Title :
Recognition of T waves in ECG signals
Author :
Elgendi, Mohamed ; Jonkman, Mirjam ; De Boer, Friso
Abstract :
The method described in this paper deals with the problems of T-wave detection in ECG signals. Determining the position of a T-wave can be complicated, due to the ambiguous and changing form of the complex and the presence of noise. We developed a method to detect T-waves in noisy signals. The performance of the proposed method was tested on 33 records of the MIT/BIH arrhythmia database resulting in 0.48% incorrectly detected T waves.
Keywords :
diseases; electrocardiography; feature extraction; medical signal detection; medical signal processing; ECG signal recognition; MIT-BIH arrhythmia database; T-wave detection; feature extraction; signal preprocessing; Detection algorithms; Electrocardiography; Feature extraction; Heart beat; Heart rate variability; Information technology; Morphology; Sampling methods; Spatial databases; Testing;
Conference_Titel :
Bioengineering Conference, 2009 IEEE 35th Annual Northeast
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4362-8
Electronic_ISBN :
978-1-4244-4364-2
DOI :
10.1109/NEBC.2009.4967754
