Name
Abstract | ||
|---|---|---|
This paper reports on a study of applying an HMM-based labeler along with a tailored feature extraction to Korotkoff sounds. These sounds can be heard through a stethoscope during the auscultatory blood pressure measurement usually done at medical practices. While this method works well when the patient is at rest, interfering noise from muscles and joints cause major problems when the subject is doing any activities like sports or fitness exercises. We propose a signal processing and classification method to overcome these difficulties and present first promising results. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICASSP.2007.366702 | Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference |
Keywords | Field | DocType |
biomedical equipment,blood pressure measurement,feature extraction,hidden Markov models,medical signal processing,signal classification,HMM-based labeler,Korotkoff sounds,auscultatory blood pressure measurement,feature extraction,fitness exercises,medical practices,signal classification method,signal processing,sports,stethoscope,Bioengineering,Biomedical signal processing,HMM,Korotkoff sounds | Signal processing,Stethoscope,Pattern recognition,Computer science,Biomedical equipment,Speech recognition,Feature extraction,Korotkoff sounds,Blood pressure,Signal classification,Artificial intelligence,Hidden Markov model | Conference |
Volume | ISSN | ISBN |
1 | 1520-6149 | 1-4244-0727-3 |
Citations | PageRank | References |
4 | 0.64 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias Wolff | 1 | 68 | 14.17 |
| Kordon, U. | 2 | 4 | 0.64 |
| Husssein, H. | 3 | 4 | 0.64 |
| Eichner, M. | 4 | 4 | 0.64 |