Daniel Abásolo, Herbert F. Jelinek


  1. [1] The DAI Study Group, The prevalence ofcoronary heart disease in Type 2 diabetic patients in Italy:the DAI study, Diabetic Medicine, 21, 2004, 738-745.
  2. [2] S.C. Johnston & J.D. Easton, Are Patients WithAcutely Recovered Cerebral Ischemia More Unstable?Stroke, 4, 2003, 2446-2450.
  3. [3] D.J. Ewing, C.N. Martyn, R.J. Young, & B.F.Clarke, The value of cardiovascular autonomic functionstests: 10 years experience in diabetes, Diabetes Care,8(5), 1985, 491-498.
  4. [4] J. Sneddon, Cardiovascular autonomic functiontesting. In: P. Sutton, ed, Measurements in Cardiology.New York: Pathenon Publishing Group 1999:101-112.
  5. [5] V. Spallone & G. Menzinger, Diagnosis ofcardiovascular autonomic neuropathy in diabetes,Diabetes, 46(Supplement 2), 1997, S67-S76.
  6. [6] T. Chandra, D.B. Yeates, & L.B. Wong, Heartrate variability analysis - current and future trends,Business Briefing Global Health Care, 2003, 1-5.
  7. [7] H.V. Huikuri, J.S. Perkiomaki, R. Maestri, &G.D. Pinna, Clinical impact of evaluation ofcardiovascular control by novel methods of heart ratedynamics, Philosophical Transactions of the RoyalSociety London, Series a (Mathematical, Physical &Engineering Sciences), 367(1892), 2009, 1223-1238.
  8. [8] A.H. Khandoker, H.F. Jelinek, & M.Palaniswami, Heart rate variability and complexity inpeople with diabetes associated cardiac autonomicneuropathy, Proc 30th IEEE EMBS Annual InternationalConference. Vancouver, Canada: IEEE Press, 2008, 4696-4699.
  9. [9] A.H. Khandoker, D.N. Weiss, J.E. Skinner, J.M.Anchin, M. Hasan Imam, H.F. Jelinek, & M.Palaniswami, PD2i heart rate complexity measure candetect cardiac autonomic neuropathy: an alternative test toEwing battery, Computing in Cardiology 2011(Preprints).
  10. [10] M. Javorka, Z. Trunkvalterova, I. Tonhajzerova,J. Javorkova, K. Javorka, & M. Baumert, Short-term heartrate complexity is reduced in patients with type 1 diabetesmellitus, Clinical Neurophysiology, 119, 2008, 1071-1081.
  11. [11] M. Costa, A.L. Goldberger, & C.K. Peng,Multiscale entropy analysis: a new measure of complexityloss in heart failure, Journal of Electrocardiology,36(Supplement 1), 2003, 39-40.
  12. [12] H.V. Huikuri, T.H. Makikallio, C.K. Peng, A.L.Goldberger, U. Hintze, & M. Moller, Fractal correlationproperties of R-R interval dynamics and mortality inpatients with depressed left ventricular function after anacute myocardial infarction, Circulation, 101(1), 2000,47-53.
  13. [13] C.K. Peng, S.V. Buldyrev, A.L. Goldberger, S.Havlin, M. Simons, & H.E. Stanley, Finite-size effects onlong range correlations: implications for the analysis ofDNA sequences, Physical Review E, 47(5), 1993, 3730-3733.
  14. [14] J. Ziv & N. Merhav, Estimating the number ofstates of a finite-state source, IEEE Transactions onInformation Theory, 38(1), 1992, 61-65.
  15. [15] A. Lempel & J. Ziv, On the complexity of finitesequences, IEEE Transactions on Information Theory,22(1), 1976, 75-81.
  16. [16] D. Abásolo, R. Hornero, C. Gómez, M. García,& M. López, Analysis of EEG background activity inAlzheimer’s disease patients with Lempel-Ziv complexityand central tendency measure, Medical Engineering &Physics, 28(4), 2006, 315-322.
  17. [17] J.M. Amigó, J. Szczepaski, E. Wajnryb, & M.V.Sanchez-Vives, Estimating the entropy rate of spike trainsvia Lempel-Ziv complexity, Neural Computation, 16(4),2004, 717-736.
  18. [18] Y.L. Orlov & V.N. Potapov, An internet resourcefor analysis of DNA sequence complexity, Nucleic AcidsResearch, 32, 2004, W628-W633.
  19. [19] X.S. Zhang, R.J. Roy, & E.W. Jensen, EEGcomplexity as a measure of depth of anesthesia forpatients, IEEE Transactions on Biomedical Engineering,48, 2001, 1424–1433.
  20. [20] N. Radhakrishnan & B.N. Gangadhar,Estimating regularity in epileptic seizure time-series data.A complexity-measure approach, IEEE Engineering inMedicine and Biology, 17, 1998, 89–94.
  21. [21] M. Aboy, R. Hornero, D. Abásolo, & D.Álvarez, Interpretation of the Lempel-Ziv complexitymeasure in the context of biomedical signal analysis,IEEE Transactions in Biomedical Engineering, 53(11),2006, 2282-2288.
  22. [22] M.H. Zweig & G. Campbell, Receiver-OperatingCharacteristic (ROC) plots: a fundamental evaluation toolin clinical medicine, Clinical Chemistry, 39, 1993, 561-577.

Important Links:

Go Back