Detection of the 3(rd) heart sound using recurrence time statistics
2006 (English)In: 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13, 2006, Vol. 1-13, 2288-2291 p.Conference paper (Refereed)
The 3(rd) heart sound (S3) is normally heard during auscultation of younger individuals, but it is also common in many patients with heart failure. Compared to the 1(st) and 2(nd) heart sounds, S3 has low amplitude and low frequency content, making it hard to detect (both manually for the physician and automatically by a detection algorithm). We present an algorithm based on a recurrence time statistic which is sensitive to changes in a reconstructed state space, particularly for detection of transitions with very low energy. Heart sound signals from ten children were used in this study. Most S3 occurrences were detected (98%), but the amount of false extra detections was rather high (7% of the heart cycles). In conclusion, the method seems capable of detecting S3 with high accuracy and robustness.
Place, publisher, year, edition, pages
2006. Vol. 1-13, 2288-2291 p.
, International Conference on Acoustics Speech and Signal Processing (ICASSP), ISSN 1520-6149
TAILORED WAVELET APPROACH
Medical Laboratory and Measurements Technologies
IdentifiersURN: urn:nbn:se:liu:diva-116927ISBN: 978-1-4244-0468-1OAI: oai:DiVA.org:liu-116927DiVA: diva2:801614
31st IEEE International Conference on Acoustics, Speech and Signal Processing
31st IEEE International Conference on Acoustics, Speech and Signal Processing, Toulouse, FRANCE, MAY 14-19, 20062015-04-092015-04-092015-04-20