Journal
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS
Volume 8, Issue 7, Pages 1368-1373Publisher
AMER SCIENTIFIC PUBLISHERS
DOI: 10.1166/jmihi.2018.2442
Keywords
Electrocardiogram (ECG); Database; Rhythm and Morphology Abnormal; CPSC
Funding
- National Natural Science Foundation of China [61571113]
- Key Research and Development Programs of Jiangsu Province [BE2017735]
- Shandong Provincial Natural Science Foundation in China [ZR2014EEM003]
- Fundamental Research Funds for the Central Universities in Southeast University [2242018k1G010]
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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.
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