Zhou Yue, Desplenter Tyler, Chinchalkar Shrikant, Trejos Ana Luisa
IEEE Int Conf Rehabil Robot. 2019 Jun;2019:1097-1102. doi: 10.1109/ICORR.2019.8779502.
Recent technological improvements are consistently improving the efficacy of wearable mechatronic devices designed to support rehabilitation. However, it has been identified that there is currently a limited number of devices that can perform resistive motion tasks. To address this limitation, a Wearable Mechatronics-Enabled (WearME) Glove has been developed to support rehabilitative motion tasks. Using the WearME Glove, a control system was developed to enable the performance of resistive finger and wrist motion tasks. An initial evaluation of the device applied to rehabilitation tasks shows that average control errors of 2.4% and 1.5% were achieved for a resistive finger task and a resistive wrist flexion-extension task, respectively. In addition, an analysis of each task showed that for the index finger, the thumb and the wrist motion, an average of 69%, 76% and 83% of the duration, respectively, were being resisted by the WearME Glove. The results of this study show that the WearME glove can provide consistent resistance to the finger and wrist for different rehabilitation tasks.
最近的技术改进一直在不断提高旨在支持康复的可穿戴机电一体化设备的功效。然而，目前已确定能够执行阻力运动任务的设备数量有限。为了解决这一限制，已开发出一种启用可穿戴机电一体化（WearME）的手套来支持康复运动任务。使用WearME手套，开发了一种控制系统，以实现阻力手指和手腕运动任务的执行。对应用于康复任务的该设备的初步评估表明，对于阻力手指任务和阻力手腕屈伸任务，平均控制误差分别达到了2.4%和1.5%。此外，对每个任务的分析表明，对于食指、拇指和手腕运动，WearME手套分别平均在69%、76%和83%的持续时间内提供阻力。这项研究的结果表明，WearME手套可以为不同的康复任务对手指和手腕提供持续的阻力。
