Noise-Aware Self-Supervised Denoising for Electrocardiogram Anomaly Detection

Author:

Chen Peng,Deng Miaolei,Zhang Dexian,Zhou Bing,Haoyi Fan

Publisher

Elsevier BV

Reference35 articles.

1. Modified precordial lead ecg safone on electrocardiography recordings;W N Dewi;Scientific Reports,2022

2. An adaptive filtering approach for electrocardiogram (ecg) signal noise reduction using neural networks;S Poungponsri;Neurocomputing,2013

3. Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration timefrequency ecg;J Rahul;Biomedical Signal Processing and Control,2022

4. Detecting ecg abnormalities using an ensemble framework enhanced by bayesian belief network;J Han;Biomedical Signal Processing and Control,2022

5. Automatic diagnosis of cardiovascular disorders by sub images of the ecg signal using multi-feature extraction methods and randomized neural network;� F Ertu?rul;Biomedical Signal Processing and Control,2021

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