Multiscale Analysis of Heart Rate Variability: A Comparison of Different Complexity Measures

• Published in: Annals of biomedical engineering Vol. 38; no. 3; pp. 854 - 864
• Main Authors: Hu, Jing, Gao, Jianbo, Tung, Wen-wen, Cao, Yinhe
• Format: Journal Article
• Language: English
• Published: Boston Boston : Springer US 01.03.2010; Springer US; Springer Nature B.V
• Subjects: Algorithms; Atrial Fibrillation; Atrial Fibrillation - diagnosis; Atrial Fibrillation - physiopathology; Biochemistry; Biological and Medical Physics; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Biophysics; Cardiovascular system; Classical Mechanics; diagnosis; Diagnosis, Computer-Assisted; Diagnosis, Computer-Assisted - methods; Electrocardiography; Electrocardiography - methods; Entropy; Female; Heart Rate; Heart rate variability; Humans; Male; methods; Multiscale analysis; Pattern Recognition, Automated; Pattern Recognition, Automated - methods; physiopathology; Reproducibility of Results; Scale-dependent Lyapunov exponent; Sensitivity and Specificity; Cardiovascular system; Scale-dependent Lyapunov exponent; Heart rate variability; Multiscale analysis

Heart rate variability (HRV) is an important dynamical variable of the cardiovascular function. There have been numerous efforts to determine whether HRV dynamics are chaotic or random, and whether certain complexity measures are capable of distinguishing healthy subjects from patients with certain...