<?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>0121-750X</journal-id>
<journal-title><![CDATA[Ingeniería]]></journal-title>
<abbrev-journal-title><![CDATA[ing.]]></abbrev-journal-title>
<issn>0121-750X</issn>
<publisher>
<publisher-name><![CDATA[Universidad Distrital Francisco José de Caldas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0121-750X2024000200200</article-id>
<article-id pub-id-type="doi">10.14483/23448393.21311</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[A Comparative Analysis between FFT, EMD, and EEMD for Epilepsy Detection]]></article-title>
<article-title xml:lang="es"><![CDATA[Análisis comparativo entre FFT, EMD y EEMD para la detección de la epilepsia]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Dorado-Romero]]></surname>
<given-names><![CDATA[Leandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bueno-López]]></surname>
<given-names><![CDATA[Maximiliano]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cifuentes-Quintero]]></surname>
<given-names><![CDATA[Jenny Alexandra]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Cauca  ]]></institution>
<addr-line><![CDATA[Popayán ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad del Cauca  ]]></institution>
<addr-line><![CDATA[Popayán ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Pontificia Comillas  ]]></institution>
<addr-line><![CDATA[Madrid ]]></addr-line>
<country>Spain</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2024</year>
</pub-date>
<volume>29</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0121-750X2024000200200&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0121-750X2024000200200&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0121-750X2024000200200&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Context:  Epilepsy is a neurological disease that affects more than 50 million people worldwide, causing recurrent seizures, with a significant impact on patients&#8217; quality of life due to abnormally synchronized neuronal activity.  Method:  This article discusses three methods used for signal analysis in patients diagnosed with epilepsy. Conventional signal decomposition methods, such as the fast Fourier transform, widely used in signal analysis based on time series techniques, have some issues when analyzing nonlinear and non-stationary signals, in addition to difficulties in detecting low-order frequencies.  Results:  To overcome these limitations, alternatives such as empirical mode decomposition and one of its variants, called ensemble empirical mode decomposition, have been developed.  Conclusions:  In this study, the results obtained through the aforementioned techniques were compared, revealing the impact of nonlinear methods on the reconstruction of brain activity. electroencephalogram, empirical mode decomposition, epilepsy, instantaneous frequency, intrinsic mode functions, methodology, nonlinear, non-stationary, oscillation modes, seizures.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Contexto:  La epilepsia es una enfermedad neurológica que afecta a más de 50 millones de personas en todo el mundo, provocando convulsiones recurrentes, con un impacto significativo en la calidad de vida de los pacientes debido a actividad neuronal anormalmente sincronizada.  Métodos:  Este artículo analiza tres métodos empleados para el análisis de señales en pacientes diagnosticados con epilepsia. Los métodos de descomposición de señales convencionales, como la transformada rápida de Fourier, ampliamente utilizada en el análisis de señales basado en técnicas de series de tiempo, presentan algunos problemas al analizar señales no lineales y no estacionarias, así como dificultades para detectar frecuencias de bajo orden.  Resultados:  Para superar estas limitaciones, se han desarrollado alternativas como la descomposición empírica de modos y una de sus variantes, llamada descomposición modal empírica de conjunto. Estas técnicas permiten observar diferentes modos de oscilación mediante las funciones de modo intrínseco y las frecuencias instantáneas.  Conclusiones:  En este estudio se compararon los resultados obtenidos mediante las técnicas mencionadas, revelando el impacto de los métodos no lineales en la reconstrucción de la actividad cerebral.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[These techniques allow observing different oscillation modes through intrinsic mode functions and instantaneous frequencies.]]></kwd>
<kwd lng="es"><![CDATA[electro encefalograma]]></kwd>
<kwd lng="es"><![CDATA[descomposición epmírica de modos]]></kwd>
<kwd lng="es"><![CDATA[epilepsia]]></kwd>
<kwd lng="es"><![CDATA[frecuencia instantánea]]></kwd>
<kwd lng="es"><![CDATA[funciones de modo intrínseco]]></kwd>
<kwd lng="es"><![CDATA[metodología]]></kwd>
<kwd lng="es"><![CDATA[no lineal]]></kwd>
<kwd lng="es"><![CDATA[no estacionario]]></kwd>
<kwd lng="es"><![CDATA[modos de oscilación]]></kwd>
<kwd lng="es"><![CDATA[convulsiones]]></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[Fisher]]></surname>
