulation provided by the Finger Trainer, strips with different surface texture were attached to the inner surface of the concave roll of the index finger, and the patients were instructed to discriminate the different textures. Secondly, vibration was applied to primarily activate the Paccini corpuscles of the finger tips. Since the vibration motor was under the camshaft, the small amplitude vibration was not only felt in the distal phalanges but in the whole arm up to the shoulder. There is neurophysiological evidence in cats [29] and humans [30] that sensory stimulation induces long-term potentiation in the motor cortex, and increases corticospinal excitability. In clinical studies of stroke patients, Shira-hashi et al. reported that vibratory stimulation on the hand facilitated voluntary movements of a hemiplegic upper limb [31]. Tihanyi et al. showed that one bout of  whole body vibration transiently increased voluntary force and muscle activation of the quadriceps muscle affected by stroke [32].
In conclusion, the inexpensive Finger Trainer is a simple way of providing more intensive stimulation and passive stretching of plegic fingers after stroke. These preliminary results suggest further studies to examine its effect on muscle tone, ease of care, pain & active function are justified.



 

Case series

Chronic patients
 Two male chronic stroke patients, aged 55 (#1) and 67(#2) years, had suffered a supratentorial left hemisphere stroke resulting in a right hemiparesis 17 and 22 months before study onset. They participated in a comprehensive4 week in-patient rehabilitation programme for chronic stroke patients. The rehab programme included 45 minutes each of Bobath orientated physiotherapy and occupational therapy every workday, of which upper limb rehabilitation made up about 15% of physiotherapy and30% of occupational therapy time. The patients did not take any oral muscle relaxants, and had no botulinum toxin injections in the preceding 3months. Both were ambulatory and almost competent in the basic activities of daily living. The paretic upper extremity was severely affected, i.e. non-functional, and the fist was clenched due to severe wrist and finger flexor spasticity. The modified Ashworth scores (0–5) [17], was4/5 for the fingers and 3/5 for wrist in both patients. The Fugl-Meyer Motor Score for the upper limb (FM, 0–66)[18], was 7 and 9 respectively. Pain, touch and position sensation, and two-point discrimination were unimpaired.Initially, a therapist had to open the clenched fist before starting the treatment, and the rollers were lubricated with ultrasound gel. Immediately after the first treatment session, the finger and the wrist flexor spasticity had reduced to 2/5 and 2/5 respectively on the modified Ashworth scale in both patients, and this effect lasted for about 15minutes. Over 4 weeks of treatment 5 days/week, the distal tone reduction became persistent. Both patients had a modified Ashworth score of 2/5 for the fingers, tested while supine before the daily treatment session started,and the wrist scores were 2/5 (# 2) and 3/5 (#1). Passive hand care was easier, although active hand function did not change considerably; the FM scores were 9 and 13respectively.
Pilot study in sub-acute patients
 The exploratory pilot study, approved by the local ethical committee, included eight hemiparetic patients who gave written informed consent. They suffered from a middle cerebral artery infarct 4–6 weeks earlier (additional file 1). The subjects were at least mobile in wheelchairs, and their Barthel Index (BI, 0–100) ranged from 55 to 70. Their upper limb was flaccid, and they could not volitionally extend the wrist or fingers: the FM score (0–66) ranged from 5 to 18. MRC grades of motor power are shown in additional file 3. The sensation was normal or only mildly affected, when tested for pain, touch, two-point discrimination, and position sense. All patients were already participating in a comprehensive in-patient rehabilitation programme including 45 min of physiotherapy and 30min of occupational therapy every workday. The major treatment goals were restoration of stance and gait, and independence in ADL. About 15% of total therapy time was devoted to upper limb work, such as shoulder mobilisation, holding the paretic arm extended while lying, weight acceptance tasks over the fully extended arm and bilateral manoeuvres such as moving a duster on a table.
 

