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Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
Published on: February 5, 2020
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Wheelchair propulsion fatigue thresholds in electromyographic and ventilatory testing
Liping Qi1,2, Li Zhang3, Xiang-Bo Lin4
1School of Biomedical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning, China. lipingqi@dlut.edu.cn.
Spinal Cord
|May 6, 2020
Summary
This study found that the electromyographic (EMG) fatigue threshold method accurately identifies muscle fatigue during wheelchair propulsion. This provides a reliable way to detect fatigue onset in wheelchair users.
Area of Science:
- Biomechanics and Exercise Physiology
- Rehabilitation Engineering
Background:
- Understanding physiological responses during manual wheelchair propulsion is crucial for optimizing performance and preventing fatigue.
- Muscular fatigue significantly impacts the efficiency and sustainability of wheelchair use.
Purpose of the Study:
- To detect electromyographic (EMG) and ventilatory fatigue thresholds during a single wheelchair incremental test.
- To examine the relationship between EMG threshold (EMGT) and ventilatory threshold (VT).
- To identify differences in EMGT between propulsive and recovery muscle synergies.
Main Methods:
- A qualitative study involving ten wheelchair users (seven males, three females) in a biomechanics laboratory.
- Recorded oxygen uptake and EMG signals during an incremental wheelchair ergometer test.
- Utilized the V-slope method for VT identification and bisegmental linear regression for EMGT determination in eight key upper limb muscles.
Main Results:
- Successfully determined EMGT and VT from a single incremental test for all participants.
- Demonstrated good agreement between EMGT and VT.
- Observed high similarity (ICC=0.91) in EMGT between propulsive and recovery muscles.
Conclusions:
- The EMG fatigue threshold method is a valid and reliable tool for detecting muscle fatigue during wheelchair propulsion.
- This method can form the basis for automated muscle fatigue detection and prediction in wearable technologies for wheelchair users.

