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http://dx.doi.org/10.6109/jkiice.2016.20.8.1587

P Wave Detection Algorithm through Adaptive Threshold and QRS Peak Variability  

Cho, Ik-sung (Department of Information and Communication Engineering, Kyungwoon University)
Kim, Joo-Man (Department of IT Engineering, Pusan National University)
Lee, Wan-Jik (Department of IT Engineering, Pusan National University)
Kwon, Hyeog-soong (Department of IT Engineering, Pusan National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.8, 2016 , pp. 1587-1595 More about this Journal
Abstract
P wave is cardiac parameters that represent the electrical and physiological characteristics, it is very important to diagnose atrial arrhythmia. However, It is very difficult to detect because of the small size compared to R wave and the various morphology. Several methods for detecting P wave has been proposed, such as frequency analysis and non-linear approach. However, in the case of conduction abnormality such as AV block or atrial arrhythmia, detection accuracy is at the lower level. We propose P wave detection algorithm through adaptive threshold and QRS peak variability. For this purpose, we detected Q, R, S wave from noise-free ECG signal through the preprocessing method. And then we classified three pattern of P wave by peak variability and detected adaptive window and threshold. The performance of P wave detection is evaluated by using 48 record of MIT-BIH arrhythmia database. The achieved scores indicate the average detection rate of 92.60%.
Keywords
P wave; Atrial arrhythmia; ECG pattern; QRS peak variability; Adaptive threshold;
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