Inhomogeneous point-process entropy: An instantaneous measure of complexity in discrete systems

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 89, Issue 5, 2014, Pages

  Valenza, Gaetano ^a,b   Citi, Luca ^a,c   Scilingo, Enzo Pasquale ^b   Barbieri, Riccardo ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b UNIVERSITY OF PISA   (Italy)

^c UNIVERSITY OF ESSEX   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AGING; AUTOMATED PATTERN RECOGNITION; ENTROPY; GAIT; HEART FAILURE; HEART RATE; HUMAN; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL ANALYSIS;

AGING; DATA INTERPRETATION, STATISTICAL; ENTROPY; GAIT; HEART FAILURE; HEART RATE; HUMANS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84900395957     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.89.052803     Document Type: Article

References (34)

1. H. Joe, J. Am. Stat. Assoc. 84, 157 (1989). JSTNAL 0162-1459 10.1080/01621459.1989.10478751
2. Karmeshu, Entropy Measures, Maximum Entropy Principle and Emerging Applications, Vol. 119 (Springer, Berlin, 2003).
3. A. Renyi, in Fourth Berkeley Symposium on Mathematical Statistics and Probability (University of California Press, Berkeley, 1961), pp. 547-561.
4. J.-P. Eckmann and D. Ruelle, Rev. Mod. Phys. 57, 617 (1985). RMPHAT 0034-6861 10.1103/RevModPhys.57.617
5. P. Grassberger and I. Procaccia, Phys. Rev. A 28, 2591 (1983). 0556-2791 10.1103/PhysRevA.28.2591
6. A. M. Fraser, IEEE Trans. Inf. Theory 35, 245 (1989). IETTAW 0018-9448 10.1109/18.32121
7. S. M. Pincus, Proc. Nat. Acad. Sci. USA 88, 2297 (1991). PNASA6 0027-8424 10.1073/pnas.88.6.2297
8. J. S. Richman and J. R. Moorman, Am. J. Physiol. Heart Circ. Physiol. 278, H2039 (2000).
9. M. Costa, A. L. Goldberger, and C.-K. Peng, Phys. Rev. Lett. 89, 068102 (2002). PRLTAO 0031-9007 10.1103/PhysRevLett.89.068102
10. G. Valenza, P. Allegrini, A. Lanatà, and E. P. Scilingo, Front. Neuroeng. 5, 1 (2012). 1662-6443 10.3389/fneng.2012.00003
11. G. Valenza, A. Lanata, and E. P. Scilingo, IEEE Trans. Af. Comput. 3, 237 (2012). 1949-3045 10.1109/T-AFFC.2011.30
12. L. Faes, H. Zhao, K. H. Chon, and G. Nollo, IEEE Trans. Biomed. Eng. 56, 685 (2009). IEBEAX 0018-9294 10.1109/TBME.2008.2009358
13. M. U. Ahmed and D. P. Mandic, IEEE Signal Proc. Lett. 19, 91 (2012). IESPEJ 1070-9908 10.1109/LSP.2011.2180713
14. M. R. Kirsch, K. Monahan, J. Weng, S. Redline, and K. A. Loparo, IEEE Trans. Biomed. Eng. 59, 787 (2012). IEBEAX 0018-9294 10.1109/TBME.2011.2179032
15. B. Manor, M. D. Costa, K. Hu, E. Newton, O. Starobinets, H. G. Kang, C. Peng, V. Novak, and L. A. Lipsitz, J. Appl. Physiol. 109, 1786 (2010). 8750-7587 10.1152/japplphysiol.00390.2010
16. G. Valenza, L. Citi, and R. Barbieri, in Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE (IEEE, Piscataway, NJ, 2013), pp. 6131-6134.
17. G. Valenza, L. Citi, A. Lanata, E. P. Scilingo, and R. Barbieri, in Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE (IEEE, Piscataway, NJ, 2013), pp. 2579-2582.
18. M. Masè, L. Faes, R. Antolini, M. Scaglione, and F. Ravelli, Physiol. Meas. 26, 911 (2005). PMEAE3 0967-3334 10.1088/0967-3334/26/6/003
19. V. Z. Marmarelis, Nonlinear Dynamic Modeling of Physiological Systems (Wiley-Interscience, New York, 2004).
20. P. C. Ivanov, L. A. N. Amaral, A. L. Goldberger, S. Havlin, M. G. Rosenblum, Z. R. Struzik, and H. E. Stanley, Nature 399, 461 (1999). NATUAS 0028-0836 10.1038/20924
21. T. Force, Circulation 93, 1043 (1996). CIRCAZ 0009-7322 10.1161/01.CIR.93.5.1043
22. U. R. Acharya, K. P. Joseph, N. Kannathal, C. M. Lim, and J. S. Suri, Med. Biol. Eng. Comput. 44, 1031 (2006). MBECDY 0140-0118 10.1007/s11517-006- 0119-0
23. R. Barbieri, E. Matten, A. Alabi, and E. Brown, Am. J. Physiol. Heart Circ. Physiol. 288, H424 (2005). 0363-6135 10.1152/ajpheart.00482.2003
24. G. Valenza, L. Citi, E. Scilingo, and R. Barbieri, IEEE Trans. Signal Proc. 61, 2914 (2013). ITPRED 1053-587X 10.1109/TSP.2013.2253775
25. L. Citi, G. Valenza, and R. Barbieri, in Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE (IEEE, Piscataway, NJ, 2012), pp. 13-16.
26. J. M. Hausdorf, http://physionet.org/physiobank/database/gaitdb/
27. V. Marmarelis, Ann. Biomed. Eng. 21, 573 (1993). ABMECF 0090-6964 10.1007/BF02368639
28. E. N. Brown, R. Barbieri, U. T. Eden, and L. M. Frank, in Computational Neuroscience: A Comprehensive Approach, edited by J. Feng (Chapman & Hall/CRC, London, 2003), Chap. 9, pp. 253-286.
29. P. Grassberger and I. Procaccia, Physica D: Nonlin. Phenom. 9, 189 (1983). PDNPDT 0167-2789 10.1016/0167-2789(83)90298-1
30. T. Heldt, E. B. Shim, R. D. Kamm, and R. G. Mark, J. Appl. Physiol. 92, 1239 (2002).
31. A. Porta, T. Gnecchi-Ruscone, E. Tobaldini, S. Guzzetti, R. Furlan, and N. Montano, J. Appl. Physiol. 103, 1143 (2007). 8750-7587 10.1152/japplphysiol. 00293.2007
32. M. P. Tulppo, R. L. Hughson, T. H. Mäkikallio, K. J. Airaksinen, T. Seppänen, and H. V. Huikuri, Am. J. Physiol. Heart Circ. Physiol. 280, H1081 (2001).
33. MIT-BIH Normal Sinus Rhythm Database and BIDMC Congestive Heart Failure Database available at http://www.physionet.org/physiobank/database/
34. G. Valenza, L. Citi, and R. Barbieri, in Engineering in Medicine and Biology Society (EMBC), 2013 Annual International Conference of the IEEE (IEEE, Piscataway, NJ, 2013).