Gonzalo Romero-García, Paul Lascabettes, Elaine Chew. Automated Musical Rhythm Transcription of ECG RR Interval Time Series as a Tool for Representing Rhythm Variations and Annotation Anomalies in Arrhythmia Heartbeat Classifications. In Computing in Cardiology, CinC 2022, Tampere, Finland, September 4-7, 2022. pages 1-4, IEEE, 2022. [doi]
@inproceedings{RomeroGarciaLC22,
title = {Automated Musical Rhythm Transcription of ECG RR Interval Time Series as a Tool for Representing Rhythm Variations and Annotation Anomalies in Arrhythmia Heartbeat Classifications},
author = {Gonzalo Romero-García and Paul Lascabettes and Elaine Chew},
year = {2022},
doi = {10.22489/CinC.2022.213},
url = {https://doi.org/10.22489/CinC.2022.213},
researchr = {https://researchr.org/publication/RomeroGarciaLC22},
cites = {0},
citedby = {0},
pages = {1-4},
booktitle = {Computing in Cardiology, CinC 2022, Tampere, Finland, September 4-7, 2022},
publisher = {IEEE},
isbn = {979-8-3503-0097-0},
}