Name
Abstract | ||
|---|---|---|
A blind source separation algorithm is successfully applied to extract foetal heartbeat from a set of acoustic data collected from pregnant women. Several different variations of Independent Component Analysis (ICA) algorithms are applied and tested with actual data and it has been observed that ICA based on maximization of cummulants has successfully separated the foetal as well as the mother’s heart beat. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/BMEI.2008.225 | BMEI (2) |
Keywords | Field | DocType |
non-invasive monitoring,actual data,blind source separation algorithm,foetal heartbeat,different variation,independent component analysis,acoustic data,pregnant woman,signal separation,bioacoustics,blind source separation,cardiology,data collection,obstetrics,patient monitoring | Computer vision,Heartbeat,Heart beat,Pattern recognition,Computer science,Remote patient monitoring,Bioacoustics,Artificial intelligence,Independent component analysis,Blind signal separation,Source separation,Signal processing algorithms | Conference |
ISSN | Citations | PageRank |
1948-2914 | 1 | 0.49 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Acharyya | 1 | 1 | 0.49 |
| Neil Scott | 2 | 119 | 9.01 |
| Eberhard Deuss | 3 | 1 | 0.49 |
| Paul D. Teal | 4 | 104 | 13.58 |
| Jurgen Flierl | 5 | 1 | 0.49 |