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 tends to 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 combined with heart sound. The algorithm is based upon the periodic nature of heart sounds and physiologically inspired criteria. A small segment of clean heart sound exhibiting periodicity in time as well as in the frequency domain is first detected and applied as a reference signal in sorting noise from the sound. The achieved average sensitivity and specificity are 94% and 97%, respectively.
Subject
Biosignal processing; heart sound
Conference
15th European Signal Processing Conference (EUSIPCO-2007), September 2007
Cited by
Year 2012 : 2 citations
Mandal, D. , Chattopadhyay, M. ; Mishra, I. Saha , "A low cost non-invasive digital signal processor based (TMS320C6713) heart diagnosis system ", International Conference on Recent Advances in Information Technology (RAIT), 2012 .
Mandal, D. Mishra, I. Saha, "An Innovative DSP Processor Based Heart Activity Detection System", Int. J. of Advanced Computer Engineering & Architecture, 2(2), 2012, 331-340
Year 2010 : 1 citations
• Basak, K.; Mandal, S.; Manjunatha, M.; Chatterjee, J.; Ray, A.K.; Phonocardiogram signal analysis using adaptive line enhancer methods on Mixed Signal Processor, International Conference on Signal Processing and Communications (SPCOM), 1-5, 2010
