基于心电信号采集与处理的刺绣型织物电极研究  

An Investigation of Embroidery Fabric Electrode Based on ECG Signal Acquiring and Processing Technique

作　　者：刘振[1] 刘晓霞[1] 

机构地区：[1]上海工程技术大学服装学院,上海201620

出　　处：《材料导报（纳米与新材料专辑）》2016年第2期92-97,共6页

基　　金：上海市教委产学研究项目(15CXY36)

摘　　要：为实现对心电信号的长期穿戴式监测和生理状态的反馈,选用140D的镀银尼龙纱线,采用刺绣法制备织物电极,从织物电极的形状、尺寸以及使用过程中偏置电压的变化情况进行静态分析,得出电极本身因素和穿戴时间对电极使用效果的影响。然后,将小波变换除杂后织物电极采集的心电信号与标准电极采集的心电信号经过Matlab处理,分析织物电极采集心电信号的可行性。利用R波检测算法和QRS波群提取原理提取出两种特征波以及程序语言得到特征波形的规律,并反馈出受试者的生理状态。借助SPSS软件对两者采集的心电信号进行了相关性检验和回归分析,结果表明,刺绣型织物电极采集的心电信号与标准电极采集的心电信号具有强相关性。In order to achieve the long-term wearable monitoring of ECG signals and the feedback of physiologi cal state. This experiment used 140D silver-plated yarns to prepare fabric electrodes by embroidery. In this paper, the effects of electrode shape, size and bias voltage variation in use were statically compared with standard electrodes to get optimized process parameters for fabric electrodes. ECG signals collected by fabric electrodes filtered for removing impurity by wavelet transform would be compared with signals collected by standard electrode by Matlab from the per spective of data acquisition. The location of R character waves can be found by detection algorithm and the QRS wave group can be extracted by extraction principles. After the extraction of character waves, physiological state can be feedback by the characteristics of ECG signals in different cycle. SPSS software was used to test correlation and ana- lyze regression between the ECG signals collected by fabric electrode and standard electrode. It turned out that the ECG signals collected by the two electrodes both have strong correlation.

关 键 词：织物电极 心电信号 小波变换 Matlab处理 SPSS分析 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]