Giuffrida Joseph P, Lerner Alan, Steiner Richard, Daly Janis
Division of Movement Disorders of Cleveland Medical Devices Inc., Cleveland, OH 44103, USA.
IEEE Trans Neural Syst Rehabil Eng. 2008 Feb;16(1):82-90. doi: 10.1109/TNSRE.2007.914454.
Brain injury resulting from stroke often causes upper-extremity motor deficits that limit activities of daily living. Several therapies being developed for motor rehabilitation after stroke focus on increasing time spent using the extremity to promote motor relearning. Providing a novel system for user-worn therapy may increase the amount and rate of functional motor recovery. A user-worn system comprising accelerometers, gyroscopes, and electromyography amplifiers was used to wirelessly transmit motion and muscle activity from normal and stroke subjects to a computer as they completed five upper-extremity rehabilitation tasks. An algorithm was developed to automatically detect the therapy task a subject performed based on the gyroscope and electromyography data. The system classified which task a subject was attempting to perform with greater than 80% accuracy despite the fact that those with severe impairment produced movements that did not resemble the goal tasks and were visually indistinguishable from different tasks. This developed system could potentially be used for home-therapy compliance monitoring, real-time patient feedback and to control therapy interventions.
中风导致的脑损伤常常会引起上肢运动功能障碍，限制日常生活活动。目前正在研发的几种中风后运动康复疗法聚焦于增加使用该肢体的时间，以促进运动再学习。提供一种供用户穿戴的新型治疗系统，可能会提高功能性运动恢复的量和速度。一个由加速度计、陀螺仪和肌电图放大器组成的用户穿戴系统，在正常人和中风患者完成五项上肢康复任务时，用于将他们的运动和肌肉活动无线传输到计算机。开发了一种算法，用于根据陀螺仪和肌电图数据自动检测受试者执行的治疗任务。尽管严重受损者产生的动作与目标任务不同，在视觉上与不同任务无法区分，但该系统对受试者试图执行的任务的分类准确率仍高于80%。这种研发出的系统可能会用于家庭治疗依从性监测、实时患者反馈以及控制治疗干预。
