A Wavelet Transform-Based Filter Bank Architecture for ECG Signal Denoising

被引：3

作者：

Kumar, Ashish ^{[1
]}

Komaragiri, Rama ^{[1
]}

Kumar, Manjeet ^{[1
]}

机构：

[1] Bennett Univ, Elect & Commun Engn, Greater Noida 201310, India

来源：

RECENT FINDINGS IN INTELLIGENT COMPUTING TECHNIQUES, VOL 2 | 2018年 / 708卷

关键词：

Cardiovascular diseases (CVDs); Electrocardiogram (ECG); Wavelet filter bank (WFB); DETECTOR;

D O I：

10.1007/978-981-10-8636-6_26

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the present work, a wavelet transform-based filter bank architecture suitable for ECG signal denoising is proposed. Firstly, wavelet transform functions are used to filter the signals in Matlab R2013b, and then, the resulting signal is converted into 16-bit binary data. This data is used further as an input of QRS detection block. Modified architecture contains only three low-pass filters and a high-pass filter, which is less compared to previously designed architectures. One of the key advantages of the proposed architecture is that no multiplexer and multiplier circuits are required for the further processing. The proposed architecture consumes less area and is relatively fast compared to previously designed architectures.

引用

页码：249 / 255

页数：7

共 8 条

[1]

Aggarwal, 2015, P COMP COMM CONTR IC, P1

[2] A COMPARISON OF THE NOISE SENSITIVITY OF 9 QRS DETECTION ALGORITHMS [J].