基于电容耦合的多导联心电监测系统研究
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摘要
传统的非接触式心电监测系统在硬质印刷电路板构建的电容电极基础上,使用单导联方式进行心电监测,且仅根据心率变化进行心脏异常诊断,无法满足当前临床诊断标准。基于电容耦合原理,设计了一款多导联心电监测系统,将3个由导电织布构成的柔性电容电极集成于椅座背部,用于获取标准肢体导联Ⅰ、Ⅱ、Ⅲ和加压单极肢体导联a VR、a VL、a VF等6导联心电信号。借由导电织布式柔性电容电极与人体表面较好的接触效应,可以有效减小运动伪影的产生。通过与硬质PCB电极输出的心电波形相比,使用本系统的患者在移动情况下输出的心电波形保持相对平稳状态,无明显运动伪影。系统实验证实了此新型多导联心电监测仪的有效性,不仅可以满足个人日常心电监测使用,而且适于长期动态心电监测。
The traditional non-contact ECG monitoring system uses hard printed circuit board( PCB) as a capacitive electrode and has only one single-lead. The diagnosis standard for heart abnormality is merely based on heart rate changes,which is not suitable for clinical diagnosis. In order to improve the quality of heart rate detection,based on the principle of capacitive coupling,a multi-lead ECG monitoring system was designed. Three flexible capacitive electrodes composed of conductive woven fabric were integrated on the back of the chair to obtain 6-lead ECG signals,which include standard limb leads Ⅰ,Ⅱ,Ⅲ and augmented unipolar limb leads a VR,a VL,a VF,etc.. Preliminary results demonstrated that the motion artifacts are effectively reduced due to the flexiblility of conductive fabric capacitive electrode. The experimental results also showed that the electrocardiographic waveform of the designed system is relatively stable compared with the ECG output of the hard PCB-based detection electrode in the case of patient movements,and there is no obvious motion artifacts. Thus,this novel monitoring system can meet the requirements of individual daily ECG monitoring usage and is suitable for long-term dynamic ECG monitoring.
The traditional non-contact ECG monitoring system uses hard printed circuit board( PCB) as a capacitive electrode and has only one single-lead. The diagnosis standard for heart abnormality is merely based on heart rate changes,which is not suitable for clinical diagnosis. In order to improve the quality of heart rate detection,based on the principle of capacitive coupling,a multi-lead ECG monitoring system was designed. Three flexible capacitive electrodes composed of conductive woven fabric were integrated on the back of the chair to obtain 6-lead ECG signals,which include standard limb leads Ⅰ,Ⅱ,Ⅲ and augmented unipolar limb leads a VR,a VL,a VF,etc.. Preliminary results demonstrated that the motion artifacts are effectively reduced due to the flexiblility of conductive fabric capacitive electrode. The experimental results also showed that the electrocardiographic waveform of the designed system is relatively stable compared with the ECG output of the hard PCB-based detection electrode in the case of patient movements,and there is no obvious motion artifacts. Thus,this novel monitoring system can meet the requirements of individual daily ECG monitoring usage and is suitable for long-term dynamic ECG monitoring.
引文
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[2]刘彬.心电信号特征识别及其在心血管疾病诊断中的应用[D].吉林大学,2014.
[3]李鸿强,崔佃银,袁丹阳,等.基于容性耦合电极的可穿戴心电信号检测及其去噪算法研究[J].传感技术学报,2017,30(1):8-15.
[4]Lee K M,Lee S M,Park K S.Belt-Type Wireless and Non-Contact Electrocardiogram Monitoring System Using Flexible Active Electrode[J].International Journal of Bioelectromagnetism,2010,12(4):153-157.
[5]Lopez A J,Richardson P C.Capacitive Electrocardiographic and Bioelectric Electrodes[J].IEEE Trans Biomed Eng,1969,99(16):99.
[6]Aleksandrowicz A,Leonhardt S.Wireless and Non-Contact ECG Measurement System——The“Aachen Smart Chair”[J].Acta Polytechnica,2007,47(4):68-71.
[7]Yang B,Yu C,Dong Y.Capacitively-Coupled Electrocardiogram Measuring System and Noise Reduction by Singular Spectrum Analysis[J].IEEE Sensors Journal,2016,16(10):3802-3810.
[8]Kim Y G,Kim K K,Park K S.ECG Recording on a Bed During Sleep Without Direct Skin-Contact[J].IEEE Transactions on Biomedical Engineering,2007,54(4):718-725.
[9]Leonhardt S,Aleksandrowicz A.Non-Contact ECG Monitoring for Automotive Application[C]//International Summer School and Symposium on Medical Devices and Biosensors,2008.Isss-Mdbs,2008:183-185.
[10]Minho C,Jin J J,Hun K S,et al.Reduction of Motion Artifacts and Improvement of R Peak Detecting Accuracy Using Adjacent NonIntrusive ECG Sensors:[J].Sensors,2016,16(5):715-733.
[11]林视达,朱纪军.基于织物电极的可穿戴式心电监护系统[J].传感技术学报,2017,30(6):944-949.
[12]Sun Y,Yu X B.Capacitive Biopotential Measurement for Electrophysiological Signal Acquisition:A Review[J].IEEE Sensors Journal,2016,16(9):2832-2851.
[13]Ottenbacher J,Rmer S,Kunze C,et al.Integration of a Bluetooth Based ECG System into Clothing[C]//The Eighth International Symposium on Wearable Computers(ISWC’04),2004,1:186-187.
[14]Chi Y M,Cauwenberghs G.Wireless Non-Contact EEG/ECG Electrodes for Body Sensor Networks[C]//International Conference on Body Sensor Networks.IEEE,2010:297-301.