A Wireless Human Motion Monitoring System for Smart Rehabilitation

A Wireless Human Motion Monitoring System for Smart Rehabilitation
复制标题

DOI:
10.1115/1.4033949
复制
发表时间:
2016-11-01
影响因子:
1.7
通讯作者:
Byl, Nancy
Byl, Nancy
中科院分区:
计算机科学4区
文献类型:
--
作者:
Zhang, Wenlong;Tomizuka, Masayoshi;Byl, Nancy

文献摘要

被引文献

相似文献

本文提出了一种无线人体运动监测系统,用于康复训练中的步态分析和视觉反馈。该系统由多个惯性传感器和一双带有压力传感器的智能鞋组成。惯性传感器可以捕捉下肢关节在三个维度的旋转,智能鞋可以测量行走过程中两脚的力分布。根据原始测量数据,计算步态阶段、步长和压力中心(CoP),以评估异常步行行为。用户界面在笔记本电脑和移动设备上开发,为患者和物理治疗师提供视觉反馈。该系统已在健康受试者身上进行了测试,然后应用于 24 名患者的临床研究。经验证,患者能够理解系统直观的视觉反馈,与物理治疗师进行的传统步态训练相比,取得了相似的训练效果。对一名健康受试者、一名中风患者和一名帕金森病患者的实验结果进行比较,以证明该系统的性能。
In this paper, a wireless human motion monitoring system is presented for gait analysis and visual feedback in rehabilitation training. The system consists of several inertial sensors and a pair of smart shoes with pressure sensors. The inertial sensors can capture lower-extremity joint rotations in three dimensions and the smart shoes can measure the force distributions on the two feet during walking. Based on the raw measurement data, gait phases, step lengths, and center of pressure (CoP) are calculated to evaluate the abnormal walking behaviors. User interfaces are developed on both laptops and mobile devices to provide visual feedback to patients and physical therapists. The system has been tested on healthy subjects and then applied in a clinical study with 24 patients. It has been verified that the patients are able to understand the intuitive visual feedback from the system, and similar training performance has been achieved compared to the traditional gait training with physical therapists. The experimental results with one healthy subject, one stroke patient, and one Parkinson's disease patient are compared to demonstrate the performance of the system.