Blind Signal Processing for Electrocardiogram Signal Transmission

被引:0
|
作者
Priya, L. [1 ]
Kandaswamy, A. [2 ]
Lakshmi, C. D. [1 ]
机构
[1] PSG Coll Technol, Dept Biomed Engn, Coimbatore, Tamil Nadu, India
[2] PSG Coll Technol, Ind Sponsored Res & Consultancy, Coimbatore, Tamil Nadu, India
来源
JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH | 2016年 / 75卷 / 09期
关键词
ECG; ISI; MSE; Correlation Coefficient; Convergence Rate; Computational Complexity; Biotelemetry; WBAN's;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Direct transmission of Electrocardiogram (ECG) signal through wireless network is susceptible to Inter Symbol Interference (ISI). Transmission of ECG signal over a band limited channel or through a multipath propagation causes ISI. The proposed work mitigates the Inter symbol Interference using blind equalization algorithm and estimate the transmitted ECG signal without transmitter assistance. This paper discuss the importance of blind equalization for physiological signal transmission over existing wireless networks such as 3G mobile networks and Wireless Body Area Networks (WBAN's). This method has been validated Swith existing conventional equalization techniques based on computational complexity, correlation coefficient, convergence rate and Mean Square Error (MSE). Results indicated that the performance of blind equalizer same as that of the non blind equalizer, but they do not rely on training signals is the major advantage for deploying this blind receiving scheme in biotelemetry applications.
引用
收藏
页码:547 / 551
页数:5
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