Repository will contain code used in the following open access publication in ACM library:
Juho Laitala, Mingzhe Jiang, Elise Syrjälä, Emad Kasaeyan Naeini, Antti Airola, Amir M. Rahmani, Nikil D. Dutt, and Pasi Liljeberg. 2020. Robust ECG R-peak Detection Using LSTM. In The 35th ACM/SIGAPP Symposium on Applied Computing (SAC ’20), March 30-April 3, 2020, Brno, Czech Republic. (accepted)
https://dl.acm.org/doi/abs/10.1145/3341105.3373945
The presentation can be found at Youtube: https://youtu.be/OJzF1HNVopk
More functionality regarding RR intervals will be added in future, hence the name ecg2rr.
Package requires python version 3.7 or higher and it has following dependecies:
Latest version of the package and its dependencies can be installed from github with pip:
pip install git+https://github.com/jtlait/ecg2rr.git#egg=ecg2rr
Version that was used in the upcoming publication can be installed in similar fashion:
pip install git+https://github.com/jtlait/ecg2rr.git@v0.1.0#egg=ecg2rr
See usage_example.ipynb from the notebooks directory.