Ergometer-Based Lower Limb Rehabilitation Robot for Post-Stroke Hemiplegic Patients with Voluntary Movement Induction using Muscle Synergy

 But you didn't ask or answer the most important question! Did this get survivors fully recovered while using this in the hospital? Bad research!

Ergometer-Based Lower Limb Rehabilitation Robot for Post-Stroke Hemiplegic Patients with Voluntary Movement Induction using Muscle Synergy

Publisher: IEEE

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Daisuke Chugo; Yuya Miyazaki; Honoka Kubo; Satoshi Muramatsu; Sho Yokota; Jin-Hua She; Keio Ishiguro; Hiroshi Hashimoto

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Abstract

Document Sections

• I.
  Introduction
• II.
  Lower Limb Use Required for Normal Gait
• III.
  Ergometer-Type Gate Training Robot
• IV.
  Subject Experiments with Stroke Patients
• V.
  Conclusion

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Keywords

Abstract:

This paper proposes a lower limb rehabilitation robot for normal walking in post-stroke hemiplegic patients. Ergometers are commonly used for lower limb rehabilitation, but their use has depended on the experience of physiotherapists. Therefore, this paper proposes a new rehabilitation robot based on an ergometer that leads the patient to voluntary muscle activity and learns how to use the muscles required for normal walking. The paper first compares how pedestrians walk between a normal person and a hemiplegic patient using muscle synergy analysis to identify the lower limb usage required for normal gait. The paper then proposes a method to approach the use of the lower limb required for normal gait by changing the load depending on the position of the pedals when a hemiplegic patient uses the ergometer. This will enable stroke hemiplegic patients to train for normal gait(But did it succeed?) by pedaling the ergometer. The above proposed method has been implemented in our prototype robot and the effectiveness of our proposed method has been confirmed in experiments with post-stroke hemiplegic patients as subjects.

Published in: 2024 16th International Conference on Human System Interaction (HSI)

Date of Conference: 08-11 July 2024

Date Added to IEEE Xplore: 09 August 2024

ISBN Information:

ISSN Information:

DOI: 10.1109/HSI61632.2024.10613565

Publisher: IEEE

Conference Location: Paris, France

Ergometer training in stroke rehabilitation: Systematic review and meta-analysis

So you failed in your research goal to come up with protocols on ergometer training. I had a Concept II ergometer in the basement, wished I'd requested it as part of the divorce.

Ergometer training in stroke rehabilitation: Systematic review and meta-analysis

Archives of Physical Medicine and Rehabilitation , Volume 101(4) , Pgs. 674-689.

NARIC Accession Number: J83779.  What's this?
ISSN: 0003-9993.
Author(s): Veldema, Jitka ; Jansen, Petra.
Publication Year: 2020.
Number of Pages: 16.

Abstract: 

Study evaluated the strength of the evidence on the potential of ergometer training in stroke rehabilitation. The PubMed and PEDro databases were searched prior to January 22, 2019 for randomized controlled trials investigating the effects of ergometer training on stroke recovery. Two reviewers independently selected the studies, performed independent data extraction, and assessed the risk of bias. A total of 28 studies (including 1,115 subjects with stroke) were included. The data indicates that ergometer training leads to a significant improvement in walking ability, cardiorespiratory fitness, motor function, muscular force of the lower limbs, balance and postural control, spasticity, cognitive abilities, and the brain's resistance to damage and degeneration. Furthermore, neuromuscular functional electrical stimulation-assisted ergometer training is more efficient than ergometer training alone and high-intensity ergometer training is more efficient that low-intensity ergometer training. Study indicate that ergometer training is more efficient than other therapies in supporting cardiorespiratory fitness, independence in activities of daily living, and balance and postural control, but less efficient in improving walking ability. Findings suggest ergometer training can support motor recovery after stroke. However, current data is insufficient for evidence-based rehabilitation. More data is required about the effects of ergometer training on cognitive abilities, emotional status, and quality of life in subjects with a history of stroke.
Descriptor Terms: BODY MOVEMENT, EXERCISE, LIMBS, LITERATURE REVIEWS, MOBILITY IMPAIRMENTS, NEUROMUSCULAR DISORDERS, OUTCOMES, REHABILITATION, STROKE, THERAPEUTIC TRAINING.


