Smoothening and Segmentation of ECG Signals Using Total Variation Denoising Minimization-Majorization and Bottom-Up Approach

被引：9
作者：
Yadav, Om Prakash [1 ]
Ray, Shashwati
机构：
[1] BIT Durg, Deptt Elect & Telecommun, Durg 491001, India
来源：
INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELLING AND SECURITY (CMS 2016) | 2016年 / 85卷
关键词：
ECG Signal; Total Variation; Majorization-Minimization; Bottom-Up approach; TIME-SERIES; ALGORITHMS;
D O I：
10.1016/j.procs.2016.05.195
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
An ECG Signal records electrical activity of heart. It includes information and is useful for diagnosis of heart related diseases. It encounters with various artifacts during acquisition and transmission. The unwanted signals/noises present in ECG signals disturb the clinical information present in it. This paper tries to reduce unwanted signals through Majorization-Minorization approach to optimize total variation in the signals. The denoised signal is then segmented using bottom up approach. The results show significant improvement in signal to noise ratio and successful segmentation of sections of ECG signals.
引用
收藏
页码：483 / 489
页数：7
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