南京大学学报（自然科学版）2016，Vol.52Issue(2)：390-397,8.DOI:10.13232/j.cnki.jnju.2016.02.021
基于九轴传感器的可穿戴式微功耗实时震颤监测系统
Design of wearable low-power real-time tremor monitoring system based on nine-axis sensor
摘要
Abstract
Hand tremor is one basic clinical symptom of Parkinson’s disease,the long-time quantitative tremor monitoring can provide objective basis for diagnosis and treatment of Parkinson’s disease.According to this,a wearable wireless low-power tremor monitoring system is designed,which can detect and record the hand tremors of Parkinson’s patients in real time.The acceleration velocity,angular velocity and magnetic field intensity parameters are obtained through a nine-shaft sensor,then,the patient hand gesture is obtained by calculation of these parameters through fusion algorithm.The above parameters are transmitted via wireless way to the computer for real-time display,and the PC software support data saving.The clinical trials of the prototype show that the transient response time of the position fusion algorithm is less than 1s,while the steady-state error is less than 1.5°.It can work 18 hours continuously by using 200 mAh Li-polymer battery.The indicators of the system meet the design expectations,and the real-time monitoring of Parkinson patients could be realized.关键词
九轴传感器/实时震颤监测/微功耗/可穿戴Key words
nine-axis sensor/real-time tremor monitoring/low power/wearable分类
基础医学引用本文复制引用
马小燕,殷杰..基于九轴传感器的可穿戴式微功耗实时震颤监测系统[J].南京大学学报（自然科学版）,2016,52(2):390-397,8.基金项目
江苏省高职院校高级访问工程师项目(2015FG055) （2015FG055）
