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Harmonic Analysis of Arterial Blood Pressure Signal Using Fourier Decomposition for Autonomic Health Assessment

Helen Mary M C, Dilbag Singh, K. K. Deepak

Abstract


Abstract
In the present study, the arterial blood pressure waveform is decomposed utilizing Fourier to examine the fundamental frequency and to build up a linkage for autonomic health assessment. This methodology will produce practically identical fundamental frequency, either utilizing noninvasively recorded photoplethysmogram (PPG) or the blood pressure signal. In order to normalize the both, signal PPG waveform is approximated to arterial blood pressure waveform by nonlinear fitting blood pressure values to pulse amplitude using second order exponential. Further, the harmonic coefficients and fundamental frequencies of arterial blood pressure had been found. The basic fundamental frequency observed for healthy subjects is 1.315±0.002 Hz, hypertension subject is 0.47015±0.021 and hypercholestrolemia subject is 1.562±0.0231 and also a quick decay in the amplitude of harmonic coefficients is observed in healthy subjects as compared with diseased subjects. The observed basic fundamental frequency and amplitude decay of harmonic coefficients using Fourier decomposition helps to understand the autonomic health of a subject.


Keywords: Arterial blood pressure, photoplethysmogram, harmonics, Fourier series

 

Cite this Article
Helen Mary M.C., Dilbag Singh, K.K. Deepak. Harmonic Analysis of Arterial Blood Pressure Signal Using Fourier Decomposition for Autonomic Health Assessment. Current Trends in Signal Processing. 2017; 7(3): 7–14p.


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