Classification of ECG signal using FFT based improved Alexnet classifier

Electrocardiograms (ECG) are extensively used for the diagnosis of cardiac arrhythmias. This paper investigates the use of machine learning classification algorithms for ECG analysis and arrhythmia detection. This is a crucial component of a conventional electronic health system, and it frequently n...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PloS one 2022-09, Vol.17 (9), p.e0274225-e0274225
Hauptverfasser:	Kumar M., Arun, Chakrapani, Arvind
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Arrhythmia Artificial neural networks Biology and Life Sciences Cardiovascular disease Cardiovascular diseases Care and treatment Classification Classifiers Computer and Information Sciences Data analysis Data processing Data storage Deep learning Diagnosis EKG Electrocardiogram Electrocardiography Engineering and Technology Fast Fourier transformations Feature extraction Fourier transforms Health aspects Machine learning Medical research Medicine and Health Sciences Methods Neural networks Physical Sciences Research and Analysis Methods Signal classification Signal processing Visual signals
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!