Application of weighted sample entropy in detection of abnormal signal

An improved sample entropy (SE) algorithm named weighted sample entropy(WSE) is proposed in this paper to optimize the problems existing in SE based on weighting. The principle of WSE algorithm is given, and the performance of it for dynamical change detection is analyzed using synthetic signal. The results show that WSE can accurately capture amplitude information and amplify the detection results of dynamical changes compared with SE and PE in the case of high complexity, but it requires a higher computation cost than the others. From all the analyses in this paper, we find that WSE has a better performance for dynamical change detection compared with the other three algorithms in abnormal amplitude.

[1]  T. Seppänen,et al.  Quantitative beat-to-beat analysis of heart rate dynamics during exercise. , 1996, The American journal of physiology.

[2]  R B Schuessler,et al.  RR interval dynamics before atrial fibrillation in patients after coronary artery bypass graft surgery. , 1998, Circulation.

[3]  F. Estafanous,et al.  Entropy measures of heart rate variation in conscious dogs. , 1998, American journal of physiology. Heart and circulatory physiology.

[4]  J. J. Rieta,et al.  A novel application of sample entropy to the electrocardiogram of atrial fibrillation , 2010 .

[5]  J. Richman,et al.  Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.

[6]  S. Guzzetti,et al.  Physiological time-series analysis using approximate entropy and sample entropy , 2000 .

[7]  S. Schuckers,et al.  Use of approximate entropy measurements to classify ventricular tachycardia and fibrillation. , 1998, Journal of electrocardiology.

[8]  D. Levy,et al.  Predicting survival in heart failure case and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics. , 1997, Circulation.

[9]  G S Dawes,et al.  Approximate Entropy, a Statistic of Regularity, Applied to Fetal Heart Rate Data Before and During Labor , 1992, Obstetrics and gynecology.

[10]  H V Huikuri,et al.  Dynamic behavior of heart rate in ischemic stroke. , 1999, Stroke.

[11]  Rizwan-uddin,et al.  Probing the Order within Neonatal Heart Rate Variability , 1998, Pediatric Research.

[12]  T R Johnson,et al.  Complementary and non-coincident increases in heart rate variability and irregularity during fetal development. , 1997, Clinical science.

[13]  A L Goldberger,et al.  Heart rate dynamics in patients with stable angina pectoris and utility of fractal and complexity measures. , 1998, The American journal of cardiology.