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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Bibliographic Details
Published in:	Measurement science review Vol. 24; no. 4; pp. 118 - 128
Main Authors:	P Ajitha Gladis, K., Ahilan, A, Muthukumaran, N, Jenifer, L
Format:	Journal Article
Language:	English
Published:	Bratislava Sciendo 01.08.2024 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Subjects:	Abnormalities Accuracy Algorithms Arrhythmia arrhythmia classification Cardiac arrhythmia Classification Cluster analysis Clustering Deep learning Dingo optimization algorithm Discrete Wavelet Transform ECG signal Electrocardiography Fractal geometry Heart diseases Machine learning Parameter identification stripped convolution Telemedicine Vector quantization Waveforms Wavelet transforms
ISSN:	1335-8871, 1335-8871
Online Access:	Get full text
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