<?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>2227-1899</journal-id>
<journal-title><![CDATA[Revista Cubana de Ciencias Informáticas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev cuba cienc informat]]></abbrev-journal-title>
<issn>2227-1899</issn>
<publisher>
<publisher-name><![CDATA[Editorial Ediciones Futuro]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2227-18992020000400102</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Algorithms to estimate the instantaneous-frequency of a respiratory time-varying sequence]]></article-title>
<article-title xml:lang="es"><![CDATA[Algoritmos para estimar la frecuencia instantánea de una secuencia respiratoria variable en el tiempo]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Taboada-Crispi]]></surname>
<given-names><![CDATA[Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rivera]]></surname>
<given-names><![CDATA[Lizmary]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barber Pérez]]></surname>
<given-names><![CDATA[Maikol]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Central &#8220;Marta Abreu&#8221; de Las Villas Centro de Investigaciones de la Informática ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Central &#8220;Marta Abreu&#8221; de Las Villas Facultad de Matemática, Física y Computación ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Central &#8220;Marta Abreu&#8221; de Las Villas Facultad de Matemática, Física y Computación ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>14</volume>
<numero>4</numero>
<fpage>102</fpage>
<lpage>122</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2227-18992020000400102&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2227-18992020000400102&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2227-18992020000400102&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT On various occasions, algorithms to estimate instantaneous-frequency from a cyclic (seasonal) sequence to detect slow changes are needed. That is the case of the estimation of the variations of the respiratory rate for diagnostic purposes. There are a few possible procedures to estimate such an instantaneous-frequency, but without a thorough assessment to compute the respiration rate from a volumetric surrogate signal. This paper discusses the implementation of some algorithms for instantaneous-frequency estimation in MATLAB, comparing their performance from known synthetic signals, which resemble real-world respiratory signals, by using the goodness of fit parameters. We used a method based on the first conditional spectral moment of the time-frequency distribution of the input signal x, and other using the derivative of the phase of the analytic signal of x (found using the Hilbert transform). We also used methods based on second-order auto-regressive models. We computed the goodness of fit (maximum absolute and mean-squared errors) between the estimated and the expected ideal instantaneous-frequencies. The root MUSIC algorithm outperforms the others under assessment, showing its superiority for instantaneous-respiratory frequency estimation from a volumetric surrogate signal.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN En varias ocasiones se necesitan algoritmos para estimar la frecuencia instantánea a partir de una secuencia cíclica (estacional) para detectar cambios lentos. Ese es el caso de la estimación de las variaciones de la frecuencia respiratoria con fines de diagnóstico. Hay unos pocos procedimientos posibles para estimar esa frecuencia instantánea, pero sin una evaluación exhaustiva para calcular la frecuencia respiratoria a partir de una señal sustitutiva volumétrica. En este documento se analiza la aplicación de algunos algoritmos para la estimación de la frecuencia instantánea en MATLAB, comparando su rendimiento a partir de señales sintéticas conocidas, que se asemejan a las señales respiratorias del mundo real, mediante el uso de la bondad de los parámetros de ajuste. Utilizamos un método basado en el primer momento espectral condicional de la distribución tiempo-frecuencia de la señal de entrada x, y otro utilizando la derivada de la fase de la señal analítica de x (que se encuentra utilizando la transformada de Hilbert). También utilizamos métodos basados en modelos autorregresivos de segundo orden. Calculamos la bondad del ajuste (errores máximos absolutos y cuadrados medios) entre las frecuencias instantáneas estimadas y las ideales esperadas. El algoritmo de la raíz MUSIC supera a los otros que se están evaluando, mostrando su superioridad para la estimación de la frecuencia respiratoria instantánea a partir de una señal sustitutiva volumétrica.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Respiratory signals]]></kwd>
<kwd lng="en"><![CDATA[Instantaneous-frequency estimation]]></kwd>
<kwd lng="en"><![CDATA[Time-frequency distributions]]></kwd>
<kwd lng="en"><![CDATA[Hilbert transform]]></kwd>
<kwd lng="en"><![CDATA[Auto-regressive models]]></kwd>
<kwd lng="en"><![CDATA[root MUSIC]]></kwd>
<kwd lng="es"><![CDATA[Señales respiratorias]]></kwd>
<kwd lng="es"><![CDATA[Estimación de la frecuencia instantánea]]></kwd>
<kwd lng="es"><![CDATA[Distribuciones tiempo-frecuencia]]></kwd>
<kwd lng="es"><![CDATA[Transformada de Hilbert]]></kwd>
<kwd lng="es"><![CDATA[Modelos autorregresivos]]></kwd>
<kwd lng="es"><![CDATA[raíz MUSIC]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Abbas]]></surname>
<given-names><![CDATA[a. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Heimann]]></surname>
<given-names><![CDATA[k]]></given-names>
</name>
<name>
<surname><![CDATA[Jergus]]></surname>
<given-names><![CDATA[k]]></given-names>
</name>
<name>
<surname><![CDATA[Orlikowsky]]></surname>
<given-names><![CDATA[t]]></given-names>
</name>
<name>
<surname><![CDATA[Leonhardt]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Neonatal non-contact respiratory monitoring based on real-time infrared thermography.]]></article-title>
<source><![CDATA[Biomedical engineering online]]></source>
<year>2011</year>
<volume>10</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>93</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[AL&#8208;Khalidi]]></surname>
<given-names><![CDATA[F. Q]]></given-names>
</name>
<name>
