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

• Main Authors: 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
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Mechanical engineering; Database; Electrocardiogram
• Online Access: https://hdl.handle.net/10356/81375; http://hdl.handle.net/10220/49067
• Institution: Nanyang Technological University

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...