Noise Detection During Heart Sound Recording

Authors

Abstract

Heart sound is a valuable biosignal for early
detection of a large set of cardiac diseases. Ambient and
physiological noise interference is one of the most usual and
high probable incidents during heart sound acquisition. It
may change the prominent and crucial characteristics of heart
sound which may possess important information for heart
disease diagnosis. In this paper, we propose a new method
to detect ambient and internal body noises in heart sounds.
The algorithm utilizes physiologically inspired periodicity/semi-
periodicity criteria. A small segment of clean heart sound
exhibiting periodicity in the time and in the frequency domain is
first detected. The sound segment is used as a template to detect
uncontaminated heart sounds during recording. The technique
has been tested on the heart sounds contaminated with several
types of noises, recorded from 68 different subjects. Average
sensitivity of 95.13% and specificity of 98.65% for non-cardiac
sound detection were achieved.

Conference

EEE EMBS, September 2009