Title :
Entropy measure of fuzziness in detection of QRS complex in noisy ECG signal
Author :
Czogala, Ernest ; Leski, Jacek ; Rozentryt, Piotr ; Zembala, Marian
Author_Institution :
Tech. Univ. Silesia, Gliwice, Poland
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
Keywords :
electrocardiography; entropy; fuzzy set theory; medical signal processing; noise; signal detection; QRS complex; digital processing; entropy measure; fuzziness; fuzzy signal; noisy ECG signals; Computer vision; Electrocardiography; Entropy; Fuzzy set theory; Heart rate variability; Maximum likelihood detection; Signal detection; Signal processing; Time measurement; Uncertainty;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.622821