An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection

• المؤلفون الرئيسيون: Ng, Eddie Yin Kwee, Liu, Feifei, Liu, Chengyu, Zhao, Lina, Zhang, Xiangyu, Wu, Xiaoling, Xu, Xiaoyan, Liu, Yulin, Ma, Caiyun, Wei, Shoushui, He, Zhiqiang, Li, Jianqing
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2019
• الموضوعات: DRNTU::Engineering::Mechanical engineering; Database; Electrocardiogram
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/81375; http://hdl.handle.net/10220/49067

Over the past few decades, methods for classification and detection of rhythm or morphology abnormalities in ECG signals have been widely studied. However, it lacks the comprehensive performance evaluation on an open database. This paper presents a detailed introduction for the database used for the...