van Meulen Fokke B, Reenalda Jasper, Buurke Jaap H, Veltink Peter H
Biomedical Signals and Systems, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, PO Box 217, 7500 AE, Enschede, The Netherlands,
Ann Biomed Eng. 2015 Feb;43(2):478-86. doi: 10.1007/s10439-014-1198-y. Epub 2014 Dec 2.
For an optimal guidance of the rehabilitation therapy of stroke patients in an in-home setting, objective, and patient-specific performance assessment of arm movements is needed. In this study, metrics of hand movement relative to the pelvis and the sternum were estimated in 13 stroke subjects using a full body ambulatory movement analysis system, including 17 inertial sensors integrated in a body-worn suit. Results were compared with the level of arm impairment evaluated with the upper extremity part of the Fugl-Meyer Assessment scale (uFMA). Metrics of arm movement performance of the affected side, including size of work area, maximum reaching distance and movement range in vertical direction, were evaluated during a simulated daily-life task. These metrics appeared to strongly correlate with uFMA scores. Using this body-worn sensor system, metrics of the performance of arm movements can easily be measured and evaluated while the subject is ambulating in a simulated daily-life setting. Suggested metrics can be used to objectively assess the performance of the arm movements over a longer period in a daily-life setting. Further development of the body-worn sensing system is needed before it can be unobtrusively used in a daily-life setting.
为了在家中对中风患者的康复治疗进行最佳指导,需要对手臂运动进行客观且针对患者的性能评估。在本研究中,使用全身动态运动分析系统对13名中风受试者手部相对于骨盆和胸骨的运动指标进行了估计,该系统包括集成在可穿戴套装中的17个惯性传感器。将结果与使用Fugl-Meyer评估量表(uFMA)上肢部分评估的手臂损伤程度进行比较。在模拟日常生活任务期间,评估患侧手臂运动性能的指标,包括工作区域大小、最大伸展距离和垂直方向的运动范围。这些指标似乎与uFMA评分密切相关。使用这种可穿戴传感器系统,当受试者在模拟日常生活环境中行走时,可以轻松测量和评估手臂运动的性能指标。建议的指标可用于在日常生活环境中长时间客观评估手臂运动的性能。在可穿戴传感系统能够在日常生活环境中不引人注意地使用之前,还需要进一步开发。