<given-names><![CDATA[RS]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[ILAE official report: a practical clinical definition of epilepsy]]></article-title>
<source><![CDATA[Epilepsia]]></source>
<year>2014</year>
<volume>55</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>475-82</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>[2 ]</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tzallas]]></surname>
<given-names><![CDATA[AT]]></given-names>
</name>
</person-group>
<source><![CDATA[Automated epileptic seizure detection methods: a review study. Epilepsy-Histol. Electroencephalogr. Psychol. Asp]]></source>
<year>2012</year>
<page-range>2027-36</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[Fiest]]></surname>
<given-names><![CDATA[KM]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prevalence and incidence of epilepsy: a systematic review and meta-analysis of international studies]]></article-title>
<source><![CDATA[Neurology]]></source>
<year>2017</year>
<volume>88</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>296-303</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>[4 ]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Roy]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Kiral-Kornek]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Harrer]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<source><![CDATA[A deep recurrent neural network for abnormal EEG identification]]></source>
<year>2019</year>
<conf-name><![CDATA[ Proc. 17th Conf. Artif. Intell. Med (AIME)]]></conf-name>
<conf-loc> </conf-loc>
<page-range>47-56</page-range><publisher-loc><![CDATA[Poznan, Poland ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B5">
<label>[5 ]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guerrero]]></surname>
<given-names><![CDATA[L-D]]></given-names>
</name>
<name>
<surname><![CDATA[Romero]]></surname>
<given-names><![CDATA[LD]]></given-names>
</name>
<name>
<surname><![CDATA[Bueno-López]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<source><![CDATA[A review of epileptic seizure detection using EEG signals analysis in the time and frequency domain]]></source>
<year>2021</year>
<conf-name><![CDATA[ 2021 IEEE 21st Int. Conf. Commun. Technol.]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1363-7</page-range><publisher-name><![CDATA[(ICCT)]]></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[Karabiber Cura]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
<name>
<surname><![CDATA[Kocaaslan Atli]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Türe]]></surname>
<given-names><![CDATA[HS]]></given-names>
</name>
<name>
<surname><![CDATA[Akan]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Epileptic seizure classifications using empirical mode decomposition and its derivative]]></article-title>
<source><![CDATA[Biomed. Eng.]]></source>
<year>2020</year>
<volume>19</volume>
<page-range>1-22</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>[7 ]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Munoz]]></surname>
<given-names><![CDATA[PA]]></given-names>
</name>
<name>
<surname><![CDATA[Giraldo]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[López]]></surname>
<given-names><![CDATA[MB]]></given-names>
</name>
<name>
<surname><![CDATA[Molinas]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<source><![CDATA[Automatic selection of frequency bands for electroencephalographic source localization]]></source>
<year>2019</year>
<conf-name><![CDATA[ Proc. 2019 9th Int. IEEE/EMBS Conf. on Neural Eng]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1179-82</page-range><publisher-name><![CDATA[(NER)]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B8">
<label>[8 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Engel Jr]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evolution of concepts in epilepsy surgery]]></article-title>
<source><![CDATA[Epileptic Disorders]]></source>
<year>2019</year>
<volume>21</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>391-409</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>[9 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ceballos Dominguez]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Subathra]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Sairamya]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Thomas George]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Detection of focal epilepsy in brain maps through a novel pattern recognition technique]]></article-title>
<source><![CDATA[Neur. Comput. and Appl.]]></source>
<year>2020</year>
<volume>32</volume>
<page-range>10143-57</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>[10 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[van Klink]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Simultaneous MEG and EEG to detect ripples in people with focal epilepsy]]></article-title>
<source><![CDATA[Clin. Neuroph.]]></source>
<year>2019</year>
