Title :
Recognition of P and T waves in electrocardiograms using fuzzy theory
Author :
Mehta, S.S. ; Saxena, S.C. ; Verma, H.K.
Author_Institution :
Dept. of Electr. Eng., Roorkee Univ., India
Abstract :
This paper presents a fuzzy theory based pattern recognition technique for the correct identification of P and T waves. The candidate P or T waves are selected from the background of noisy peaks. The fuzzy membership of each peak is calculated using their average peak-to-peak amplitude, total energy and incremental energy. The method has a success rate of about 94%
Keywords :
electrocardiography; fuzzy logic; medical signal processing; pattern recognition; P waves; T waves; algorithm; automated computer aided ECG analysis; average peak-to-peak amplitude; dextrocardia; electrodiagnostics; fuzzy membership; fuzzy theory based pattern recognition technique; important diagnostic information; incremental energy; noisy peaks background; total energy; Background noise; Electrocardiography; Equations; Flowcharts; Pattern recognition; Threshold voltage;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE
Conference_Location :
New Delhi
Print_ISBN :
0-7803-2711-X
DOI :
10.1109/RCEMBS.1995.511733
