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 

作者机构：Center for Advanced Research in Engineering (CARE) Islamabad Pakistan 

出 版 物：《Advances in Bioscience and Biotechnology》 (生命科学与技术进展（英文）)

年 卷 期：2014年第5卷第11期

页      面：886-894页

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

主　　题：Electrocardiogram PLI Windowing Arrhythmia Intervals Cardiac PQRST 

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.