Applying Approximate Entropy and Central Tendency Measure to Analyze Time Series Generated by Schizophrenic Patients

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 3, Issue , 2003, Pages 2447-2450

  Hornero, R ^a   Abasolo D E ^a   Jimeno, N ^b   Espino, P ^c  

^a UNIVERSITY OF VALLADOLID   (Spain)

^b UNIVERSITY OF VALLADOLID   (Spain)

^c HOSPITAL CLÍNICO UNIVERSITARIO DE VALLADOLID   (Spain)

Author keywords

Regularity; Schizophrenia; Time series; Variability

Indexed keywords

DISEASES; ENTROPY; NEUROPHYSIOLOGY; PATIENT MONITORING; PATIENT TREATMENT; TIME SERIES ANALYSIS;

REGULARITY; SCHIZOPHRENIA; VARIABILITY ANALYSIS;

BIOMEDICAL ENGINEERING;

EID: 1542270962     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. A.S. David, and J.C. Cutting, The neuropsychology of schizophrenia, Hove, United Kingdom: Lawrence Erlbaum Associates, 1994.
2. S. Rosenberg, N. Weber, M.A. Crocq, F. Duval and J.P. Macher, "Random number generation by normal, alcoholic and schizophrenic subjects", Psychological Medicine, vol. 20, , pp.953-960, 1990.
3. M.P. Paulus, M.A. Geyer and D.L. Braff, "Use of methods from chaos theory to quantify a fundamental dysfunction in the behavioral organization of schizophrenic patients", Am. J. of Psychiatry, vol. 153, pp. 714-715, 1996.
4. M. Koukkou, D. Lehmann and J. Wackermann, "Dimensional complexity of EEG brain mechanisms in untreated schizophrenia, Biological Psychiatry", vol. 33, pp. 397-407, 1993.
5. M. Petit and N. Petit, "A la recherche d'attracteurs étranges dans les maladies mentales", Annales Médico-Psychologiques, vol. 151, pp. 701-705, 1993.
6. N. Jimeno, A. Jimeno, A. Alonso, E. Segovia, and M.L, Vargas, "Basic symptoms and cognitive dynamic disorders in schizophrenic patients", Neurology, Psychiatry and Brain Research, vol. 4, pp. 171-178, 1996.
7. S.M. Pincus, "Approximate entropy as a measure of system complexity", Proc. Natl. Acad. Sci. USA, vol. 88, pp. 2297-2301, 1991.
8. S.M. Pincus, "Heart rate control in normal and aborted-SIDS infants", Am. J. Physiol. (Regulatory Integrative Comp. Physiol.), pp. R638-R646, 1991.
9. S.M. Pincus, "Physiological time series analysis: what does regularity quantify?", Am. J. Physiol., vol. 266 (Heart Circ. Physiol.), pp. H1643-H1656, 1994.
10. S.M. Pincus, "Older males secrete luteinizing hormone and testosterone more irregularly and joint more asynchronously, than younger males", Proc. Natl. Acad. Sci. USA, vol. 93, pp. 14100-14105, 1996.
11. N. Radhakrishnan, B.N. Gangadhar, "Estimating regularity in epileptic seizure time-series data. A complexity-measure approach", IEEE Eng. Med. Biol., vol. 17 (3), pp. 89-94, 1998.
12. X.-S. Zhang and R.J. Roy, "Derived fuzzy knowledge model for estimating the depth of anesthesia", IEEE Trans. Biomed. Eng., vol. 48(3), March 2001.
13. S.M.Pincus and D.L. Keefe, "Quantification of hormone pulsatility via an approximate entropy algorithm", Am.J. Physiol., vol. 262, pp. E741-E754, 1992.
14. S.M. Pincus, "Assessing serial irregularity and its implications for health", Ann. NY Acad. Sci., vol. 954, pp. 245-267, 2001.
15. M. E. Cohen, D. L. Hudson, and P. C. Deedwania, "Applying continuous chaotic modeling to cardiac signals", IEEE Eng. Med. Biol., vol. 15 (5), pp. 97-102, 1996.
16. D.L. Hudson, M.E. Cohen, and P.C. Deedwania, "Classification of heart failure patients using continuous chaotic modeling", Proceedings of the 18th World Congress on Medical Physics and Biomedical Engineering, Nice, France, 1997, pp. 480.
17. M.E. Cohen, D.L. Hudson, M.F. Anderson and P.C. Deedwania, "Using continuous chaotic modeling to analyze biomedical time series", Proc. of the 18th World Congress on Medical Physics and Biomedical Engineering, Nice, France, 1997, pp. 477.