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Towards Prediction of Heart Arrhythmia Onset Using Machine Learning
Current study aims at prediction of the onset of malignant cardiac arrhythmia in patients with Implantable Cardioverter-Defibrillators (ICDs) using Machine Learning algorithms. The input data consisted of 184 signals of RR-intervals from 29 patients with ICD, recorded both during normal heartbeat an...
Autores principales: | Kitlas Golińska, Agnieszka, Lesiński, Wojciech, Przybylski, Andrzej, Rudnicki, Witold R. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303682/ http://dx.doi.org/10.1007/978-3-030-50423-6_28 |
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