ecg-qc 1.0b1

a package to compute if ECG signal quality is optimal or noisy

ECG_QC (Quality Classification)

Website : https://www.aura.healthcare

Github : https://github.com/Aura-healthcare Version : 1.0b1

Installation / Prerequisites

User installation

The easiest way to install hrv-analysis is using pip :

$ pip install ecg-qc==1.0b1

you can also clone the repository:

$ git clone https://github.com/Aura-healthcare/ecg_qc.git
$ python setup.py install

Getting started

Usage

Import:

from ecg_qc import ecg_qc

Class initialization:

ecg_qc = ecg_qc()

Default parameters

ecg_qc = ecg_qc(data_encoder='{}/ml/data_encoder/data_encoder.joblib'.format(
                     lib_path),
                 model='{}/ml/models/xgb.joblib'.format(lib_path),
                 sampling_frequency=1000))

Predicting the quality of the signal

ecg_data = [1905.72, ... -150.75995323, -134.14559104] # ECG values with same sampling frequency as class declaration

signal_quality = ecg_qc.get_signal_quality(ecg_data)

Authors

Alexandre CHIROUZE - (https://github.com/achirouze) Alexis COMTE - (https://github.com/alexisgcomte) Laura DUMONT - (https://github.com/laudmt)

License

This project is licensed under the GNU GENERAL PUBLIC License - see the LICENSE.md file for details

Acknowledgments

to complete