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ECG Arrhythmia Measurement and Classification for Portable Monitoring

Globally, cardiovascular disease kills more than 500000 people every year, thus becoming the primary reason for death. Nevertheless, cardiovascular health monitoring is essential for accurate analysis and therapy of heart disease. In this work, a novel deep learning-based StrIppeD NAS-Network (SID-N...

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Principais autores: P Ajitha Gladis K., Ahilan A, Muthukumaran N, Jenifer L
Format: Artigo
Sprog:Inglês
Udgivet: Sciendo 2024-08-01
Serier:Measurement Science Review
Fag:
ecg signal
arrhythmia classification
deep learning
discrete wavelet transform
stripped convolution
dingo optimization algorithm
Online adgang:https://doi.org/10.2478/msr-2024-0017
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