Title :
P wave demarcation in electrocardiogram
Author :
Elgendi, Mohamed ; Jonkman, Mirjam ; De Boer, Friso
Author_Institution :
Sch. of Eng. & Inf. Technol., Charles Darwin Univ., Darwin, NT
Abstract :
Efficient and effective feature extraction algorithms are required in the analysis of long records electrocardiographic (ECG) signals. In this paper a computationally efficient method is proposed as a feature extractor for P waves in ECG signals. The performance of the proposed algorithm was tested on 29 records of the MIT/BIH Arrhythmia Database resulting in 0.72% incorrectly detected P waves.
Keywords :
biology computing; diseases; electrocardiography; feature extraction; medical signal processing; ECG signals; MIT-BIH arrhythmia database; computationally efficient method; electrocardiogram; feature extraction algorithms; p-wave demarcation; Databases; Detection algorithms; Electrocardiography; Feature extraction; Frequency; Heart rate variability; Information technology; Morphology; Sampling methods; 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.2009.4967755
