Abnormal-gait based auxiliary diagnosis system for Parkinson's disease

被引：0

作者：

Fan, Xuwei ^{[1
]}

Gao, Zhibin ^{[1
]}

Lin, Hezhi ^{[1
]}

Huang, Lianfen ^{[1
]}

机构：

[1] Department of Communication Engineering, Xiamen University, Xiamen, Fujian, China

来源：

Journal of Computers (Taiwan) | 2020年 / 31卷 / 01期

关键词：

Parkinson's disease as a neurological disease affects the patient's gait. It is very dangerous for the Parkinson's patient to have panic gait and freezing of gait (FOG). With the development of medical technology; Parkinson's disease can be well controlled; so that the early diagnosis of abnormal gait of patients has caused widespread concern. We design a auxiliary diagnosis system based on abnormal gait. Through the study of linear regression and wavelet transform; we finally successfully detect the patient's panic gait and freezing of gait (FOG). The average detection error of the step length is 3.17cm; the sensitivity of FOG detection is 90.2% and the specificity is 88.0%. The test results show that the abnormal-gait based auxiliary diagnosis system for Parkinson's disease can help doctors to diagnose the patient's symptoms and has a good application prospect. © 2020 Computer Society of the Republic of China. All rights reserved;

D O I：

10.3966/199115992020023101019

中图分类号：

学科分类号：

摘要：

引用

页码：218 / 224