<volume>130</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>1175-83</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>[11 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zazzaro]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Cuomo]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Martone]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Montaquila]]></surname>
<given-names><![CDATA[RV]]></given-names>
</name>
<name>
<surname><![CDATA[Toraldo]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Pavone]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[EEG signal analysis for epileptic seizures detection by applying data mining techniques]]></article-title>
<source><![CDATA[IoT]]></source>
<year>2021</year>
<volume>14</volume>
<page-range>100048</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>[12 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kulaseharan]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Aminpour]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Ebrahimi]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Widjaja]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Identifying lesions in paediatric epilepsy using morphometric and textural analysis of magnetic resonance images]]></article-title>
<source><![CDATA[NeuroImage: Clinical]]></source>
<year>2019</year>
<volume>21</volume>
<page-range>101663</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[Moctezuma]]></surname>
<given-names><![CDATA[LA]]></given-names>
</name>
<name>
<surname><![CDATA[Molinas]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[EEG channel-selection method for epileptic-seizure classification based on multi-objective optimization]]></article-title>
<source><![CDATA[Front. Neurosci.]]></source>
<year>2020</year>
<volume>14</volume>
<page-range>593</page-range></nlm-citation>
</ref>
<ref id="B14">
<label>[14 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[McLoughlin]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Duffy]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Conlon]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluation of time series techniques to characterise domestic electricity demand]]></article-title>
<source><![CDATA[Energy]]></source>
<year>2013</year>
<volume>50</volume>
<page-range>120-30</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>[15 ]</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cano]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Salcedo]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Soto]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<source><![CDATA[Análisis de principios y aplicaciones de la transformada wavelet]]></source>
<year>2010</year>
<publisher-name><![CDATA[Universidad Nacional de Catamarca]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B16">
<label>[16 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Olbrys]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Mursztyn]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Measuring stock market resiliency with discrete Fourier transform for high frequency data]]></article-title>
<source><![CDATA[Physica A]]></source>
<year>2019</year>
<volume>513</volume>
<page-range>248-56</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>[17 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sanabria-Villamizar]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Bueno-López]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Hernández]]></surname>
<given-names><![CDATA[JC]]></given-names>
</name>
<name>
<surname><![CDATA[Vera]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Characterization of household consumption load profiles in the time and frequency domain]]></article-title>
<source><![CDATA[Int. J. Electr. Power Energy Syst.]]></source>
<year>2022</year>
<volume>137</volume>
<page-range>107756</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>[18 ]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sharma]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Pachori]]></surname>
<given-names><![CDATA[RB]]></given-names>
</name>
<name>
<surname><![CDATA[Gautam]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<source><![CDATA[Empirical mode decomposition based classification of focal and non-focal EEG signals]]></source>
<year>2014</year>
<conf-name><![CDATA[ Proc. 2014 Int. Conf. Med. Biometrics]]></conf-name>
<conf-loc> </conf-loc>
<page-range>135-40</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>[19 ]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Colominas]]></surname>
<given-names><![CDATA[MA]]></given-names>
</name>
<name>
<surname><![CDATA[Schlotthauer]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Flandrin]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[ME]]></given-names>
</name>
</person-group>
<source><![CDATA[Descomposición empírica en modos por conjuntos completa con ruido adaptativo y aplicaciones biomédicas]]></source>
<year>2011</year>
<conf-name><![CDATA[ Proc. XVIII Cong Arg. Bioing. y VII Jorn. Ing. Clínica]]></conf-name>
<conf-loc> </conf-loc>
<publisher-loc><![CDATA[Argentina ]]></publisher-loc>
<publisher-name><![CDATA[Mar del Plata]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B20">
