Paper
31 October 2022 Shoulder rehabilitation training exoskeleton design for stroke patients
Yunlong Hong, Haoxiang Ma, Yang Liu
Author Affiliations +
Proceedings Volume 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022); 124571Z (2022) https://doi.org/10.1117/12.2660729
Event: Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 2022, Changchun, China
Abstract
The number of stroke patients with senior conditions is rising steadily, which is a result of the major problem of population aging in China. Stroke is a condition that damages nerve tissue by preventing enough blood from reaching the brain because to blood vessel infarction in the brain. Stroke patients frequently experience sequelae like hemiplegia even after receiving emergency care, which has a significant negative influence on their ability to go about their regular lives. This study builds a three-degrees-of-freedom shoulder rehabilitation exoskeleton robot to aid in the treatment of motor nerve injury and offer more secure rehabilitation therapy equipment. This research examines the design of the ball hinge mechanism around the human obosmus humerus joint in conjunction with the concept of human anatomy in order to achieve greater compatibility for the robot shoulder construction. The motion of the robot system is then examined in this work, and a mathematical model built using the conventional D-H approach is established based on the features of the shoulder exoskeleton's design. MATLAB software is then used to evaluate the kinematic data in order to confirm the viability of the concept.
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Yunlong Hong, Haoxiang Ma, and Yang Liu "Shoulder rehabilitation training exoskeleton design for stroke patients", Proc. SPIE 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 124571Z (31 October 2022); https://doi.org/10.1117/12.2660729
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KEYWORDS
Kinematics

Monte Carlo methods

Motion analysis

Robotics

3D modeling

Motion models

Head

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