Example of applying raw data about ecg_qc HOT 1 CLOSED

Hello alexxony,

Our reference is Brno University of Technology ECG Quality Database (BUT QDB).

Our library focus mainly on physical signal noise, ie electrocardiogram noise. It may be caused for exemple by movements of tje recording device. As our ML models are trained for this, it may not be very efficient on your specific issue, which has more to do with network jittering. Still, you can try !

• initialize ecg_qc class as in readme, with proper sampling frequency
• you have to spit your ecg_qc signal into samples of fixed seconds. For last pip version the ML model is trained of a time window is 9 seconds
• use get_signal_quality(sample_signal) to get the binary quality of the signal. It will compute SQIs and use trained model to classify noise.

The libary is still beta and might not suit your specific issue, however if you want we can help you develop this part. It would improve usability of the library!

Best regards,

Alexis

from ecg_qc.