An Accelerometer-based Festinating Gait Detection Algorithm and Its Application to Parkinson's Disease Development

被引：0

作者：

Lin, Wen-Yen ^{[1
,3
]}

Chou, Wen-Zheng ^{[1
]}

Wu, Wen-Shao ^{[1
]}

Lee, Ming-Yih ^{[2
,3
]}

机构：

[1] Chang Gung Univ, Ctr Biomed Engn, Dept Elect Engn, Taoyuan, Taiwan

[2] Chang Gung Univ, Ctr Biomed Engn, Grad Inst Med Mechatron, Taoyuan, Taiwan

[3] Chang Gung Mem Hosp, Div Cardiol, Dept Internal Med, Taoyuan, Taiwan

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2016年

关键词：

MOVEMENT;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Festinating gait is one of the most commonly seen motor symptoms of Parkinson's Disease patients. In this research, an accelerometer-based sensing system implemented on a vest is used to detect the behavior of festinating gait. The detection algorithm is based on the analysis of gait symmetry from the data measured by accelerometers. Specific indices were proposed to evaluate the severity of festinating gait behavior. Along with detection of the upper body lean forward angle while walking, the system could be used as a long-term trend monitoring tool for the development of festinating gait. This application could help users to know the development of the progressive behavior of festinating gait and hence to get proper treatment on PD earlier.

引用

页码：3577 / 3580

页数：4

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