<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1815-5928</journal-id>
<journal-title><![CDATA[Ingeniería Electrónica, Automática y Comunicaciones]]></journal-title>
<abbrev-journal-title><![CDATA[EAC]]></abbrev-journal-title>
<issn>1815-5928</issn>
<publisher>
<publisher-name><![CDATA[Universidad Tecnológica de La Habana José Antonio Echeverría, Cujae]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1815-59282023000100066</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Aproximación al conocimiento funcional del Cerebro. Método ASETI]]></article-title>
<article-title xml:lang="en"><![CDATA[Approach to functional knowledge of the brain. ASETI method.]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández López]]></surname>
<given-names><![CDATA[Luis Yoel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rassi Pichardo]]></surname>
<given-names><![CDATA[Juana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández Gigato]]></surname>
<given-names><![CDATA[María E.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Hospital General Docente Abel Santamaría Cuadrado  ]]></institution>
<addr-line><![CDATA[Pinar del Río ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>04</month>
<year>2023</year>
</pub-date>
<volume>44</volume>
<numero>1</numero>
<fpage>66</fpage>
<lpage>76</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1815-59282023000100066&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1815-59282023000100066&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1815-59282023000100066&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Numerosas afectaciones del sistema nerviosos central agotan las posibilidades diagnósticas y terapéuticas con que cuentan los especialistas. La imposibilidad de predecir el comportamiento de sistemas neuronales mediante los registros electroencefalográficos realizados en humanos, es reflejo de la existencia de mecanismos no lineales involucrados. Por la no-linealidad y caoticidad en los electroencefalogramas, se estableció un método de análisis para su mejor comprensión. Se registró la señal eléctrica del cerebro con TrackWalker. Se aplicó el método ASETI a cada registro electroencefalográfico. Los estudios analizados pertenecen a diferentes personas que sufren o no algún tipo de enfermedad. Se realizó un análisis por regiones atendiendo a tamaño, forma y valor del atractor, evidenciando gran variedad de formas y tamaños en diferentes personas e incluso en una misma persona. Esta diversidad refleja que la variabilidad de los mismos puede usarse como un indicador de salud. Del análisis basado en escala de colores y posición fisiológica se obtuvo que la disminución del atractor es por campos de interferencia producto de posibles afectaciones orgánicas. La reducción del atractor está dada por la incapacidad del sistema dinámico para acceder a determinados estados del espacio de fase. El aumento del atractor tiene una causa contraria, el sistema alcanza estados inaccesibles respecto a los de pequeño tamaño. Existe una dinámica que describe y discrimina los cambios en los resultados coincidiendo con los criterios de salud y patología propuestos de modo que es posible usarlo como método diagnostico en el futuro.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Numerous disorders of the central nervous system exhaust the diagnostic and therapeutic possibilities available to specialists. The impossibility of predicting the behavior of neuronal systems through electroencephalographic recordings made in humans reflects the existence of non-linear mechanisms involved. Due to the non-linearity and chaoticity in the electroencephalograms, an analysis method was established for better understanding. The electrical signal from the brain was recorded with TrackWalker. The ASETI method was applied to each electroencephalographic recording. The studies analyzed belong to different people who do or do not suffer from some type of disease. An analysis was carried out by region considering the size, shape and value of the attractor, evidencing a great variety of shapes and sizes in different people and even in the same person. This diversity reflects that their variability can be used as an indicator of health. From the analysis based on color scale and physiological position, it was obtained that the decrease in the attractor is due to interference fields resulting from possible organic effects. The reduction of the attractor is given by the inability of the dynamical system to access certain states of the phase space. The increase in the attractor has an opposite cause, the system reaches inaccessible states with respect to those of small size. There is a dynamic that describes and discriminates the changes in the results coinciding with the proposed health and pathology criteria so that it is possible to use it as a diagnostic method in the future.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[electroencefalogramas]]></kwd>
<kwd lng="es"><![CDATA[atractor]]></kwd>
<kwd lng="es"><![CDATA[variabilidad]]></kwd>
<kwd lng="en"><![CDATA[electroencephalograms]]></kwd>
<kwd lng="en"><![CDATA[attractor]]></kwd>
<kwd lng="en"><![CDATA[variability]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Elbert]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Ray]]></surname>
<given-names><![CDATA[W. J]]></given-names>
</name>
<name>
<surname><![CDATA[Kowalik]]></surname>
<given-names><![CDATA[Z. J]]></given-names>
</name>
<name>
<surname><![CDATA[Skinneer]]></surname>
<given-names><![CDATA[J. E]]></given-names>
</name>
<name>
<surname><![CDATA[Graf]]></surname>
<given-names><![CDATA[K. E]]></given-names>
</name>
<name>
<surname><![CDATA[Birbaumer]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Chaos and physiology]]></article-title>
<source><![CDATA[Physiological Reviews]]></source>
<year>1994</year>
<volume>74</volume>
<page-range>1-47</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Freeman]]></surname>
<given-names><![CDATA[W. J]]></given-names>
</name>
<name>
<surname><![CDATA[Yao]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Burke]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Central pattern generating and recognizing in olfactory bulb: A correlation learning rule]]></article-title>
<source><![CDATA[Neural Networks]]></source>
<year>1988</year>
<volume>1</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>277-88</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ma]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Tang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A review for dynamics in neuron and neuronal network]]></article-title>
