Early prediction of ventricular fibrillation through continuous ECG analysis and machine learning techniques

Abstract Purpose Ventricular fibrillation (VF) is a life-threatening arrhythmia in which timely intervention is critical to prevent sudden cardiac death (SCD). Early prediction can improve survival rates by enabling pre-emptive clinical actions or early patient response. However, most existing VF pr...

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Autors principals:	Wei Wei Heng, Eileen Lee Ming Su, Xuxia Feng, Nurul Ashikin Abdul-Kadir, Weng Howe Chan, Zeeshan Ahmad Arfeen
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2025-09-01
Col·lecció:	EURASIP Journal on Advances in Signal Processing
Matèries:	Ventricular fibrillation (VF) Sudden cardiac death (SCD) Heart rate variability (HRV) Electrocardiogram (ECG) Support vector machine (SVM) Continuous prediction
Accés en línia:	https://doi.org/10.1186/s13634-025-01250-7
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