<surname><![CDATA[Saatchi]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Burke]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Elphick]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Tan]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Respiration rate monitoring methods: A review.]]></article-title>
<source><![CDATA[Pediatric pulmonology]]></source>
<year>2011</year>
<volume>46</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>523-9</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Auger]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Flandrin]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Gonçalvès]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Lemoine]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
</person-group>
<source><![CDATA[Time-frequency toolbox]]></source>
<year>1996</year>
<page-range>46</page-range><publisher-name><![CDATA[CNRS France-Rice University]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Boashash]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estimating and interpreting the instantaneous frequency of a signal]]></article-title>
<source><![CDATA[Part 1: Fundamentals. Proc. Ieee]]></source>
<year>1992</year>
<volume>80</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>520-38</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Boashash]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estimating and interpreting the instantaneous frequency of a signal -]]></article-title>
<source><![CDATA[Part 2: Algorithms and applications. Proc. IEEE,]]></source>
<year>1992</year>
<volume>80</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>540-68</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Freundlich]]></surname>
<given-names><![CDATA[J. J]]></given-names>
</name>
<name>
<surname><![CDATA[Erickson]]></surname>
<given-names><![CDATA[J. C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Electrical impedance pneumography for simple nonrestrictive continuous monitoring of respiratory rate, rhythm and tidal volume for surgical patients]]></article-title>
<source><![CDATA[Chest]]></source>
<year>1974</year>
<volume>65</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>181-4</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hill]]></surname>
<given-names><![CDATA[S. L]]></given-names>
</name>
<name>
<surname><![CDATA[Blackburn]]></surname>
<given-names><![CDATA[J. P]]></given-names>
</name>
<name>
<surname><![CDATA[Williams]]></surname>
<given-names><![CDATA[T. R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Measurement of respiratory flow by inductance pneumography.]]></article-title>
<source><![CDATA[Medical and Biological Engineering and Computing]]></source>
<year>1982</year>
<volume>20</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>517-8</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[N. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Long]]></surname>
<given-names><![CDATA[S. R]]></given-names>
</name>
<name>
<surname><![CDATA[Arnold]]></surname>
<given-names><![CDATA[K. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Blank]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[On instantaneous frequency.]]></article-title>
<source><![CDATA[Advances in adaptive data analysis]]></source>
<year>2009</year>
<volume>1</volume>
<numero>02</numero>
<issue>02</issue>
<page-range>177-229</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jeyhani]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Vuorinen]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Mäntysalo]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Vehkaoja]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of simple algorithms for estimating respiration rate from electrical impedance pneumography signals in wearable devices.]]></article-title>
<source><![CDATA[Health and Technology]]></source>
<year>2017</year>
<volume>7</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>21-31</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kowalski]]></surname>
<given-names><![CDATA[m]]></given-names>
</name>
<name>
<surname><![CDATA[meynard]]></surname>
<given-names><![CDATA[a]]></given-names>
</name>
<name>
<surname><![CDATA[wu]]></surname>
<given-names><![CDATA[h. T]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Convex optimization approach to signals with fast varying instantaneous frequency.]]></article-title>
<source><![CDATA[Applied and computational harmonic analysis]]></source>
<year>2018</year>
<volume>44</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>89-122</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[S. Y]]></given-names>
</name>
</person-group>
<source><![CDATA[Respiratory Rate Estimation Based on Spectrum Decomposition]]></source>
<year>2018</year>
<publisher-name><![CDATA[Preprints]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Leonard]]></surname>
<given-names><![CDATA[P. A]]></given-names>
</name>
<name>
<surname><![CDATA[Douglas]]></surname>
<given-names><![CDATA[J. G]]></given-names>
</name>
<name>
<surname><![CDATA[Grubb]]></surname>
<given-names><![CDATA[N. R]]></given-names>
</name>
<name>
<surname><![CDATA[Clifton]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Addison]]></surname>
<given-names><![CDATA[P. S]]></given-names>
</name>
<name>
<surname><![CDATA[Watson]]></surname>
<given-names><![CDATA[J. N]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A fully automated algorithm for the determination of respiratory rate from the photoplethysmogram.]]></article-title>
<source><![CDATA[Journal of clinical monitoring and computing]]></source>
<year>2006</year>
<volume>20</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>33-6</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mirmohamadsadeghi]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Vesin]]></surname>
<given-names><![CDATA[J. M]]></given-names>
</name>
</person-group>
<source><![CDATA[Respiratory rate estimation from the ECG using an instantaneous frequency tracking algorithm.]]></source>
<year>2014</year>
<volume>14</volume>
<page-range>66-72</page-range><publisher-name><![CDATA[Biomedical Signal Processing and Control]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mirmohamadsadeghi]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Fallet]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Moser]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Braun]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Vesin]]></surname>
