Signal Quality

Collection of tools to analyze ECG, Plethysmography, and general time-series signal quality

📘 Documentation
📁 Github
🗒️ Example Notebooks

Main Submodules

• datasets - Code to load example ECG signal quality datasets, including the The PhysioNet/Computing in Cardiology Challenge 2011 Dataset and the MIT-BIH Arrhythmia Database.
• sqis - Functions that calculate signal quality indicies on time-series signals. Most implementations are focused on ECG quality, as it is a common area of research.
• featurization - Contains functions that calculate geometric waveform features of Pleth and ECG.

Required packages (Python 3.9)

antropy==0.1.4
biosppy==0.8.0
emd==0.5.4
matplotlib==3.5.1
neurokit2==0.1.7
numpy==1.21.5
pyhrv==0.4.0
PyWavelets==1.3.0
scikit_learn==1.1.3
scipy==1.7.3
torch==1.11.0
tqdm==4.62.3
wfdb==3.4.1