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Paper Details

AF Classification from a Short Single Lead ECG Recording: the PhysioNet/Computing in Cardiology Challenge 2017.
Comput Cardiol (2010)
182
2017
Author NameAffiliation
Gari D CliffordEmory University
Gari D CliffordGeorgia Institute of Technology
Benjamin MoodyInstitute for Medical Engineering & Science, Massachusetts Institute of Technology
Li-Wei H LehmanInstitute for Medical Engineering & Science, Massachusetts Institute of Technology
Ikaro SilvaInstitute for Medical Engineering & Science, Massachusetts Institute of Technology
Alistair E W JohnsonInstitute for Medical Engineering & Science, Massachusetts Institute of Technology
Roger G MarkInstitute for Medical Engineering & Science, Massachusetts Institute of Technology
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Datasets

PhysioNetPhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below. The PhysioNet Resourceâ¿¿s original and ongoing missions were to conduct and catalyze for biomedical research and education, in part by offering free access to large collections of physiological and clinical data and related open-source software. In cooperation with the annual Computing in Cardiology conference, PhysioNet also hosts an annual series of challenges, focusing research on unsolved problems in clinical and basic science. Members of PhysioNetâ¿¿s team are actively involved in innovative work on analysis of physiologic signals, both from basic and translational perspectives.Link
PhysioNetPhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below. The PhysioNet Resourceâ¿¿s original and ongoing missions were to conduct and catalyze for biomedical research and education, in part by offering free access to large collections of physiological and clinical data and related open-source software. In cooperation with the annual Computing in Cardiology conference, PhysioNet also hosts an annual series of challenges, focusing research on unsolved problems in clinical and basic science. Members of PhysioNetâ¿¿s team are actively involved in innovative work on analysis of physiologic signals, both from basic and translational perspectives.Link
PhysioNetPhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below. The PhysioNet Resourceâ¿¿s original and ongoing missions were to conduct and catalyze for biomedical research and education, in part by offering free access to large collections of physiological and clinical data and related open-source software. In cooperation with the annual Computing in Cardiology conference, PhysioNet also hosts an annual series of challenges, focusing research on unsolved problems in clinical and basic science. Members of PhysioNetâ¿¿s team are actively involved in innovative work on analysis of physiologic signals, both from basic and translational perspectives.Link
PhysioNetPhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below. The PhysioNet Resourceâ¿¿s original and ongoing missions were to conduct and catalyze for biomedical research and education, in part by offering free access to large collections of physiological and clinical data and related open-source software. In cooperation with the annual Computing in Cardiology conference, PhysioNet also hosts an annual series of challenges, focusing research on unsolved problems in clinical and basic science. Members of PhysioNetâ¿¿s team are actively involved in innovative work on analysis of physiologic signals, both from basic and translational perspectives.Link
PhysioNetPhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below. The PhysioNet Resourceâ¿¿s original and ongoing missions were to conduct and catalyze for biomedical research and education, in part by offering free access to large collections of physiological and clinical data and related open-source software. In cooperation with the annual Computing in Cardiology conference, PhysioNet also hosts an annual series of challenges, focusing research on unsolved problems in clinical and basic science. Members of PhysioNetâ¿¿s team are actively involved in innovative work on analysis of physiologic signals, both from basic and translational perspectives.Link
PhysioNetPhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below. The PhysioNet Resourceâ¿¿s original and ongoing missions were to conduct and catalyze for biomedical research and education, in part by offering free access to large collections of physiological and clinical data and related open-source software. In cooperation with the annual Computing in Cardiology conference, PhysioNet also hosts an annual series of challenges, focusing research on unsolved problems in clinical and basic science. Members of PhysioNetâ¿¿s team are actively involved in innovative work on analysis of physiologic signals, both from basic and translational perspectives.Link
PhysioNetPhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below. The PhysioNet Resourceâ¿¿s original and ongoing missions were to conduct and catalyze for biomedical research and education, in part by offering free access to large collections of physiological and clinical data and related open-source software. In cooperation with the annual Computing in Cardiology conference, PhysioNet also hosts an annual series of challenges, focusing research on unsolved problems in clinical and basic science. Members of PhysioNetâ¿¿s team are actively involved in innovative work on analysis of physiologic signals, both from basic and translational perspectives.Link
PhysioNetPhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below. The PhysioNet Resourceâ¿¿s original and ongoing missions were to conduct and catalyze for biomedical research and education, in part by offering free access to large collections of physiological and clinical data and related open-source software. In cooperation with the annual Computing in Cardiology conference, PhysioNet also hosts an annual series of challenges, focusing research on unsolved problems in clinical and basic science. Members of PhysioNetâ¿¿s team are actively involved in innovative work on analysis of physiologic signals, both from basic and translational perspectives.Link
PhysioNetPhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below. The PhysioNet Resourceâ¿¿s original and ongoing missions were to conduct and catalyze for biomedical research and education, in part by offering free access to large collections of physiological and clinical data and related open-source software. In cooperation with the annual Computing in Cardiology conference, PhysioNet also hosts an annual series of challenges, focusing research on unsolved problems in clinical and basic science. Members of PhysioNetâ¿¿s team are actively involved in innovative work on analysis of physiologic signals, both from basic and translational perspectives.Link
PhysioNetPhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below. The PhysioNet Resourceâ¿¿s original and ongoing missions were to conduct and catalyze for biomedical research and education, in part by offering free access to large collections of physiological and clinical data and related open-source software. In cooperation with the annual Computing in Cardiology conference, PhysioNet also hosts an annual series of challenges, focusing research on unsolved problems in clinical and basic science. Members of PhysioNetâ¿¿s team are actively involved in innovative work on analysis of physiologic signals, both from basic and translational perspectives.Link
PhysioNetPhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, was established in 1999 under the auspices of the National Institutes of Health (NIH), as described further below. The PhysioNet Resourceâ¿¿s original and ongoing missions were to conduct and catalyze for biomedical research and education, in part by offering free access to large collections of physiological and clinical data and related open-source software. In cooperation with the annual Computing in Cardiology conference, PhysioNet also hosts an annual series of challenges, focusing research on unsolved problems in clinical and basic science. Members of PhysioNetâ¿¿s team are actively involved in innovative work on analysis of physiologic signals, both from basic and translational perspectives.Link