 After consent, the patients were randomly allocated to two groups, A and B, by drawing a lot from an envelope. Both groups continued with conventional therapy. Group A had additional 20 minutes on the Finger Trainer each work day for 4 weeks, and group B had the same duration of daily group practice of bimanual upper limb exercises,in which the patient held a dusting cloth in their weak hand and pushed it over the surface of a table with their strong hand. The assessments before and after the 4 week intervention included the FM (total upper limb 0–66 and total distal0–30), the Box & Block test [19], a sum score of muscle power (0–30, wrist and finger flexion/extension and thumb abduction and adduction) based on the MRC(0–5), and a sum score of muscle tone (0–15, resistance to passive wrist and finger extension and thumb abduction, tested while supine) based on the modified Ash- worth score (0–5). None of the highly paretic patients was able to transfer a block within the Box & Block test initially. The FM assessment (0–66) was videotaped with a mirror placed in an angle of 45° placed behind the patient, and an experienced therapist who was blinded with respect to the group assignment assessed & scored the videos of all patients.
Results
In addition to their regular programme, the four A group patients practised with the Finger Trainer for 20 minutes every workday for four weeks. The cam shaft rotation ranged from 20 to 25 revolutions/minute, and the vibration frequency from 25 to 35 Hz. Therapy-related side effects did not occur. Results for the 8 sub-acute stroke patients are shown in additional file 2 and additional file3. The mean distal Fugl-Meyer score increased in the control group from 1.25 > 2.75 (ns) and 0.75 > 6.75 in the treatment group (p < .05, paired t test vs baseline & t test  vs control final scores). Median Modified Ashworth score increased in the control group, but not in the treatment group. The distal upper limb muscle strength improved to a similar degree (see additional file 3). Only one patient,in the treatment group, showed any improvement inactive hand function, becoming able to transfer 16 blocks within one minute (additional file 2). He also used his paretic hand functionally in daily life, for instance when pulling off his pullover or holding objects, e.g. a tooth-paste tube. He was not able to open the tube with his affected hand. The remaining seven subjects did not spontaneously use their affected hand. The Barthel Indices of all patients improved, and there was no apparent group difference (additional file 3). Subjectively, the four A group patients were positive about treatment with the Finger Trainer as they felt something was happening with their paretic hand and the asynchronous movement of the fingers in combination with the vibration felt comfortable.
Discussion
 The Finger Trainer is a newly developed device for the sensory motor rehabilitation of the plegic fingers after stroke. This small study shows a clinically significant difference in spasticity in the treatment & control groups, which would require a larger series to test statistically. We were pleasantly surprised to find a statistically significant improvement in Fugl-Meyer score in such a small trial and this certainly justifies a larger study to give more conclusive results. Patients tolerate and even like using it. Side effects did not occur, although we avoided patients with preexisting hand pain, arthritis or soft tissue problems, as we felt these people were most likely to develop problems. It remains to be seen if arthritis, which is very common among people in the age range who have strokes, is aggravated or helped by repetitive gentle movement. The two chronic patients showed reduced resistance to passive finger movements. Prolonged immobilization of the joint could have resulted in changes in the soft tissue and joint compliance associated with developing contractures [16] and the repetitive passive movement of the fingers may have improved soft tissue compliance. The vibration could also have played a role: Ahlborg et al., for instance, reported a tone-diminishing effect on the knee extensors in adults with cerebral palsy following whole-body vibration [20].  None of the four sub-acute A group patients, but three Bgroup patients, developed a clinically significant increase in the resistance to passive finger extension. This finding supports the recommendation of Pandayan et al. that passive movements around the joints in nonfunctional patients should begin very early during their rehabilitation programme to prevent contractures [16]. The fingers share one of the largest cortical representation areas in the primary motor area. Two studies using several complementary techniques have shown that passive limb movements, such as those made by the Finger Trainer,cause activation in the sensorimotor cortex in the same areas as active movements [21,22]. In healthy subjects,positron emission tomography has shown that active and passive elbow movements resulted in identical strong increases in regional blood flow in the sensorimotor cortex [21]. Similarly magnetencephalography has revealed dipolar sources within 1 cm of the central sulcus following passive finger movement [22]. While this evidence shows the benefit of passive movements, active movements do lead to greater cortical and muscle activation. Lotze et al measured changes in activation in the contralateral primary motor cortex (cM1)using fMRI and transcranial magnetic stimulation (TMS)following 30 min of either active or passive wrist extension in healthy subjects [23]. While passive movements caused some increase in activation, active training led to more prominent increases in fMRI activation, recruitment curves (TMS) and intracortical facilitation (TMS). The authors concluded that the results were consistent with the concept of a pivotal role for voluntary drive in motor learning. Accordingly, the finger trainer in its present form is rather limited as it only offers a passive movement,unlike the Rutgers Hand Master and the Howard Hand robot [10,12]. However, it is intended primarily for stroke patients with plegic fingers.For this subgroup of severely affected patients, who are unable to actively move their fingers, sensory stimulation may be particularly important. Hummelsheim et al.reported that, compared to voluntary muscle activation, asimilarly strong facilitation of movement was obtained with cutaneous and proprioceptive stimuli in severely affected patients [24]. In adult owl monkeys, Jenkins et al.reported that functional cortical remodelling of the S1koniocortical field resulted from cutaneous stimulation of a limited sector of skin on the distal phalanges [25]. Byl et al. successfully used attended, graded, repetitive sensory and motor training activities, 1.5 hours per week for eight  weeks, to improve the fine motor control and sensory discrimination tasks in chronic stroke patients [26]. Somato-sensory stimulation, delivered via electrical stimulation,also positively influenced the sensorimotor recovery in chronic stroke patients [27,28]. To enhance the sensory stimulation provided by the Finger Trainer, strips with different surface texture were attached to the inner surface of the concave roll of the index finger, and the patients were instructed to discriminate the different textures. Secondly, vibration was applied to primarily activate the Paccini corpuscles of the finger tips. Since the vibration motor was under the camshaft, the small amplitude vibration was not only felt in the distal phalanges but in the whole arm up to the shoulder. There is neurophysiological evidence in cats [29] and humans [30] that sensory stimulation induces long term potentiation in the motor cortex, and increases corticospinal excitability. In clinical studies of stroke patients, Shira-hashi et al. reported that vibratory stimulation on the hand facilitated voluntary movements of a hemiplegic upper limb [31]. Tihanyi et al. showed that one bout of  whole body vibration transiently increased voluntary force and muscle activation of the quadriceps muscle affected by stroke [32]. In conclusion, the inexpensive Finger Trainer is a simple way of providing more intensive stimulation and passive stretching of plegic fingers after stroke. These preliminary results suggest further studies to examine its effect on muscle tone, ease of care, pain & active function are justified.