Biomedical Signals and Systems~(BSS) Research GroupUniversity of Twente7522LWEnschedeThe Netherlands.
Robotics and Mechatronics GroupUniversity of Twente7522NHEnschedeThe Netherlands.
IEEE J Transl Eng Health Med. 2020 Dec 7;9:2100211. doi: 10.1109/JTEHM.2020.3042931. eCollection 2021.
Stroke is one of the main causes of disability in the world, causing loss of motor function on mainly one side of the body. A proper assessment of motor function is required to help to direct and evaluate therapy. Assessment is currently performed by therapists using observer-based standardized clinical assessment protocols. Sensor-based technologies can be used to objectively quantify the presence and severity of motor impairments in stroke patients.
In this work, a minimally obstructive distributed inertial sensing system, intended to measure kinematics of the upper extremity, was developed and tested in a pilot study, where 10 chronic stroke subjects performed the arm-related tasks from the Fugl-Meyer Assessment protocol with the affected and non-affected side.
The pilot study showed that the developed distributed measurement system was adequately sensitive to show significant differences in stroke subjects' arm postures between the affected and non-affected side. The presence of pathological synergies can be analysed using the measured joint angles of the upper limb segments, that describe the movement patterns of the subject.
Features measured by the system vary from the assessed FMA-UE sub-score showing its potential to provide more detailed clinical information.
中风是世界上主要的致残原因之一，主要导致身体一侧失去运动功能。需要进行适当的运动功能评估，以帮助指导和评估治疗。目前，治疗师使用基于观察者的标准化临床评估方案进行评估。基于传感器的技术可用于客观地量化中风患者运动损伤的存在和严重程度。
在这项工作中，开发了一种最小妨碍的分布式惯性传感系统，旨在测量上肢的运动学，在一项初步研究中进行了测试，其中 10 名慢性中风患者使用受影响和未受影响的一侧完成了 Fugl-Meyer 评估方案中的手臂相关任务。
初步研究表明，开发的分布式测量系统足够灵敏，可显示中风患者手臂姿势在受影响和未受影响侧之间的明显差异。可以使用测量的上肢节段的关节角度来分析病理性协同作用，这些角度描述了受试者的运动模式。
该系统测量的特征与评估的 FMA-UE 子评分不同，表明其具有提供更详细临床信息的潜力。
