| Paper: | BIO-P1.2 | ||
| Session: | Biomedical Signal Processing I | ||
| Time: | Tuesday, May 16, 10:30 - 12:30 | ||
| Presentation: | Poster | ||
| Topic: | Bio Imaging and Signal Processing: Biomedical signal processing | ||
| Title: | Detection of 3rd Heart Sounds using Recurrence Time Statistics | ||
| Authors: | Christer Ahlström, Peter Hult, Per Ask, Linköping University, Sweden | ||
| Abstract: | The 3rd 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 1st and 2nd 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. | ||
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