Conference Paper

Empirical mode decomposition and time varying modelling for carotid audio signal analysis

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Abstract

Auscultation is the acoustic diagnosis of the internal sounds of the body, using a stethoscope. It is performed for examination of the sounds of the circulatory and respiratory systems. Experienced clinicians can hear the flow of blood e.g. in the carotid arteries. We assume that this sound will change over the human life time due to changes inside the vessels. If it is possible to hear the blood flow, it should also be possible to automatically measure changes in the sound of the blood flow. The main problem is that it is necessary to detect dynamical changes at a really long term in a signal that is highly short-term nonstationary. In this work a time-varying (TV) Empirical Mode Decomposition (EMD) analysis was performed to find a trace in the carotid audio signal that is invariable in long-term spaced recordings. EMD has been proposed in the literature as an adaptive time-frequency signal analysis method for dealing with processes involving nonlinear and nonstationary characteristics. Here EMD is used to identify dynamical changes of the carotid blood flow that could be characteristic of each subject through the decomposition of the carotid audio signal in different modes. For that a stethoscope with a microphone were combined with a smartphone for the acquisition of carotid audio signals from five volunteer subjects at different dates in an interval of two months. The recorded signals were first filtered using a wavelet based band-pass filter. The signals were then decomposed using EMD and for some selected modes TV AR models were computed. Finally the TV spectrum and poles were calculated for analysis. Preliminary results show that the TV poles of some modes of the audio signal can be different from subject to subject, and the idea is to further investigate these patterns for patient specific very long-term monitoring.

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