Paper
25 April 2022 The development of assistive device for active lower limb rehabilitation training
Zhen Shang, Hai Yan, Tian Wang
Author Affiliations +
Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 1224419 (2022) https://doi.org/10.1117/12.2635134
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China
Abstract
As an important supplement, rehabilitation training assistive device has a significant effect on the improvement of limb dysfunction in patients with hemiplegia. Most of the assistive devices supply patient with passive movement, which is unable to effectively meet the needs of active lower limb rehabilitation training. To solve this problem, an active rehabilitation training assistive device is developed. Using anthropometry, the static and dynamic dimensions of the assistive device is analyzed to decide the constraints of motion space. The change of foot pressure is selected as the trigger condition of assistive assistance compensation, and the patient - device interaction process is developed based on this. Patients and normal controls are selected for comparative experiments. Walking gait data of healthy leg and affected leg, patient and normal control, affected leg and assistive device correction are collected separately. Compare these groups of data, it can be seen that the main gait parameters of the patient's affected leg after correction have been significantly improved, and are basically consistent with the healthy leg and close to the normal control. The function of the assistive device prototype and the effectiveness of auxiliary training are verified.
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Zhen Shang, Hai Yan, and Tian Wang "The development of assistive device for active lower limb rehabilitation training", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 1224419 (25 April 2022); https://doi.org/10.1117/12.2635134
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KEYWORDS
Gait analysis

Control systems

Prototyping

Data conversion

Analytical research

Electrical engineering

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