Development of an extensible, wireless framework for personalized muscle rehabilitation

A. Jasuja, Varan Gupta, N. Sreenivasalu, Mary Liu, J. Monz, J. Nir, S. Bhasin
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引用次数: 1

Abstract

Hemiparesis is progressive muscle weakness in one half of the body, commonly observed in traumatic brain injury or stroke patients. Usually, physiotherapists design in-person assistive exercises to restore muscle strength and range of motion for affected side of the patient. Alternatively, functional electrical stimulation (FES) devices have also been used, though the equipment is expensive, non-portable, and provides limited configurability for personalized rehabilitation. This paper presents a low-cost, open architecture framework that enables: a) Remote programming of muscle stimulation routine by therapist; b) Delivery of FES sequence to patient wirelessly, and c) Provide quantitative feedback (through Electromyogram (EMG)) on dynamics of exercised muscle with progressive rehabilitation of the patient. The extensible framework overcomes the major drawback of expensive, closed commercial systems, thereby allowing integration of multiple sensors to monitor muscle function. Rehabilitation efficacy feedback will allow an opportunity to personalize rehabilitation and increase patient compliance.
开发一种可扩展的无线框架,用于个性化肌肉康复
偏瘫是身体一半的进行性肌肉无力,常见于外伤性脑损伤或中风患者。通常,物理治疗师会设计面对面的辅助练习来恢复患者患病侧的肌肉力量和活动范围。另外,功能性电刺激(FES)设备也被使用,尽管该设备价格昂贵,不可携带,并且对个性化康复的可配置性有限。本文提出了一种低成本的开放式架构框架,可以实现:a)治疗师远程编程肌肉刺激程序;b)将FES序列无线传送给患者,c)在患者逐步康复的过程中,对运动肌肉的动态进行定量反馈(通过肌电图(EMG))。可扩展的框架克服了昂贵、封闭的商业系统的主要缺点,从而允许集成多个传感器来监测肌肉功能。康复疗效反馈将提供个性化康复和提高患者依从性的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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