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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Veröffentlicht in:	Multimedia tools and applications Jg. 81; H. 7; S. 9131 - 9150
Hauptverfasser:	Nainwal, Ashish, Kumar, Yatindra, Jha, Bhola
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2022 Springer Nature B.V
Schlagworte:	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
Online-Zugang:	Volltext
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