Abstract
Evaluation of sensory data in biomedical applications is key to decision-making in diagnosing diseases, device control, and signal processing algorithms. One such process is the pulse evaluation, where descriptive features of a pulse, such as shape, height, and width can be used for analysis. In this paper, we develop a pulse qualifier based on fuzzy concepts. This pulse qualifier is specifically designed to serve multifunctional properties for the oscillometry, where pulse identification, elimination and evaluation can be very important. Quality assessment may be critical in both real-time for instance for the execution of a device, control algorithm etc. and for offline algorithms, for example classification of systolic, mean and diastolic blood pressure profiles. A large real pulse database will be used to develop and test the pulse qualifier.
Original language | English (US) |
---|---|
Pages | 850-853 |
Number of pages | 4 |
DOIs | |
State | Published - 2004 |
Event | NAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies - Banff, Alta, Canada Duration: Jun 27 2004 → Jun 30 2004 |
Other
Other | NAFIPS 2004 - Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies |
---|---|
Country/Territory | Canada |
City | Banff, Alta |
Period | 6/27/04 → 6/30/04 |
ASJC Scopus subject areas
- General Computer Science
- General Mathematics