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Heart sound segmentation algorithm based on heart sound envelogram
Abstract
Desribes the development of a segmentation algorithm which separates the heart sound signal into four parts: the first heart sound, the systole, the second heart sound and the diastole. The segmentation of phonocardiogram (PCG) signals is the first step of analysis and the most important procedure in the automatic diagnosis of heart sounds. This algorithm is based on the normalized average Shannon energy of a PCG signal. The performance of the algorithm has been evaluated using 515 periods of PCG signals recording from 37 objects including normal and abnormal. The algorithm has achieved a 93 percent correct ratio.
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Non-Contact Vital Signs Monitoring of Dog and Cat Using a UWB Radar
Wang, P., Ma, Y., Liang, F., Zhang, Y., Yu, X., Li, Z., An, Q., Lv, H., & Wang, J. (2020) · Animals · doi:10.3390/ani10020205 · Cited by 45
Algorithm for heart rate extraction in a novel wearable acoustic sensor
Chen, G., Imtiaz, S. A., Aguilar–Pelaez, E., & Rodriguez–Villegas, E. (2015) · Healthcare Technology Letters · doi:10.1049/htl.2014.0095 · Cited by 27
Metadata
- Authors
- Liang, H., Lukkarinen, S., & Hartimo, I.
- Venue
- Computers in Cardiology 1997
- Publisher
- IEEE
- Published
- 2002-11-23
- Pages
- 105-108
- ISSN
- 0276-6574 (ISSN-L)
- OpenAlex
- W1751223533
- Cited by
- 414
- References
- 0
- FWCI
- 36.80
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Liang, H., Lukkarinen, S., & Hartimo, I. (2002). Heart sound segmentation algorithm based on heart sound envelogram. Computers in Cardiology 1997. https://doi.org/10.1109/cic.1997.647841
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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