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Prediction of Medically Drug-Induced Arrhythmias (Torsades de Pointes, Ventricular Tachycardia, and Ventricular Fibrillation) in Rabbit Model up to One Hour Before Their Onset Using Computational Method Based on Entropy Measure and Machine Learning

2025-09-02

Abstract excerpt

<h4>Background: </h4> In general, this methodical paper describes a well-documented application of one complexity measure and various machine learning methods to solve a specific problem in biosignal processing: predictions of ventricular tachycardia & fibrillation and Torsades de Pointes arrhythmia. The methodology part provides a concise introduction to all used methods and is accompanied by a sufficient cit...

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Literature Corpus work: d6cd89bc-3e13-5dac-8263-f14fdb83e1ea
DOI: 10.20944/preprints202509.0119.v1

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Prediction of Medically Drug-Induced Arrhythmias (Torsades de Pointes, Ventricular Tachycardia, and Ventricular Fibrillation) in Rabbit Model up to One Hour Before Their Onset Using Computational Method Based on Entropy Measure and Machine LearningDOI 10.20944/preprints202509.0119.v1Read

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