<label>[20 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lei]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Zuo]]></surname>
<given-names><![CDATA[MJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A review on empirical mode decomposition in fault diagnosis of rotating machinery]]></article-title>
<source><![CDATA[Mech. Syst. Signal Process]]></source>
<year>2013</year>
<volume>35</volume>
<numero>1-2</numero>
<issue>1-2</issue>
<page-range>108-26</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>[24 ]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fosso]]></surname>
<given-names><![CDATA[OB]]></given-names>
</name>
<name>
<surname><![CDATA[Molinas]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<source><![CDATA[EMD mode mixing separation of signals with close spectral proximity in smart grids]]></source>
<year>2018</year>
<conf-name><![CDATA[ Proc. 2018 IEEE PES Innovat. Smart Grid Technolog. Conf]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1-6</page-range><publisher-name><![CDATA[(ISGT-Europe)]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B22">
<label>[24 ]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bueno-López]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Molinas]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Kulia]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<source><![CDATA[Understanding instantaneous frequency detection: A discussion of Hilbert-Huang transform versus wavelet transform]]></source>
<year>2017</year>
<volume>1</volume>
<conf-name><![CDATA[ Proc. Int. Work-Conf. Time Ser. Anal]]></conf-name>
<conf-loc> </conf-loc>
<page-range>474-86</page-range><publisher-name><![CDATA[ITISE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B23">
<label>[24 ]</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Goldberger]]></surname>
<given-names><![CDATA[AL]]></given-names>
</name>
<name>
<surname><![CDATA[Amaral]]></surname>
<given-names><![CDATA[LAN]]></given-names>
</name>
</person-group>
<source><![CDATA[PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals]]></source>
<year>2000</year>
</nlm-citation>
</ref>
<ref id="B24">
<label>[24 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gómez]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Arbeláez]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Navarrete]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Alvarado-Rojas]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Le Van Quyen]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Valderrama]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automatic seizure detection based on imaged-EEG signals through fully convolutional networks]]></article-title>
<source><![CDATA[Sci. Rep.]]></source>
<year>2020</year>
<volume>10</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-13</page-range></nlm-citation>
</ref>
<ref id="B25">
<label>[25 ]</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Malmivuo]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Plonsey]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<source><![CDATA[Bioelectromagn. EEG]]></source>
<year>1995</year>
<page-range>247-64</page-range></nlm-citation>
</ref>
<ref id="B26">
<label>[26 ]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shoeb]]></surname>
<given-names><![CDATA[AH]]></given-names>
</name>
<name>
<surname><![CDATA[Guttag]]></surname>
<given-names><![CDATA[JV]]></given-names>
</name>
</person-group>
<source><![CDATA[Application of machine learning to epileptic seizure detection]]></source>
<year>2010</year>
<conf-name><![CDATA[ Proc. ICML]]></conf-name>
<conf-loc> </conf-loc>
</nlm-citation>
</ref>
<ref id="B27">
<label>[27 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodriguez]]></surname>
<given-names><![CDATA[MA]]></given-names>
</name>
<name>
<surname><![CDATA[Sotomonte]]></surname>
<given-names><![CDATA[JF]]></given-names>
</name>
<name>
<surname><![CDATA[Cifuentes]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Bueno-López]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A classification method for power-quality disturbances using Hilbert-Huang transform and LSTM recurrent neural networks]]></article-title>
<source><![CDATA[J. Electr. Eng. Technol.]]></source>
<year>2021</year>
<volume>16</volume>
<page-range>249-66</page-range></nlm-citation>
</ref>
<ref id="B28">
<label>[28 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Uyar]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Yildirim]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Gencoglu]]></surname>
<given-names><![CDATA[MT]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An expert system based on S-transform and neural network for automatic classification of power quality disturbances]]></article-title>
<source><![CDATA[Expert Syst. Appl.]]></source>
<year>2009</year>
<volume>36</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>5962-75</page-range></nlm-citation>
</ref>
<ref id="B29">
<label>[29 ]</label><nlm-citation citation-type="book">
<collab>F. Series</collab>
<source><![CDATA[Fourier series &amp; Fourier transforms]]></source>