<given-names><![CDATA[J. M]]></given-names>
</name>
</person-group>
<source><![CDATA[Real-time respiratory rate estimation using imaging photoplethysmography inter-beat intervals]]></source>
<year>2016</year>
<page-range>861-4</page-range><publisher-name><![CDATA[In 2016 Computing in Cardiology Conference (CinC): IEEE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nejadgholi]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Rajan]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Bolic]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<source><![CDATA[Time-frequency based contactless estimation of vital signs of human while walking using PMCW radar]]></source>
<year>2016</year>
<page-range>1-6</page-range><publisher-name><![CDATA[2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), IEEE]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[O&#8217;shea]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A new technique for instantaneous frequency rate estimation]]></article-title>
<source><![CDATA[IEEE Signal Processing Letters]]></source>
<year>2002</year>
<volume>9</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>251-2</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Paz Reyes]]></surname>
<given-names><![CDATA[M. E]]></given-names>
</name>
<name>
<surname><![CDATA[Dorta_Palmero]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Leon Diaz]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Aragon]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Taboada-Crispi]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Computer Vision-Based Estimation of Respiration Signals]]></article-title>
<source><![CDATA[IFMBE Proceedings]]></source>
<year>2019</year>
<volume>75</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>252-61</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ren]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Naishadham]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[LIU]]></surname>
<given-names><![CDATA[Q]]></given-names>
</name>
<name>
<surname><![CDATA[Fathy]]></surname>
<given-names><![CDATA[A. E]]></given-names>
</name>
</person-group>
<source><![CDATA[Non-invasive detection of cardiac and respiratory rates from stepped frequency continuous wave radar measurements using the state space method.]]></source>
<year>2015</year>
<page-range>1-4</page-range><publisher-name><![CDATA[In 2015 Ieee MTT-S International Microwave Symposium]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Reyes]]></surname>
<given-names><![CDATA[B. A]]></given-names>
</name>
<name>
<surname><![CDATA[Reljin]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Kong]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Nam]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Chon]]></surname>
<given-names><![CDATA[K. H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Tidal volume and instantaneous respiration rate estimation using a volumetric surrogate signal acquired via a smartphone camera]]></article-title>
<source><![CDATA[IEEE journal of biomedical and health informatics]]></source>
<year>2017</year>
<volume>21</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>764-77</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Thurnheer]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Xie]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[bloch]]></surname>
<given-names><![CDATA[k. E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Accuracy of nasal cannula pressure recordings for assessment of ventilation during sleep]]></article-title>
<source><![CDATA[American journal of respiratory and critical care medicine]]></source>
<year>2001</year>
<volume>164</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>1914-9</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vázquez-Segura]]></surname>
<given-names><![CDATA[J. A]]></given-names>
</name>
<name>
<surname><![CDATA[Mejía-Rodríguez]]></surname>
<given-names><![CDATA[A. R]]></given-names>
</name>
<name>
<surname><![CDATA[Reyes]]></surname>
<given-names><![CDATA[B. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estimación Óptica Remota de la Actividad y Frecuencia Respiratoria durante Diversas Maniobras Respiratorias.]]></article-title>
<source><![CDATA[In Memorias del Congreso Nacional de Ingeniería Biomédica]]></source>
<year>2018</year>
<volume>5</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>114-7</page-range><publisher-loc><![CDATA[Mexico ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Verginis]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Davey]]></surname>
<given-names><![CDATA[M. J]]></given-names>
</name>
<name>
<surname><![CDATA[Horne]]></surname>
<given-names><![CDATA[R. S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Scoring respiratory events in paediatric patients: Evaluation of nasal pressure and thermistor recordings separately and in combination]]></article-title>
<source><![CDATA[Sleep medicine]]></source>
<year>2010</year>
<volume>11</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>400-5</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Von Schéele]]></surname>
<given-names><![CDATA[B. H. C]]></given-names>
</name>
<name>
<surname><![CDATA[Von Schéele]]></surname>
<given-names><![CDATA[I. A. M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The measurement of respiratory and metabolic parameters of patients and controls before and after incremental exercise on bicycle: supporting the effort syndrome hypothesis?.]]></article-title>
<source><![CDATA[Applied Psychophysiology and Biofeedback]]></source>
<year>1999</year>
<volume>24</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>167-77</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[F. T]]></given-names>
</name>
<name>
<surname><![CDATA[Chan]]></surname>
<given-names><![CDATA[H. L]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[C. L]]></given-names>
</name>
<name>
<surname><![CDATA[JIAN]]></surname>
<given-names><![CDATA[H. M]]></given-names>
</name>
<name>
<surname><![CDATA[LIN]]></surname>
<given-names><![CDATA[S. H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Instantaneous respiratory estimation from thoracic impedance by empirical mode decomposition]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2015</year>
<volume>15</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>16372-87</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
