Detection of R-peaks using fractional Fourier transform and principal component analysis

• Published in: Journal of ambient intelligence and humanized computing Vol. 13; no. 2; pp. 961 - 972
• Main Authors: Gupta, Varun, Mittal, Monika, Mittal, Vikas, Chaturvedi, Yatender
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2022; Springer Nature B.V
• Subjects: Algorithms; Amplitudes; Artificial Intelligence; Casualties; Computational Intelligence; Datasets; Electrocardiography; Engineering; Fourier transforms; Heart; Morphology; Noise; Original Research; Physiology; Principal components analysis; Robotics and Automation; S waves; Signal processing; Support vector machines; User Interfaces and Human Computer Interaction; Wavelet transforms; Electrocardiogram (ECG); Fractional Fourier transform (FrFT); MIT-BIH Arrhythmia database (M/B Ar DB); Principal component analysis (PCA)

An electrocardiogram (ECG) is world’s most recognized, widely accepted and essential primitive diagnostic tool to assess health status of heart of a subject (patient) by analyzing its constituent P, QRS and T waves. QRS wave is further consists of three waves namely; Q-wave, R-wave, and S-wave, wher...