A Survey of Augmentation Techniques for Enhancing ECG Representation through Self-Supervised Contrastive Learning is a research paper published in Computing in cardiology (2024). On theSindex it has a DataRank of 0.
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NIGMS NIH HHS
Grant: P41 GM103545
NIBIB NIH HHS
Grant: U24 EB029012
NHLBI NIH HHS
Grant: R21 HL172288
NIGMS NIH HHS
Grant: R24 GM136986
NHLBI NIH HHS
Grant: T32 HL007576
National Institutes of Health
Grant: 5P41GM103545-20
Center for Integrative Biomedical Computing
National Institutes of Health
Grant: 5U24EB029012-02
Integration of Uncertainty Quantification with SCIRun Bioelectric Field Simulation Pipeline
National Institutes of Health
Grant: 5T32HL007576-23
Training in Cardiovascular Research
National Institutes of Health
Grant: 5R21HL172288-02
Overcoming explainability and data availability barriers to broad application of ECG ML screening with a system-wide ECG dataset
National Institutes of Health
Grant: 1R24GM136986-01
Center for Integrative Biomedical Computing Legacy Transition
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