Otsu's threshold selection method applied in de-noising heart sound of the digital stethoscope record

Chen, Haoyu and Gururajan, Raj (2012) Otsu's threshold selection method applied in de-noising heart sound of the digital stethoscope record. In: 2nd International Conference of Electrical and Electronics Engineering (ICEEE 2011) , 1-2 Dec 2011, Macau, China.

Abstract

In this paper, an automatic threshold selection for de-noising is presented. The heart sound extracted through an electronic stethoscope is transformed into frequency domain by Fast Fourier Transformation, and then the threshold selection is applied to it, so that unwanted noises can be separated from a combined set of noises. The noise was analysed by applying a random but suitable threshold point, the unwanted noise was eliminated and the sound was reconstructed. The preliminary results indicate that the technique applied is effective in that the reconstructed noise appears to be providing a better quality of heart noise.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2012 Springer-Verlag Berlin Heidelberg. Series details: Lecture Notes in Electrical Engineering vol. 136 Permanent restricted access to published version in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Business and Law - School of Information Systems
Date Deposited: 14 Oct 2014 06:43
Last Modified: 23 Jun 2017 01:50
Uncontrolled Keywords: heart sound signal; threshold function; de-noising
Fields of Research : 09 Engineering > 0903 Biomedical Engineering > 090304 Medical Devices
09 Engineering > 0913 Mechanical Engineering > 091301 Acoustics and Noise Control (excl. Architectural Acoustics)
11 Medical and Health Sciences > 1102 Cardiovascular Medicine and Haematology > 110201 Cardiology (incl. Cardiovascular Diseases)
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
Identification Number or DOI: 10.1007/978-3-642-26001-8_31
URI: http://eprints.usq.edu.au/id/eprint/21502

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