Detrended fluctuation analysis of cardiological signals

Authors

Harry Gwynn Omar Fernan ⋅ PH National Institute of Physics, University of the Philippines Diliman
Henry Lee ⋅ PH National Institute of Physics, University of the Philippines Diliman
April M. Ulano ⋅ PH National Institute of Physics, University of the Philippines Diliman
Carlo Mar Blanca ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

In this study, we utilize detrended fluctuation analysis (DFA) to discriminate normal from diseased heart readings. This is achieved by deriving the DFA scaling parameter α from the cardiac temporal series and relating its value to certain heart ailments. Results show that normal patients with no heart conditions exhibit a linear DFA plot with α=1, while those with heart ailments vary according to the type of cardiac condition. Because DFA analysis segments the time series into varying temporal windows, it is sensitive to non-periodic symptomatic abnormalities that occur infrequently. Our investigations reveal the existence of cross-over points where heart dynamics associated with arterial fibrillation changes after a specific time interval. This multi-fractal phenomenon cannot be seen with regular Fourier transform analysis.

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Issue

2007: Proceedings of the 25th Samahang Pisika ng Pilipinas Physics Congress

Article ID

SPP-2007-PA-19

Section

Poster Session PA

Published

2007-10-24

How to Cite

[1]

HGO Fernan, H Lee, AM Ulano, and CM Blanca, Detrended fluctuation analysis of cardiological signals, Proceedings of the Samahang Pisika ng Pilipinas 25, SPP-2007-PA-19 (2007). URL: https://proceedings.spp-online.org/article/view/SPP-2007-PA-19.