Real time acquisition and processing of massive electro-encephalographic signals for modeling by nonlinear statistics
- 81 Downloads
Electro EncephaloGraphic (EEG) signals follow complex patterns, which are needed to analyse either for healthy or sick people. Instead of analyzing long rolls of EEG, to decide how a brain works given a task to solve, a index which can simplify massive data (EEG) information in a very simple plot in terms of an index: Average Bivariate MultiScale Entropy (ABMSE) This index is a modified version of a nonlinear statistic known as MultiScale Entropy (MSE) that resulted to be very useful for this task is exploited. Early results show the proposal statistic ABMSE concentrates massive complexity information in a single quantity that can be plotted per brain zone. Some ideas are discussed on the application of interactive engineering and design. In particular, the use of learning algorithms to distinguish different pathological scenarios based on EEG signal post processing. This will support neurologists, bioengineers and neuroscientists in healthy or sick people.
KeywordsElectro EncephaloGraphic MultiScale Entropy Time Series
This research was supported by the Tecnológico de Monterrey. Funding was provided by Instituto Tecnológico y de Estudios Superiores de Monterrey (Grant No. #100).
- 2.Grant, A.C., Abdel-Baki, S.G., Weedon, J., et al.: EEG interpretation reliability and interpreter confidence: a large single-centre study. Epilepsy Behav. 32, 102–107 (2014)Google Scholar
- 3.Rating, D.: Journal Club, Wie konstant ist die EEG-Befundung? Zeitschrift fr Epileptologie 27(2), 139–142 (2014)Google Scholar
- 5.Richman, J.S., Moorman, J.R.: Physiological time series analysis using approximate entropy and sample entropy. Am. J. Physiol. Heart Circ. Physiol 278(H2039), H2039–H2049 (2000)Google Scholar
- 8.Pincus, S.M.: Approximate entropy (ApEn) as a complexity measure. Chaos: an interdisciplinary. J. Nonlinear Sci. 1(5), 110–117 (1995)Google Scholar
- 10.Costa, M., Goldberger, A., Peng, C.K.: Multiscale entropy analysis of complex physiologic time series. Phys. Rev. 89(6), 068102(1)–068102(4) (2002)Google Scholar
- 12.Zavala-Yoé, R., Ramírez-Mendoza, R., Cordero, L.M.: Novel way to investigate evolution of children refractory epilepsy by complexity metrics in massive information. Springer Plus 4(437), 1–33 (2015)Google Scholar
- 14.g.tec Medical Engineering Gmbh. Advanced Biosignal Acquisition Processing and Aanalysis, Products 2013/2014. www.gtec.at, Austria (2014)
- 15.Gil-Nagel, A.: Manual de Electroencefalografia. McGraw-Hill Interamericana, Mexico (2001)Google Scholar
- 17.Fischer, X., Nadeau, J.P.: Interactive design: then and now. Res. Interact. Des. Springer Paris Paris. 3, 1–5 (2011)Google Scholar