Detection and identification of first and second heart sounds using empirical mode decomposition
| Autor: | Kourosh Bajelani, John D Doyle, Kamran Hassani, Hamid Behnam, Mahdi Navidbakhsh |
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| Rok vydání: | 2013 |
| Předmět: |
Adult
Male Sound Spectrography Adolescent Computer science Speech recognition Diastole Sensitivity and Specificity Hilbert–Huang transform Pattern Recognition Automated Young Adult medicine Humans Segmentation Time domain Diagnosis Computer-Assisted Child medicine.diagnostic_test Heart Murmurs Mechanical Engineering Infant Reproducibility of Results General Medicine Auscultation Intensity (physics) Heart Sounds Heart sounds Child Preschool Female Sensitivity (electronics) Algorithms Heart Auscultation |
| Zdroj: | Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine. 227(9) |
| ISSN: | 2041-3033 |
| Popis: | We present a novel, low complexity method for the detection of the first and second of heart sounds (S1 and S2, respectively) and the periods of systole and diastole without using an electrocardiogram reference. The algorithm uses a technique called empirical mode decomposition to produce intensity envelopes of the main heart sounds in the time domain. The performance of the algorithm was evaluated using 14,000 cardiac periods from 100 normal and abnormal digital phonocardiographic recordings. The sensitivity of the detection method was 88.3% for both S1 and S2, and the precision (positive predictive value) was 95.8% for both S1 and S2. |
| Databáze: | OpenAIRE |
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