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Title: An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection
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
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2018
Source: Liu, F., Liu, C., Zhao, L., Zhang, X., Wu, X., Xu, X., . . . Ng, E. Y. K. (2018). An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection. Journal of Medical Imaging and Health Informatics, 8(7), 1368-1373. doi:10.1166/jmihi.2018.2442
Series/Report no.: Journal of Medical Imaging and Health Informatics
Abstract: 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 1st China Physiological Signal Challenge 2018 (CPSC 2018), which will be run as a special section during the ICBEB 2018. CPSC 2018 aims to encourage the development of algorithms to identify the rhythm/morphology abnormalities from 12-lead ECGs. The data used in CPSC 2018 include one normal ECG type and eight abnormal types. This paper details the data source, recording information, patients' clinical baseline parameters as age, gender and so on. Meanwhile, it also presents the commonly used detection/classification methods for the abovementioned abnormal ECG types. We hope this paper could be a guide reference for the CPSC 2018, to facilitate the researchers familiar with the data and the related research advances.
ISSN: 2156-7018
DOI: 10.1166/jmihi.2018.2442
Rights: © 2018 American Scientific Publishers. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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