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.

Friday, July 31, 2020

Persistent Effect of Gait Exercise Assist Robot Training on Gait Ability and Lower Limb Function of Patients With Subacute Stroke: A Matched Case–Control Study With Three-Dimensional Gait Analysis

I think this is it, you can see that this would be quite expensive.  Might be cheaper since only one leg is strapped in. My doctor thought the Lokomat wasn't worth it but I convinced him I was going to use it. It was the only thing that could tame my spasticity. And once again the crutch of further studies needed is used to explain why their research did not create a protocol.

Persistent Effect of Gait Exercise Assist Robot Training on Gait Ability and Lower Limb Function of Patients With Subacute Stroke: A Matched Case–Control Study With Three-Dimensional Gait Analysis

Yiji Wang1,2,3, Masahiko Mukaino1*, Satoshi Hirano1, Hiroki Tanikawa4, Junya Yamada5, Kei Ohtsuka4, Takuma Ii5, Eiichi Saitoh1 and Yohei Otaka1
  • 1Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Toyoake, Japan
  • 2Department of Spinal Cord Injury Rehabilitation, China Rehabilitation Research Center, Capital Medical University, Beijing, China
  • 3School of Rehabilitation Medicine, Capital Medical University, Beijing, China
  • 4Faculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Japan
  • 5Department of Rehabilitation, Fujita Health University Hospital, Toyoake, Japan
Introduction: Gait exercise assist robot (GEAR), a gait rehabilitation robot developed for poststroke gait disorder, has been shown to improve walking speed and to improve the poststroke gait pattern. However, the persistence of its beneficial effect has not been clarified. In this matched case–control study, we assessed the durability of the effectiveness of GEAR training in patients with subacute stroke on the basis of clinical evaluation and three-dimensional (3D) gait analysis.
Methods: Gait data of 10 patients who underwent GEAR intervention program and 10 patients matched for age, height, sex, affected side, type of stroke, and initial gait ability who underwent conventional therapy were extracted from database. The outcome measures were walk score of Functional Independence Measure (FIM-walk), Stroke Impairment Assessment Set total lower limb motor function score (SIAS-L/E), and 3D gait analysis data (spatiotemporal factors and abnormal gait patter indices) at three time points: baseline, at the end of intervention, and within 1 week before discharge.
Results: In the GEAR group, the FIM-walk score, SIAS-L/E score, cadence, and single stance time of paretic side at discharge were significantly higher than those at post-training (p < 0.05), whereas the stance time and double support time of the unaffected side, knee extensor thrust, insufficient knee flexion, and external rotated hip of the affected side were significantly lower (p < 005). However, no significant differences in these respects were observed in the control group between the corresponding evaluation time points.
Conclusion: The results indicated significant improvement in the GEAR group after the training period, with respect to both clinical parameters and the gait pattern indices. This improvement was not evident in the control group after the training period. The results possibly support the effectiveness of GEAR training in conferring persistently efficient gait patterns in patients with poststroke gait disorder. Further studies should investigate the long-term effects of GEAR training in a larger sample.

Introduction

Various assisted gait exercise robots have been developed and used in clinical practice. Previous studies have shown the effectiveness of several robots, such as Lokomat and Gait Trainer, in improving the walking ability of stroke patients when used in combination with routine physiotherapy compared with physiotherapy alone (Pohl et al., 2007; Schwartz et al., 2009; Morone et al., 2011).
The gait exercise assist robot (GEAR) is a type of gait rehabilitation robot developed to support gait practice of patients with poststroke severe hemiplegia (Hirano et al., 2017). Most of the previously reported gait exercise robots provide gait training of symmetrical gait pattern with the robotic devices worn on both lower limbs (Hesse et al., 1999; Colombo et al., 2000; Van Der Kooij et al., 2006). However, patients with severe hemiplegia need to walk with an asymmetrical gait pattern because of compensatory motion; therefore, the aim of gait practice is not to acquire the normal, symmetrical gait but to establish the best efficient gait pattern within the limitations of motor impairment. The GEAR is a stationary, one-leg GEAR designed to assist only the hemiplegic lower limb. The device is highly adjustable and incorporates various feedback mechanisms. The adjustability in the level of assistance enables the patients to deal with the changes in the severity of motor impairment during the subacute phase of stroke; in addition, the feedback facilitates motor learning of the patients. Previous studies have shown that the use of GEAR in addition to conventional physiotherapy helps achieve markedly improved walking ability and gait parameters compared with those in control patients who undergo physiotherapy alone (Katoh et al., 2019; Tomida et al., 2019). Notably, a kinematic analysis study with three-dimensional (3D) motion analysis system revealed the effectiveness of GEAR training in reducing abnormal patterns, as assessed by spatiotemporal and kinematic indices (Katoh et al., 2019).
However, many of the abnormal gait patterns are attributable to the compensatory movements in response to poststroke motor impairment and may be optimal for the level of hemiplegia. Therefore, it is possible that the improvement in the abnormal gait patterns merely reflect the temporal changes due to the GEAR-induced forced gait pattern; in effect, these changes may be negated after a certain period of time after completion of GEAR training. No previous studies have evaluated the durability of the improved gait patterns conferred by GEAR training using 3D gait analysis. In this context, it should be meaningful to evaluate the persistence of the effects of GEAR intervention on walking ability.
The purpose of this retrospective study was to investigate the persistent effect in gait ability with 3D gait analysis after the completion of GEAR training by comparing with that of strictly matched control subjects who did not undergo GEAR training.

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