摘要
随着安卓手机的硬件性能的不断提高,使得日常生活中的生理检测成为可能。为此,设计了一种便携的基于安卓平台的脑-心电监护系统。该系统由脑-心电采集模块、WiFi模块、数据处理和监测模块和医疗服务器组成。由脑-心电采集模块采集到的数据,通过WiFi模块将数据转传输至安卓手机显示和分析。安卓手机通过互联网、3G等将信息传输给医疗服务器做进一步分析和诊断。为了确保信号处理的实时性,安卓手机针对脑电采用排序熵分析方法,针对心电采用二进离散小波(DDWT)分析。整个系统为用户提供了一个可靠的家用健康监护平台。
With the promotion of hardware of Android smart phone,it is possible that we can do physiological monitoring in daily life.A convenient electroencephalography (EEG)-electrocardiogram (ECG) monitoring system based on Android platform is designed.The system includes an EEG-ECG acquisition module,a WiFi module,a data processing and monitoring module and a medical server.The data from the acquisition module are transmitted to the Android smart phone to display and analyze through WiFi.The Android phone transfers the information to the medical server for further analysis and diagnosis via the Internet,GPRS,3G and so on.In order to ensure the real-time signal processing,we use the algorithm of permutation entropy and dyadic discrete wavelet transform (DDWT).The monitoring system provides users with a reliable health care platform for home use.
出处
《国外电子测量技术》
2014年第6期91-94,共4页
Foreign Electronic Measurement Technology
基金
国家自然科学基金(61304247
61271142)
秦皇岛市科技支撑计划(2012021A059)资助项目
关键词
脑-心电监测
安卓智能手机
排序熵
二进离散小波变换
EEG-ECG monitoring
Android smart phone
permutation entropy
discrete dyadic wavelet transforms