Noise Detection During Heart Sound Recording



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.


EEE EMBS, September 2009

Cited by

Year 2011 : 2 citations

 Maria Markaki, "Selection of Relevant Features for Audio Classification tasks", PhD Thesis, Pages 145.

 • Sumeth Yuenyong, Akinori Nishihara, Waree Kongprawechnon, Kanokvate Tungpimolrut, A framework for automatic heart sound analysis without segmentation, BioMedical Engineering OnLine 2011, 10:13, 2011.

Year 2010 : 1 citations

 • Pretorius, E.; Cronje, M.L.; Strydom, O.; Development of a pediatric cardiac computer aided auscultation decision support system, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6078 – 6082, 2010.