A time-frequency approach for the analysis of normal and arrhythmia cardiac signals.
Previously, electrocardiogram (ECG) signals have been analyzed in either a time-indexed or spectral form. The reality, is that the ECG and all other biological signals belong to the family of multicomponent nonstationary signals. Due to this reason, the use of time-frequency analysis can be unavoidable for these signals. The Husimi and Wigner distributions are normally used in quantum mechanics for phase space representations of the wavefunction. In this paper, we introduce the Husimi distribution (HD) to analyze the normal and abnormal ECG signals in time-frequency domain. The abnormal cardiac signal was taken from a patient with supraventricular arrhythmia. Simulation results show that the HD has a good performance in the analysis of the ECG signals comparing with the Wigner-Ville distribution (WVD).
Mahmoud
Seedahmed S
SS
School of Electrical and Computer Engineering, RMIT University, Melbourne, Victoria 3000, Australia. mahmoud.seedahmed@rmit.edu.au
Fang
Qiang
Q
Davidović
Dragomir M
DM
Cosic
Irena
I
D001145:Arrhythmias, Cardiac / Q000503:physiopathology*; D004562:Electrocardiography / Q000379:methods; D006801:Humans; D011789:Quantum Theory; D012815:Signal Processing, Computer-Assisted