Can this document be ordered through NARIC's document delivery service*?: Y.

Citation: Veldema, Jitka , Jansen, Petra. (2020). Ergometer training in stroke rehabilitation: Systematic review and meta-analysis.  Archives of Physical Medicine and Rehabilitation , 101(4), Pgs. 674-689. Retrieved 7/18/2020, from REHABDATA database.

Ergometer training in stroke rehabilitation: systematic review and meta-analysis

I wish I'd known about this when going thru my divorce, I would have requested our Concept II ergometer.  But followup needed for your doctor and stroke hospital to ensure it gets done. No followup have your board of directors and president fired. We need to clean out a lot of dead wood in stroke because NOTHING is being done to get to 100% recovery.

Ergometer training in stroke rehabilitation: systematic review and meta-analysis

Dr. Jitka Veldema^1,∗,Correspondence information about the author Dr. Jitka VeldemaEmail the author Dr. Jitka Veldema

,

Prof. Petra Jansen¹

Abstract

Objective

Ergometer training is routinely used in stroke rehabilitation. How robust is the evidence of its effects?

Data source

The PubMed database and PEDro database were reviewed prior to 22/01/2019.

Study selection

Randomized controlled trials investigating the effects of ergometer training on stroke recovery were selected.

Data extraction

Two reviewers independently selected the studies, performed independent data extraction, and assessed the risk of bias.

Data synthesis

A total of 28 studies (including 1115 stroke subjects) were included. The data indicates that (1) ergometer training leads to a significant improvement of walking ability, cardiorespiratory fitness, motor function and muscular force of lower limbs, balance and postural control, spasticity, cognitive abilities, as well as the brain’s resistance to damage and degeneration, (2) neuromuscular functional electrical stimulation assisted ergometer training is more efficient than ergometer training alone, (3) high-intensity ergometer training is more efficient that low-intensity ergometer training, and (4) ergometer training is more efficient than other therapies in supporting cardiorespiratory fitness, independence in activities of daily living, and balance and postural control, but less efficient in improving walking ability.

Conclusion

Ergometer training can support motor recovery after stroke. However, current data is insufficient for evidence-based rehabilitation. More data is required about the effects of ergometer training on cognitive abilities, emotional status, and quality of life in stroke subjects.

Design and simulation of wheel-chaired elliptical stepping exercise for stroke rehabilitation

I'm sure your doctor has figured out a way to accomplish this exercise already for those still in wheelchairs.
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6701668&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6701668
Yahaya, S.Z. ; Faculty of Electrical Engineering, Universiti Teknologi MARA, 13500 Permatang Pauh, Penang, Malaysia ; Hussain, Z. ; Boudville, R.
Stroke disease is one of the major killer diseases worldwide and most of the survivors will end with certain level of impairment. They commonly are wheelchair bounded and require scheduled rehabilitation exercise to regain their walking capability or mobility. This paper presents the design of elliptical stepping exercise ergometer for functional electrical stimulation (FES) assisted exercise. The concept of wheel-chaired cycling and elliptical stepping had been adapted in producing the ergometer design. The dynamic simulation has been performed on Visual Nastran 4D and Matlab Simulink to evaluate the performance of the exercise that includes the exercise ergometer, humanoid model and quadriceps muscle model. In the simulation work, the paretic leg (left side) is driven via FES-assisted while the non-paretic leg (right side) is driven via controlled knee joint torque. The result shows that the FES-assisted elliptical stepping exercises with voluntary non-paretic movement contribute better cadence speed control. Further improvement on the controller design is required to make sure suitable FES pattern can be delivered and better cadence speed control can be achieved in simulation environment as well as real implementation.