Quantifying Heart Rate Variability Using Multiscale Fuzzy Dispersion Entropy

Article Properties
  • DOI (url)
    10.1109/access.2024.3369689
  • Publication Date
    2024/01/01
  • Journal
    IEEE Access
  • Indian UGC (journal)
  • Refrences
    44
  • Chae-Min Kim Department of Electronics and Communications Engineering, Kwangwoon University, Seoul, South Korea
  • Young-Seok Choi Department of Electronics and Communications Engineering, Kwangwoon University, Seoul, South Korea ORCID (unauthenticated)
Journal Categories
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Electrical engineering
Electronics
Nuclear engineering
Telecommunication
Refrences
Title Journal Journal Categories Citations Publication Date
A new method for detecting atrial fibrillation using R–R intervals 1983
Multiscale entropy analysis of biological signals Physical Review E 36 2005
What is physiologic complexity and how does it change with aging and disease? Neurobiology of Aging
  • Medicine: Internal medicine: Special situations and conditions: Geriatrics
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
 22 2002
10.1590/S0102-76382009000200018
The Fractal-like Complexity of Heart Rate Variability beyond Neurotransmitters and Autonomic Receptors: Signaling Intrinsic to Sinoatrial Node Pacemaker Cells Cardiovascular Pharmacology: Open Access 20 2013