通过穿戴式传感器的步态分析预康复和健康

ICCET '18 Pub Date : 2018-02-24 DOI:10.1145/3194244.3194258
Neha Sathe, A. Hiwale, R. Phalnikar
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引用次数: 3

摘要

步态分析用于测量人体活动水平,是卫生专业人员的一个重要方面。它有助于理解由于某些骨科疾病或某些神经系统疾病而导致的运动限制。健康分析虽然至关重要,但仅限于常规病理监测和营养师咨询。它的一个可能的延伸可能是预适应(pre- hab)过程的健康。预适应过程有助于你的身体为高水平的活动做好准备,减少受伤的可能风险,并确保快速恢复。本文的工作重点是利用加速度计、陀螺仪和肌电图组成的穿戴式传感器来识别前肢的步态模式。连续远程监控是通过传感器连接到物联网(IoT)来完成的。使用数据分析模块对正常或异常的步态进行分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pre-Habilitation and Wellness through Gait Analysis using Body Worn Sensors
Gait analysis that is used to measure human activity level, is an important aspect for the health professionals. It helps in understanding the limitations caused in the locomotion due to some orthopedic conditions or some neurological disorders. Health analysis though of key importance is yet, limited to the routine pathological monitoring and dietitian consultation. A possible Extension of it could be pre--habilitation (Pre-hab) process for wellness. Pre-hab process helps to prepare your body for high level of activities, reduces the possible risk of injury and ensures quick recovery. The work proposed in the paper emphasize on aspect of Recognition of Gait Pattern for pre-hab through the body worn sensors comprising of accelerometer, gyroscope & electromyography. Continuous remote monitoring is done using sensor connectivity to internet of things (IoT). The analysis of normal or abnormal gait is done using the Data Analytics Module.
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