{"url":"/dataset/the-china-physiological-signal-challenge-2018","name":"The China Physiological Signal Challenge 2018","full_name":null,"description_markdown":"The China Physiological Signal Challenge 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.\r\n\r\nSource: [An Open Access Database for Evaluating the Algorithms of Electrocardiogram Rhythm and Morphology Abnormality Detection](/paper/an-open-access-database-for-evaluating-the)","description_withheld":null,"homepage":"http://2018.icbeb.org/Challenge.html","introduced_date":"2018-09-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/an-open-access-database-for-evaluating-the","title":"An Open Access Database for Evaluating the Algorithms of Electrocardiogram Rhythm and Morphology Abnormality Detection","first_author":"Feifei Liu","url":null},"license":null,"modalities":[],"tasks":[{"name":"Arrhythmia Detection","url":"/task/arrhythmia-detection","datasets_with_task":"/datasets/task/arrhythmia-detection"}],"languages":[],"variants":["The China Physiological Signal Challenge 2018"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/arrhythmia-detection-on-the-china-1","task":"Arrhythmia Detection","dataset_variant":"The China Physiological Signal Challenge 2018","rows":1,"metrics":["F1 (Hidden Test Set)"],"first_row_in_archive_order":{"model":"CNN+RNN","paper":"/paper/detection-and-classification-of-cardiac","metrics":{"F1 (Hidden Test Set)":"0.837"},"code_links":[{"title":"ChihHanHuang/The-China-Physiological-Signal-Challenge-2018-champion","url":"https://github.com/ChihHanHuang/The-China-Physiological-Signal-Challenge-2018-champion"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/detection-and-classification-of-cardiac","title":"Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model","date":"2020-02-04","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}