Robust detection of CHF through new time–frequency features within HRV signals

• Published in: Research on biomedical engineering Vol. 38; no. 2; pp. 369 - 388
• Main Authors: Hadj Ahmed, Ismail, Djebbari, Abdelghani
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.06.2022
• Subjects: Biomaterials; Biomedical Engineering and Bioengineering; Biomedical Engineering/Biotechnology; Engineering; Original Article; Feature selection; Congestive heart failure; Support vector machine; Otsu method; Heart rate variability; Extended modified B–distribution

Purpose The purpose of this study is to develop a high classification–rate detection approach of the congestive heart failure (CHF) through new time–frequency features within heart rate variability (HRV) signals. Methods The study of low–frequency (LF) and high–frequency (HF) bandwidths of the heart...