A sub-band energy tracking algorithm for heart sound segmentation

Author

Haghighi-Mood, A. ; Torry, J.N.

Author_Institution

Sch. of Eng., Sussex Univ., Brighton, UK

fYear

1995

fDate

10-13 Sept. 1995

Firstpage

501

Lastpage

504

Abstract

The objective of this paper is to present an algorithm for automatic segmentation of the heart sound. The algorithm utilises an autoregressive (AR) model to estimate the power spectral density (PSD) of the signal as well as the energy in certain frequency bands for consecutive overlapping frames. The starting and end points of each event are then calculated by filtering the tracking level using a morphological transform and estimating the boundary of its dominant peaks. The algorithm was tested for 960 cycles of heart sound recorded front all four popular auscaltatory areas of 30 patients. Results indicate the capability of this algorithm to isolate desired events in subjects with various pathological conditions.

Keywords

acoustic signal processing; bioacoustics; cardiology; data acquisition; mathematical morphology; medical signal processing; patient diagnosis; spectral analysis; auscaltatory areas; automatic segmentation; autoregressive model; consecutive overlapping frames; filtering; frequency bands; heart sound segmentation; morphological transform; pathological conditions; power spectral density; sub-band energy tracking algorithm; tracking level; Acoustic noise; Background noise; Cardiac disease; Electrocardiography; Filtering; Frequency domain analysis; Frequency estimation; Heart; Pathology; Timing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1995

Conference_Location

Vienna, Austria

Print_ISBN

0-7803-3053-6

Type

conf

DOI

10.1109/CIC.1995.482711

Filename

482711