Electrocardiogram Feature Extraction and Pattern Recognition Using a Novel Windowing Algorithm  

作　　者：Muhammad Umer Bilal Ahmed Bhatti Muhammad Hammad Tariq Muhammad Zia-ul-Hassan Muhammad Yaqub Khan Tahir Zaidi 

机构地区：[1]Center for Advanced Research in Engineering (CARE), Islamabad, Pakistan

出　　处：《Advances in Bioscience and Biotechnology》2014年第11期886-894,共9页生命科学与技术进展（英文）

摘　　要：This paper presents a Novel Windowing Algorithm for Electrocardiogram Feature Extraction and Pattern Recognition. The work presented here deals with a simple and efficient way of detecting ECG features that are P, Q, R, S and T waves. Windowing method is used to select these waves. Windows are based on varying R-R intervals. It has been tested on ECG simulator data and also on different records of the MIT-BIH arrhythmia database, producing satisfactory results. ECG timing intervals are also required for monitoring the cardiac condition of patients. Hence after feature detections ECG timing intervals like the PR interval, QRS duration, the QT interval, the QT corrected interval and Vent Rate are efficiently calculated using proposed Formulae.This paper presents a Novel Windowing Algorithm for Electrocardiogram Feature Extraction and Pattern Recognition. The work presented here deals with a simple and efficient way of detecting ECG features that are P, Q, R, S and T waves. Windowing method is used to select these waves. Windows are based on varying R-R intervals. It has been tested on ECG simulator data and also on different records of the MIT-BIH arrhythmia database, producing satisfactory results. ECG timing intervals are also required for monitoring the cardiac condition of patients. Hence after feature detections ECG timing intervals like the PR interval, QRS duration, the QT interval, the QT corrected interval and Vent Rate are efficiently calculated using proposed Formulae.

关 键 词：ELECTROCARDIOGRAM PLI WINDOWING ARRHYTHMIA INTERVALS CARDIAC PQRST 

分 类 号：R5[医药卫生—内科学]