基于九轴传感器的可穿戴式微功耗实时震颤监测系统

南京大学学报(自然科学版) ›› 2016, Vol. 52 ›› Issue (2): 390–.

基于九轴传感器的可穿戴式微功耗实时震颤监测系统

马小燕¹*，殷　杰²

出版日期:2016-03-27 发布日期:2016-03-27
作者简介: 1.扬州工业职业技术学院，扬州，225127；2.南京大学物理学院，南京，210093
基金资助:
基金项目：江苏省高职院校高级访问工程师项目(2015FG055)
收稿日期：2015－04－15
*通讯联系人，Email：horse_swallow@126.com

Design of wearable lowpower realtime tremor monitoring system based on nineaxis sensor

Ma Xiaoyan¹*，Yin Jie²

Online:2016-03-27 Published:2016-03-27
About author: 1.School of Electrical and Information Engineering，Yangzhou Polytechnic Institute，Yangzhou，225127，China；
2．School of Physics，Nanjing University，Nanjing，210093，China

摘要/Abstract

摘要： 手部震颤是帕金森病的一项基本临床症状，对震颤的长时定量监测可为帕金森的临床诊断和治疗提供客观依据．据此，设计了基于九轴传感器的可穿戴式微功耗实时震颤监测系统，实现了对帕金森患者手部震颤特征的长时间低负荷实时检测和无线传输记录．九轴传感器用于获取加速度、角速度和磁场强度多个参量，利用融合算法分析上述参量可得到病人手部姿态数据，数据经微尺寸采集发射节点无线传输至上位机实时显示并保存．样机的临床实验表明，系统的瞬态响应时间小于1 s，稳态误差小于1.5°，在使用200 mAh锂聚合物电池时可连续工作18 h，系统各项指标均达到设计预期，可实现对帕金森患者的长时间实时监测．

Abstract: Hand tremor is one basic clinical symptom of Parkinson’s disease，the longtime quantitative tremor monitoring can provide objective basis for diagnosis and treatment of Parkinson’s disease.According to this，a wearable wireless lowpower 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 nineshaft 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 realtime 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 steadystate error is less than 1.5°.It can work 18 hours continuously by using 200 mAh Lipolymer battery.The indicators of the system meet the design expectations，and the realtime monitoring of Parkinson patients could be realized.

马小燕¹*，殷　杰². 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–.

Ma Xiaoyan¹*，Yin Jie². Design of wearable lowpower realtime tremor monitoring system based on nineaxis sensor[J]. Journal of Nanjing University(Natural Sciences), 2016, 52(2): 390–.

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