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

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Опубліковано в::	SN Applied Sciences vol. 7, no. 11 (Nov 2025), p. 1366
Автор:	Azmy, Mohamed Moustafa
Опубліковано:	Springer Nature B.V.
Предмети:	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
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