ECG Denoising by using FIR and IIR Filtering Techniques: An Experimental Study

被引：5

作者：

Betancourt, Nancy ^{[1
]}

Flores-Calero, Marco ^{[2
]}

Almeida, Carlos ^{[3
]}

机构：

[1] Univ Fuerzas Armadas ESPE, Dept Ciencias Computac, Escuela Politecn Nacl, Dept Ciencias Exactas, Quito, Ecuador

[2] Univ Fuerzas Armadas ESPE, Dept Elect & Elect, Sangolqui, Ecuador

[3] Escuela Politec Nacl, Dept Matemat, Quito, Ecuador

来源：

ICBBT 2019: 2019 11TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL TECHNOLOGY | 2019年

关键词：

ECG; Denoising; Filters; FIR; IIR; DATA-COMPRESSION;

D O I：

10.1145/3340074.3340088

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this work an experimental study is presented by verifying the performance of the FIR and IIR filters. These techniques have been used to eliminate the different types of intrinsic noise of the ECG signal. In order to measure the quality of the filters the MIT-BIH database and the metrics, percentage root mean square difference (PRD), signal to noise ratio (SNR) and mean square error (MSE) have been used. The results indicate that the filter IIR 7 has better quality to eliminate power line interference and base line wander.

引用

页码：111 / 117

页数：7

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