Detection of electrocardiogram atrial fibrillation using modified multifractal detrended fluctuation analysis based on discrete transforms and fractional Fourier transform

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Publié dans:	SN Applied Sciences vol. 7, no. 11 (Nov 2025), p. 1366
Auteur principal:	Azmy, Mohamed Moustafa
Publié:	Springer Nature B.V.
Sujets:	Feature extraction Electrocardiography Classification Wavelet transforms Optimization techniques Cardiovascular diseases Lung diseases Machine learning Discrete cosine transform Fourier transforms Principal components analysis Fibrillation Optimization Artificial intelligence Methods Simulated annealing Ultrasonic imaging Coronary artery disease Accuracy Deep learning Heart diseases Trigonometric functions Sinuses EKG Doppler effect Cardiac arrhythmia Support vector machines Neural networks Congestive heart failure Cardiovascular disease Literature reviews Heart Parameters Social Environmental
Accès en ligne:	Citation/Abstract Full Text Full Text - PDF
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