title: Analysis of cardiac signals using spatial filling index and time-frequency domain.
abstract: BACKGROUND
  Analysis of heart rate variation (HRV) has become a popular noninvasive tool for assessing the activities of the autonomic nervous system (ANS). HRV analysis is based on the concept that fast fluctuations may specifically reflect changes of sympathetic and vagal activity. It shows that the structure generating the signal is not simply linear, but also involves nonlinear contributions. These signals are essentially non-stationary; may contain indicators of current disease, or even warnings about impending diseases. The indicators may be present at all times or may occur at random in the time scale. However, to study and pinpoint abnormalities in voluminous data collected over several hours is strenuous and time consuming.
  
  
  METHODS
  This paper presents the spatial filling index and time-frequency analysis of heart rate variability signal for disease identification. Renyi's entropy is evaluated for the signal in the Wigner-Ville and Continuous Wavelet Transformation (CWT) domain.
  
  
  RESULTS
  This Renyi's entropy gives lower 'p' value for scalogram than Wigner-Ville distribution and also, the contours of scalogram visually show the features of the diseases. And in the time-frequency analysis, the Renyi's entropy gives better result for scalogram than the Wigner-Ville distribution.
  
  
  CONCLUSIONS
  Spatial filling index and Renyi's entropy has distinct regions for various diseases with an accuracy of more than 95%.
authors.affiliation: Dept. of ECE, Ngee Ann Polytechnic, Singapore 599489. fol2@np.edu.sg
authors.forename: Oliver
authors.initials: O
authors.lastname: Faust
authors.forename: Rajendra
authors.initials: R
authors.lastname: Acharya U
authors.forename: S M
authors.initials: SM
authors.lastname: Krishnan
authors.forename: Lim Choo
authors.initials: LC
authors.lastname: Min
mesh_terms: D004562:Electrocardiography / Q000379:methods*; D006331:Heart Diseases / Q000175:diagnosis*; D006339:Heart Rate; D006801:Humans; D013997:Time Factors