Determination of Signal to Noise Ratio of Electrocardiograms Filtered by Band Pass and Savitzky-Golay Filters

被引：22
|
作者：
Chakraborty, Monisha [1 ]
Das, Shreya [1 ]
机构：
[1] Jadavpur Univ, Sch Biosci & Engn, Kolkata, India
来源：
2ND INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION, CONTROL AND INFORMATION TECHNOLOGY (C3IT-2012) | 2012年 / 4卷
关键词：
Electrocardiograms; QRS detection; Savitzky-Golay filter; signal to noise ratio;
D O I：
10.1016/j.protcy.2012.05.136
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Digital or electronic displays of biosignals like electrocardiograms (ECGs) require noise reduction for accurate representation. In this paper noise reduction of normal ECG has been done using two types of filtering. The first type is band pass filtering of ECG, the filter taken from Pan Tompkins' algorithm of QRS detection, and the second type is Savitzky-Golay filtering of ECG. The band pass filter consists of a low pass filter with subsequent high pass filter. Then signal to noise ratio (SNR) has been calculated for the two types, after filtering to compare which method is better for ECG filtering. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of C3IT
引用
收藏
页码：830 / 833
页数：4
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