<source><![CDATA[Nonlinear Dynamics]]></source>
<year>2017</year>
<volume>89</volume>
<page-range>1569-78</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rajendra Acharya]]></surname>
<given-names><![CDATA[U.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals]]></article-title>
<source><![CDATA[Computers in Biology and Medicine]]></source>
<year>2018</year>
<volume>100</volume>
<page-range>270-8</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Soracipa Muñoz]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[La naturaleza eléctrica del corazón como un problema de conocimiento: estudio sobre las implicaciones que tiene su interpretación desde el contexto de los sistemas dinámicos y la geometría fractal]]></source>
<year>2023</year>
<publisher-loc><![CDATA[Colombia ]]></publisher-loc>
<publisher-name><![CDATA[Universidad Pedagógica Nacional]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B6">
<label>6.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Korda]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Frisman]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Andreou]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Borgwardt]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Nonlinear Methods for the Investigation of Psychotic Disorders. Computational Neuroscience]]></article-title>
<source><![CDATA[Computational Neuroscience]]></source>
<year>2023</year>
<volume>109</volume>
<page-range>133-44</page-range><publisher-name><![CDATA[Neuromethods. Springer Nature]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B7">
<label>7.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jiménez Góme,z]]></surname>
<given-names><![CDATA[W. A]]></given-names>
</name>
<name>
<surname><![CDATA[Plazas Merchán]]></surname>
<given-names><![CDATA[T.J]]></given-names>
</name>
<name>
<surname><![CDATA[Jaimes Gómez]]></surname>
<given-names><![CDATA[F.S]]></given-names>
</name>
<name>
<surname><![CDATA[Quiroga Campos]]></surname>
<given-names><![CDATA[S.Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[MeNuméricos]]></article-title>
<source><![CDATA[Una introducción a los métodos numéricos]]></source>
<year>2020</year>
<publisher-loc><![CDATA[Colombia ]]></publisher-loc>
<publisher-name><![CDATA[Universidad Pedagógica Nacional de Colombia]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B8">
<label>8.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Legarralde]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Vilches]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Luna]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[E. Introducción a la Biología Humana]]></source>
<year>2021</year>
<publisher-name><![CDATA[Universidad Nacional de la Plata Editorial EDULP]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B9">
<label>9.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lestayo O&#8217;Farrill]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Hernández Cáceres]]></surname>
<given-names><![CDATA[J.L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Aplicaciones de la Teoría del caos en medicina]]></article-title>
<source><![CDATA[Revista Cubana de Informática Médica]]></source>
<year>2022</year>
<volume>14</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B10">
<label>10.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tang Yiming]]></surname>
<given-names><![CDATA[Li L]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[State-of-the-art development of complex systems and their simulation methods]]></article-title>
<source><![CDATA[Complex System Modeling and Simulation]]></source>
<year>2021</year>
<volume>1</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>271-90</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11.</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bakheet]]></surname>
<given-names><![CDATA[D. M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Complexity and synchronisation analysis of electroencephalogram signals for early prediction of neurodevelopmental disorders]]></source>
<year>2022</year>
<publisher-name><![CDATA[University of Southampton]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B12">
<label>12.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Boeing]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Visual analysis of nonlinear dynamical systems: chaos, fractals, self-similarity and the limits of prediction]]></article-title>
<source><![CDATA[Systems]]></source>
<year>2016</year>
<volume>4</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>37</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>13.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[Y. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Chaos, fractal in biology, biothermodynamics and matrix representation on hypercycle]]></article-title>
<source><![CDATA[NeuroQuantology]]></source>
<year>2013</year>
<volume>11</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B14">
<label>14.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodríguez Bermudez]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[García Laencina]]></surname>
<given-names><![CDATA[P.J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Analysis of EEG Signals using Nonlinear Dynamics and Chaos]]></article-title>
<source><![CDATA[Applied Mathematics &amp; Information Sciences]]></source>
<year>2015</year>
</nlm-citation>
</ref>
<ref id="B15">
<label>15.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alipour]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Seyed Hashemi Golpayegani]]></surname>
<given-names><![CDATA[M. R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Systemic modeling of chaotic EEG during human sleep]]></article-title>
<source><![CDATA[Informatics in Medicine Unlocked]]></source>
<year>2023</year>
<volume>39</volume>
</nlm-citation>
</ref>
<ref id="B16">
<label>16.</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nandi]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Aston]]></surname>
<given-names><![CDATA[P. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Extracting new information from old waveforms: Symmetric projection attractor reconstruction: Where maths meets medicine]]></article-title>
<source><![CDATA[Experimental physiology]]></source>
<year>2020</year>
<volume>105</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>1444-51</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
