A Two-Phase Multilabel ECG Classification Using One-Dimensional Convolutional Neural Network and Modified Labels-Reference-Cited by-同舟云学术

A Two-Phase Multilabel ECG Classification Using One-Dimensional Convolutional Neural Network and Modified Labels

Published:2021-09-13 Issue: Volume: Page:
ISSN:
Container-title:2021 Computing in Cardiology (CinC)
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Author:

Antoni L'ubomir¹,Bruoth Erik¹,Bugata Peter²,Gajdos David²,Horvat Simon¹,Hudak David²,Kmecova Vladimira²,Stana Richard¹,Stankova Monika²,Szabari Alexander¹,Vozarikova Gabriela¹

Affiliation:

1. Pavol Jozef Šafárik University in Košice,Košice,Slovakia

2. VSL Software, a.s.,Košice,Slovakia

Funder

ERDF EU

Slovak Grant Agency for Science (VEGA)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9662654/9662645/09662878.pdf?arnumber=9662878

Reference8 articles.

1. Deep Residual Learning for Image Recognition

2. Approach for ECG Baseline Wander Correction and Noise Reduction;wavelet;IEEE Engineering in Medicine and Biology 27th Annual Conference,2005

3. Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels

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