Fast computation of approximate entropy

Computer Methods and Programs in Biomedicine

Volumn 91, Issue 1, 2008, Pages 48-54

  Manis, George ^a  

^a UNIVERSITY OF IOANNINA   (Greece)

Author keywords

ApEn; Approximate entropy; Fast algorithm

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; BIOMEDICAL ENGINEERING; PROBLEM SOLVING; SYSTEMS SCIENCE;

APPROXIMATE ENTROPY (APEN); BIOMEDICAL SIGNALS; FAST ALGORITHMS;

COMPUTATIONAL COMPLEXITY;

ALGORITHM; APPROXIMATE ENTROPY; ARTICLE; ENTROPY; EXPERIMENTAL STUDY;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; ENTROPY; MODELS, BIOLOGICAL; MODELS, STATISTICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 44149119770     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2008.02.008     Document Type: Article

References (13)

1. Pincus S. Approximate entropy (ApEn) as a complexity measure. Chaos 5 (1995) 110-117
2. Pincus S. Approximate entropy as a measure of system complexity. Proc. Natl. Acad. Sci. U.S.A. 88 6 (1991) 2297-2301
3. Ryan S., Goldberger A., Pincus S., Mietus J., and Lipsitz L. Gender and age-related differences in heart rate dynamics: are women more complex than men. J. Am. Coll. Cardiol. 24 (1994) 1700-1707
4. Ho K., Moody G., Peng C., Mietus J., Larson M., Levy D., and Goldberger A. 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. Circulation 96 3 (1997) 842-848
5. Schuckers S., and Pisut R. Distinction of arrhythmias with the use of approximate entropy. Computers in Cardiology. Hannover, Germany (1999)
6. Levy W., Pantin E., Mehta S., and McGarvey M. Hypothermia and the approximate entropy of the electroencephalogram. Anesthesiology 98 1 (2003) 53-57
7. Abasolo D., Hornero R., Espino P., Alonso A., and de la Rosa R. Electroencephalogram analysis with approximate entropy to help in the diagnosis of Alzheimer's disease. Proceedings of the 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine. Birmingham, U.K. (2004) 222-225
8. Pincus S.M., and Keefe D.L. Quantification of hormone pulsatility via an approximate entropy algorithm. Am. J. Physiol. Endocrinol. Metabol. 262 5 (1992) 741-754
9. Burioka N., Cornélissen G., Halberg F., Kaplan D.T., Suyama H., Sako T., and Shimizu E. Approximate entropy of human respiratory movement during eye-closed waking and different sleep stages. Chest 123 (2003) 80-86
10. Vaya C., Rieta J., Alcaraz R., Sanchez C., and Cervigon R. Prediction of atrial fibrillation termination by approximate entropy in the time-frequency domain. Computers in Cardiology. Valencia, Spain (2006) 589-592
11. Pincus S., and Kalman R. Irregularity, volatility, risk, and financial market time series. Proc. Natl. Acad. Sci. 101 38 (2004) 709-714
12. Kozuch M., and Wang L. Approximate entropy as a measure of irregularity in earthquake sequences. American Geophysical Union, Fall Meeting. San Francisco, California, USA (2001)
13. Manis G., and Nikolopoulos S. Speeding up the computation of approximate entropy. Medicon. Ljubljana, Slovenia (2007)