Modulation Filtering for Noise Detection in Heart Sound Signals

Authors

Abstract

Cardiac auscultation has proven to be an excellent
diagnostic tool. Heart sound processing algorithms are not
completely robust in the presence of noise, requiring clean
segments of heart sounds to extract reliable diagnostic features.
This paper presents a new approach to detect transient noises
mixed with heart sound. The algorithm explores a single
channel source separation algorithm and evaluates the nonstationary
separated signals. It has the potential to be applied
in real-time. Using a database of heart sounds acquired in reallife
scenario, the method showed a sensitivity and a specificity
of 93.6% and 92.3%, respectively.

Keywords

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Subject

medical informatics

Related Project

SoundForLife

Conference

Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2011, Boston, USA., January 2011

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