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

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

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...

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Bibliographic Details
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: Journal 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

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