Papers › An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and Octave
An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and Octave
Ikaro Silva, George Moody
The WaveForm DataBase (WFDB) Toolbox for MATLAB/Octave enables integrated access to PhysioNet's software and databases. Using the WFDB Toolbox for MATLAB/Octave, users have access to over 50 physiological databases in PhysioNet. The toolbox provides access over 4 TB of biomedical signals including ECG, EEG, EMG, and PLETH. Additionally, most signals are accompanied by metadata such as medical annotations of clinical events: arrhythmias, sleep stages, seizures, hypotensive episodes, etc. Users of this toolbox should easily be able to reproduce, validate, and compare results published based on PhysioNet's software and databases.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Arrhythmia Detection | The PhysioNet Computing in Cardiology Challenge 2017 | Feature-based approach (no segmentation) | Accuracy (TEST-DB) | 79% | #1 of 5 | Archive leaderboard | report |
| Arrhythmia Detection | The PhysioNet Computing in Cardiology Challenge 2017 | Feature-based approach (no segmentation) | Accuracy (TRAIN-DB) | 72.0% | #1 of 5 | Archive leaderboard | report |
| Arrhythmia Detection | The PhysioNet Computing in Cardiology Challenge 2017 | Feature-based approach (10 s segments) | Accuracy (TEST-DB) | 78% | #3 of 5 | Archive leaderboard | report |
| Arrhythmia Detection | The PhysioNet Computing in Cardiology Challenge 2017 | Feature-based approach (10 s segments) | Accuracy (TRAIN-DB) | 76.6% | #3 of 5 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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