title: Continuous and online analysis of heart rate variability.
abstract: Spectral analysis of heart rate variability provides a probe to assess the function of the sympathetic and parasympathetic nervous systems. Time-frequency analysis of heart rate variability is useful for investigating autonomic nervous function in patients with syncope or non-sustained ventricular tachycardia, or in anaesthesia, etc. In this paper, we developed an algorithm for continuous and online analysis of heart rate variability. The algorithm was simulated and evaluated in MATLAB, and implemented on the digital signal processor. The electrocardiogram signals from MIT/BIH arrhythmia database and one patient with syncope demonstrate the capability of the proposed method in the continuous and online analysis of heart rate variability.
authors.affiliation: Department of Electrical Engineering, Chang Gung University, 259 Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan, Taiwan. chanhl@mail.cgu.edu.tw
authors.forename: H L
authors.initials: HL
authors.lastname: Chan
authors.forename: W S
authors.initials: WS
authors.lastname: Chou
authors.forename: S W
authors.initials: SW
authors.lastname: Chen
authors.forename: S C
authors.initials: SC
authors.lastname: Fang
authors.forename: C S
authors.initials: CS
authors.lastname: Liou
authors.forename: Y S
authors.initials: YS
authors.lastname: Hwang
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006339:Heart Rate; D006801:Humans; D009862:Online Systems; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted