Department of Kinesiology, Michigan State University, East Lansing, MI, United States of America. Department of Mechanical Engineering, Michigan State University, East Lansing, MI, United States of America.
Physiol Meas. 2017 Nov 30;38(12):2222-2234. doi: 10.1088/1361-6579/aa9835.
Movement impairments such as those due to stroke often result in the nervous system adopting atypical movements to compensate for movement deficits. Monitoring these compensatory patterns is critical for improving functional outcomes during rehabilitation. The purpose of this study was to test the feasibility and validity of a wearable sensor system for detecting compensatory trunk kinematics during activities of daily living.
Participants with no history of neurological impairments performed reaching and manipulation tasks with their upper extremity, and their movements were recorded by a wearable sensor system and validated using a motion capture system. Compensatory movements of the trunk were induced using a brace that limited range of motion at the elbow.
Our results showed that the elbow brace elicited compensatory movements of the trunk during reaching tasks but not manipulation tasks, and that a wearable sensor system with two sensors could reliably classify compensatory movements (~90% accuracy).
These results show the potential of the wearable system to assess and monitor compensatory movements outside of a lab setting.
运动障碍，如中风引起的运动障碍，常导致神经系统采用非典型运动来代偿运动缺陷。监测这些代偿模式对于改善康复期间的功能结果至关重要。本研究的目的是测试一种可穿戴传感器系统在检测日常生活活动中代偿性躯干运动的可行性和有效性。
无神经损伤史的参与者用上肢进行伸手和操作任务，他们的运动由可穿戴传感器系统记录，并使用运动捕捉系统进行验证。通过限制肘部运动范围的支架来诱发躯干的代偿运动。
我们的结果表明，在伸手任务中，肘支架会引起躯干的代偿运动，但在操作任务中不会，并且两个传感器的可穿戴传感器系统可以可靠地对代偿运动进行分类（~90%的准确率）。
这些结果表明，可穿戴系统具有在实验室环境之外评估和监测代偿运动的潜力。
