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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings - The 4th China Physiological Signal Challenge 2021

Authors: Bischoff, Francisco;

Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings - The 4th China Physiological Signal Challenge 2021

Abstract

This dataset is part of the available dataset for Paroxysmal Atrial Fibrillation Events Detection from Dynamic ECG Recordings: The 4th China Physiological Signal Challenge 2021, available at https://physionet.org/static/published-projects/cpsc2021/paroxysmal-atrial-fibrillation-events-detection-from-dynamic-ecg-recordings-the-4th-china-physiological-signal-challenge-2021-1.0.0.zip (last accessed today 2022-07-22). The dataset is licensed under Creative Commons Attribution 4.0 International Public License: Permissions: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Conditions: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Limitations: No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. For more information about the license, check: https://creativecommons.org/licenses/by/4.0/ The following modifications were made: Only the training and test set folders are used Only the files *.hea, *.dat and *.atr are used, being the *.dat and *.atr converted to CSV and compressed in .bz2 format Added the LICENSE.txt file as required.

This dataset is used on this Ph.D. thesis: https://franzbischoff.github.io/false.alarm/

Keywords

physionet, cardiology, atrial fibrillation, arrhythmia

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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