Low-complexity lossless multichannel ECG compression based on selective linear prediction-Reference-Cited by-同舟云学术

Low-complexity lossless multichannel ECG compression based on selective linear prediction

Published:2020-03 Issue: Volume:57 Page:101705
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Rzepka Dominik

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference27 articles.

1. Global, regional, and national burden of cardiovascular diseases for 10 causes, 1990 to 2015;Roth;Journal of the American College of Cardiology,2017

2. Implementation of a portable device for real-time ECG signal analysis;Jeon;Biomedical engineering online,2014

3. Design and implementation of a simple portable biomedical electronic device to diagnose cardiac arrhythmias;Azucena;Sensing and Bio-Sensing Research,2015

4. A joint QRS detection and data compression scheme for wearable sensors;Deepu;IEEE Trans. Biomed. Engineering,2015

5. Improving remote health monitoring: A low-complexity ECG compression approach;Elgendi;Diagnostics,2018

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