Walking Ability Assessment System for Parkinson's Patients Based on Inertial Sensor
10.3969/j.issn.1671-7104.2017.06.007
- VernacularTitle:基于惯性传感器的帕金森患者行走能力评估系统
- Author:
Junli WEN
1
;
Xianjun YANG
;
Shengqiang XU
;
Yao LIU
;
Zheng TANG
;
Xiaolei QIU
;
Nanjyu XIE
;
Yining SUN
Author Information
1. 中国科学院合肥智能机械研究所
- Keywords:
inertial sensor;
Parkinson's disease;
walking ability;
classification
- From:
Chinese Journal of Medical Instrumentation
2017;41(6):415-418
- CountryChina
- Language:Chinese
-
Abstract:
In order to evaluate the ability of Parkinson's patients to walk comprehensively, a system based on MEMS to aid clinical quantification of ability in Parkinson's is established. The inertial units are respectively fixed on the back and the waist of subject to be measured. The Kalman fusion algorithm is used to extract the characteristic parameters of accelerometer and gyroscope data. SVM classifier is designed to train and test the classifier by the feature. The results show that the system possesses a high recognition rate for Parkinson's patients and normal subjects and for the classification of the walking ability of patients with Parkinson's disease. So, this system can aid doctors to give more object diagnostic conclusion.
