Lifting of the 9/7 Wavelet Filter Bank for ECG Signal Analysis Implementation Based on FPGA Target-Reference-Cited by-同舟云学术

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Lifting of the 9/7 Wavelet Filter Bank for ECG Signal Analysis Implementation Based on FPGA Target

Published:2023-04-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
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Author:

Boumehrez Farouk¹,Sahour Abdelhakim²,Maamri Fouzia³,Djellab Hanane¹

Affiliation:

1. ABBES Laghrour University, ABBESLaghrour University,Faculty of Sciences and Technologies, Khenchela Laboratoire Systèmes et Applications des Technologies de L'information et des Télécommunications (SATIT),Department of industrial Engineering,Khenchela

2. ABBES Laghrour University,Faculty of Sciences and Technologies,Department of industrial Engineering,Khenchela

3. Tebessa University,Laboratoire des Télécommunications (LT),Department of Electronics,Guelma,Algeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10149846/10150436/10150801.pdf?arnumber=10150801

Reference12 articles.

1. Automated Diagnosis of Myocardial Infarction ECG Signals Using Sample Entropy in Flexible Analytic Wavelet Transform Framework;kumar;Entropy,2017

2. Neuro-Fuzzy Based Medical Decision Support System for Coronary Artery Disease Diagnosis and Risk Level Prediction

3. Lifting scheme: a new philosophy in biorthogonal wavelet constructions

4. ECG feature extraction and classification of anteroseptal myocardial infarction and normal subjects using discrete wavelet transform

5. A Multi-class ECG Beat Classifier Based on the Truncated KLT Representation

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