Measuring complexity using FuzzyEn, ApEn, and SampEn.

[1]  Donald W. Bouldin,et al.  A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  S M Pincus,et al.  Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[3]  Steven M. Pincus,et al.  Quantification of hormone pulsatility via an approximate entropy algorithm. , 1992, The American journal of physiology.

[4]  G G Haddad,et al.  Heart rate control in normal and aborted-SIDS infants. , 1993, The American journal of physiology.

[5]  A L Goldberger,et al.  Physiological time-series analysis: what does regularity quantify? , 1994, The American journal of physiology.

[6]  S. Pincus.  Approximate entropy (ApEn) as a complexity measure. , 1995, Chaos.

[7]  Bruce C. Wheeler,et al.  EMG feature evaluation for movement control of upper extremity prostheses , 1995 .

[8]  Steven M. Pincus,et al.  Older males secrete luteinizing hormone and testosterone more irregularly, and jointly more asynchronously, than younger males. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[9]  A Statistical Feature of Genetic Sequences , 1998 .

[10]  Niels-Henrik Holstein-Rathlou,et al.  Approximate entropy and point correlation dimension of heart rate variability in healthy subjects , 1998, Integrative physiological and behavioral science : the official journal of the Pavlovian Society.

[11]  S Micera,et al.  A hybrid approach to EMG pattern analysis for classification of arm movements using statistical and fuzzy techniques. , 1999, Medical engineering & physics.

[12]  Diks,et al.  Efficient implementation of the gaussian kernel algorithm in estimating invariants and noise level from noisy time series data , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[13]  J. Bruhn,et al.  Approximate Entropy as an Electroencephalographic Measure of Anesthetic Drug Effect during Desflurane Anesthesia , 2000, Anesthesiology.

[14]  Hari Eswaran,et al.  Testing for nonlinearity of the Contraction Segments in Uterine Electromyography , 2000, Int. J. Bifurc. Chaos.

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

[16]  Mohammad Hassan Moradi,et al.  Evaluation of the forearm EMG signal features for the control of a prosthetic hand. , 2003, Physiological measurement.

[17]  Tassos Bountis,et al.  An adaptive way for improving noise reduction using local geometric projection. , 2004, Chaos.

[18]  Andrea Caumo,et al.  Approximate entropy of respiratory patterns in panic disorder. , 2004, The American journal of psychiatry.

[19]  Barbara Schultz,et al.  Correlation of Narcotrend Index, entropy measures, and spectral parameters with calculated propofol effect-site concentrations during induction of propofol–remifentanil anaesthesia , 2004, Journal of Clinical Monitoring and Computing.

[20]  Xinbao Ning,et al.  Approximate entropy analysis of short-term HFECG based on wave mode , 2005 .

[21]  Eiji Shimizu,et al.  Approximate Entropy of the Electroencephalogram in Healthy Awake Subjects and Absence Epilepsy Patients , 2005, Clinical EEG and neuroscience.

[22]  Nitish V. Thakor,et al.  Monotonicity of approximate entropy during transition from awareness to unresponsiveness due to propofol anesthetic induction , 2006, IEEE Transactions on Biomedical Engineering.

[23]  Dong-Gu Shin,et al.  Prediction of paroxysmal atrial fibrillation using nonlinear analysis of the R-R interval dynamics before the spontaneous onset of atrial fibrillation. , 2006, Circulation journal : official journal of the Japanese Circulation Society.

[24]  Wangxin Yu,et al.  Characterization of Surface EMG Signal Based on Fuzzy Entropy , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.