A novel deep wavelet convolutional neural network for actual ECG signal denoising

Author:

Jin Yanrui,Qin Chengjin,Liu Jinlei,Liu Yunqing,Li Zhiyuan,Liu Chengliang

Funder

National Key Research and Development Program of China

China Postdoctoral Science Foundation

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference56 articles.

1. WHOFactSheet. http://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds), 2017.

2. An IoT-cloud Based Wearable ECG Monitoring System for Smart Healthcare;Yang;J. Med. Syst.,2016

3. A hierarchical method for removal of baseline drift from biomedical signals: application in ecg analysis;Luo;Scientific World Journal,2013

4. Filters for the reduction of baseline wander and muscle artifact in the ecg;de Pinto;J. Electrocardiol.,1992

5. Ecg statistics, noise, artifacts, and missing data;Clifford;Advanced Methods and Tools for ECG Data Analysis,2006

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