Machine Learning Classification of SCD, CHF, and NSR Using 15-Minute ECG-Derived HRV Features

Heart disease remains one of the leading causes of mortality worldwide, making early detection essential for effective intervention. Heart Rate Variability (HRV) is widely used as a non-invasive marker for assessing cardiac conditions, and machine learning has shown potential in classifying heart d...

Полное описание

Библиографические подробности

Главные авторы:	Febriyanti Panjaitan, Win Ce, M. Fajar Ramadhan, Winarnie, Hery Oktafiandi
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Asosiasi Doktor Sistem Informasi Indonesia 2026-04-01
Серии:	Journal of Information Systems and Informatics
Предметы:	Heart Rate Variability ECG classification Sudden Cardiac Death Congestive Heart Failure Machine Learning
Online-ссылка:	https://journal-isi.org/index.php/isi/article/view/1557
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!