Name
Abstract | ||
|---|---|---|
Cardiac auscultation has proven to be an excellent diagnostic tool. Heart sound processing algorithms are not completely robust in the presence of noise, requiring clean segments of heart sounds to extract reliable diagnostic features. This paper presents a new approach to detect transient noises mixed with heart sound. The algorithm explores a single channel source separation algorithm and evaluates the non-stationary separated signals. It has the potential to be applied in real-time. Using a database of heart sounds acquired in real-life scenario, the method showed a sensitivity and a specificity of 93.6% and 92.3%, respectively. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6091486 | 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
heart,physiology,trajectory,sensitivity,real time,noise,noise measurement,feature extraction,cardiovascular system,time frequency analysis | Noise measurement,Computer science,Filter (signal processing),Feature extraction,Electronic engineering,Speech recognition,Time–frequency analysis,Auscultation,Audio signal processing,Source separation,Heart sounds | Conference |
Volume | ISSN | Citations |
2011 | 1557-170X | 2 |
PageRank | References | Authors |
0.39 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J P Ramos | 1 | 2 | 0.39 |
| Paulo Carvalho | 2 | 250 | 47.68 |
| R P Paiva | 3 | 2 | 0.39 |
| Jorge Henriques | 4 | 63 | 13.77 |