Title :
Using an uncertainty measure in a fuzzy QRS detector
Author :
Boston, J.R. ; Akyo, Guzide
Author_Institution :
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
Abstract :
A QRS detection system was developed that uses fuzzy logic to combine the outputs of two QRS detector algorithms. The fuzzy detector can conclude that a QRS is present, that a QRS is not present, or that no decision can be made. Results obtained on ECG waveforms with added simulated noise are presented, and improvements provided by further analysis of the uncertain time points are demonstrated
Keywords :
electrocardiography; fuzzy logic; medical signal detection; medical signal processing; ECG analysis; QRS detector algorithms; added simulated noise; compensatory operators; electrodiagnostics; evidence combination; fuzzy QRS detector; fuzzy aggregation; uncertain time points; uncertainty measure; Detection algorithms; Detectors; Electrocardiography; Electromyography; Fuzzy logic; Heart rate; History; Measurement uncertainty; Noise generators; Testing;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804070
