학술논문

Entropy measure of fuzziness in detection of QRS complex in noisy ECG signal
Document Type
Conference
Source
Proceedings of 6th International Fuzzy Systems Conference Fuzzy systems Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on. 2:853-856 vol.2 1997
Subject
Computing and Processing
Entropy
Electrocardiography
Time measurement
Signal detection
Signal processing
Fuzzy set theory
Maximum likelihood detection
Computer vision
Heart rate variability
Uncertainty
Language
Abstract
The paper deals with the application of entropy measures of fuzziness to building a detection function of ECG signals. After formulation of the problem the notion of entropy measure of fuzziness is recalled. Next the idea of a fuzzy signal created from the original signal is proposed. Afterwards entropy measures of fuzziness determined for each sample are calculated. The application of this measure to building a detection function of ECG signals is presented. The theoretical considerations are illustrated with digital processing of the real ECG signal.