An ECG classification using DNN classifier with modified pigeon inspired optimizer

Arrhythmia is a form of heart disease in which the regularity of the pulse is changed.ECG data may be analyzed to detect heart-related illnesses or arrhythmias. This paper presents a wrapper feature selection strategy that employs a Pigeon-inspired optimizer(PIO). The modified Pigeon Inspired Optimi...

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Vydáno v:	Multimedia tools and applications Ročník 81; číslo 7; s. 9131 - 9150
Hlavní autoři:	Nainwal, Ashish, Kumar, Yatindra, Jha, Bhola
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.03.2022 Springer Nature B.V
Témata:	1197: Advances in Soft Computing Techniques for Visual Information-based Systems Accuracy Algorithms Arrhythmia Artificial neural networks Classifiers Computer Communication Networks Computer Science Data Structures and Information Theory Feature extraction Feature selection Heart diseases Machine learning Model accuracy Multimedia Information Systems Optimization Signal classification Special Purpose and Application-Based Systems Wavelet transforms Deep neural network Wavelet transform Heartbeat classification PIO
ISSN:	1380-7501, 1573-7721
On-line přístup:	Získat plný text
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