<year>2003</year>
<publisher-name><![CDATA[BioMed. Eng.]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B30">
<label>[30 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zabihi]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Kiranyaz]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Rad]]></surname>
<given-names><![CDATA[AB]]></given-names>
</name>
<name>
<surname><![CDATA[Katsaggelos]]></surname>
<given-names><![CDATA[AK]]></given-names>
</name>
<name>
<surname><![CDATA[Gabbouj]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Ince]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Analysis of high-dimensional phase space via Poincaré section for patient-specific seizure detection]]></article-title>
<source><![CDATA[IEEE Trans. Neural Syst. Rehabil. Eng.]]></source>
<year>2015</year>
<volume>24</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>386-98</page-range></nlm-citation>
</ref>
<ref id="B31">
<label>[31 ]</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[NE]]></given-names>
</name>
</person-group>
<source><![CDATA[Hilbert-Huang transform and its applications]]></source>
<year>2014</year>
<volume>16</volume>
<publisher-name><![CDATA[World Scientific]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B32">
<label>[32 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[NE]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis]]></article-title>
<source><![CDATA[Proc. R. Soc. Lond. A Math. Phys. Eng. Sci.]]></source>
<year>1998</year>
<volume>454</volume>
<numero>1971</numero>
<issue>1971</issue>
<page-range>903-95</page-range></nlm-citation>
</ref>
<ref id="B33">
<label>[33 ]</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jadhav]]></surname>
<given-names><![CDATA[PN]]></given-names>
</name>
<name>
<surname><![CDATA[Shanamugan]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Chourasia]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Ghole]]></surname>
<given-names><![CDATA[AR]]></given-names>
</name>
<name>
<surname><![CDATA[Acharyya]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Naik]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<source><![CDATA[Automated detection and correction of eye blink and muscular artefacts in EEG signal for analysis of autism spectrum disorder]]></source>
<year>2014</year>
<conf-name><![CDATA[ Proc. 2014 36th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1881-4</page-range></nlm-citation>
</ref>
<ref id="B34">
<label>[34 ]</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Peel]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Pegram]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[McMahon]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
</person-group>
<source><![CDATA[Empirical mode decomposition: improvement and application. Proc. Int. Congress Model. Simul]]></source>
<year>2007</year>
<volume>1</volume>
<page-range>2996-3002</page-range></nlm-citation>
</ref>
<ref id="B35">
<label>[35 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bueno-López]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Sanabria-Villamizar]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Molinas]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Bernal-Alzate]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Oscillation analysis of low-voltage distribution systems with high penetration of photovoltaic generation]]></article-title>
<source><![CDATA[Electr. Eng.]]></source>
<year>2021</year>
<volume>103</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>1141-54</page-range></nlm-citation>
</ref>
<ref id="B36">
<label>[36 ]</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rehtanz]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Cao]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<source><![CDATA[Interconnected power systems: Wide-area dynamic monitoring and control applications]]></source>
<year>2016</year>
</nlm-citation>
</ref>
<ref id="B37">
<label>[37 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[NE]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Ensemble empirical mode decomposition: a noise-assisted data analysis method]]></article-title>
<source><![CDATA[Adv. Adapt. Data Anal.]]></source>
<year>2009</year>
<volume>1</volume>
<numero>01</numero>
<issue>01</issue>
<page-range>1-41</page-range></nlm-citation>
</ref>
<ref id="B38">
<label>[38 ]</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Messina]]></surname>
<given-names><![CDATA[AR]]></given-names>
</name>
<name>
<surname><![CDATA[Vittal]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Heydt]]></surname>
<given-names><![CDATA[GT]]></given-names>
</name>
<name>
<surname><![CDATA[Browne]]></surname>
<given-names><![CDATA[TJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Nonstationary approaches to trend identification and denoising of measured power system oscillations]]></article-title>
<source><![CDATA[IEEE Trans. Power Syst.]]></source>
<year>2009</year>
<volume>24</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1798-807</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
