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首页> 外文期刊>Journal of Medical Imaging and Health Informatics >Application of Adaptive Signal Processing for Electrocardiogram Signal Analysis: Interference Cancellation
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Application of Adaptive Signal Processing for Electrocardiogram Signal Analysis: Interference Cancellation

机译：自适应信号处理在心电图信号分析中的应用：干扰消除

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摘要

The proposed work focuses on the analysis of Intersymbol Interference (ISI) based error in cardiac signal over wireless network. Electrocardiogram (ECG) signal over telephonic channel, ambulatory monitors and ECG recorders in intensive care unit through wireless network poses a severe challenge as a medium for reliable highspeed data communication. Transmission of such high speed ECG signals through multipath channel is subject to ISI, whereby adjacent symbols on the output of the channel overlap each other which results in irreducible errors in the detected signal. This paper investigates the performance of adaptive prediction technique for minimizing the error, to make the received ECG data at the receiver end to be error free. This paper discusses the feasibility of adaptive prediction technique for ECG transmission over existing wireless networks such as Global System for Mobile Communication (GSM), General Packet Radio Services (GPRS) and Wideband Code Division Multiple Access (W-CDMA). Simulation results show that the adaptive predictor output signal is highly correlated with the original transmitted ECG signal. The method has been validated on the measurement of Mean Square Error (MSE), computational complexity and convergence rate compared with traditional methods, which are the major advantages for deploying this scheme to healthcare monitoring systems.
机译：拟议的工作重点是通过无线网络分析基于符号间干扰（ISI）的心脏信号中的错误。通过无线网络通过重症监护病房的电话通道，门诊监护仪和心电图记录仪产生的心电图（ECG）信号，作为可靠的高速数据通信的媒介，构成了严峻的挑战。这样的高速ECG信号通过多径信道的传输要经过ISI，从而使信道输出上的相邻符号彼此重叠，从而在检测到的信号中产生不可减少的错误。本文研究了将误差最小化的自适应预测技术的性能，以使接收器端接收到的ECG数据无误。本文讨论了在现有无线网络（如全球移动通信系统（GSM），通用分组无线业务（GPRS）和宽带码分多址（W-CDMA））上进行ECG传输的自适应预测技术的可行性。仿真结果表明，自适应预测器输出信号与原始传输的ECG信号高度相关。与传统方法相比，该方法已在均方误差（MSE）的测量，计算复杂性和收敛速度方面得到了验证，这是将该方案部署到医疗监护系统的主要优势。

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