Aplicación de métodos acústicos lineales y no lineales en parálisis cordales unilaterales

Autores:
Elisei, Natalia Gabriela
Evin, Diego Alexis
Goméz Fernández, Francisco
Gurlekian, Jorge Alberto
Tipo de recurso:
Article of journal
Fecha de publicación:
2014
Institución:
Corporación Universitaria Iberoamericana
Repositorio:
Repositorio Ibero
Idioma:
spa
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oai:repositorio.ibero.edu.co:001/2996
Acceso en línea:
https://repositorio.ibero.edu.co/handle/001/2996
https://arete.ibero.edu.co/article/view/354
Palabra clave:
Algorithms
Vocal cord paralysis
Analytical methods
Algoritmos
Parálisis de los pliegues vocales
Técnicas de análisis
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openAccess
License
http://purl.org/coar/access_right/c_abf2
id IBERO2_b152be85295647c01fbe6908d6303f88
oai_identifier_str oai:repositorio.ibero.edu.co:001/2996
network_acronym_str IBERO2
network_name_str Repositorio Ibero
repository_id_str
dc.title.spa.fl_str_mv Aplicación de métodos acústicos lineales y no lineales en parálisis cordales unilaterales
dc.title.translated.eng.fl_str_mv Application of acoustic methods linear and nonlinear in chordal unilateral paralysis
title Aplicación de métodos acústicos lineales y no lineales en parálisis cordales unilaterales
spellingShingle Aplicación de métodos acústicos lineales y no lineales en parálisis cordales unilaterales
Algorithms
Vocal cord paralysis
Analytical methods
Algoritmos
Parálisis de los pliegues vocales
Técnicas de análisis
title_short Aplicación de métodos acústicos lineales y no lineales en parálisis cordales unilaterales
title_full Aplicación de métodos acústicos lineales y no lineales en parálisis cordales unilaterales
title_fullStr Aplicación de métodos acústicos lineales y no lineales en parálisis cordales unilaterales
title_full_unstemmed Aplicación de métodos acústicos lineales y no lineales en parálisis cordales unilaterales
title_sort Aplicación de métodos acústicos lineales y no lineales en parálisis cordales unilaterales
dc.creator.fl_str_mv Elisei, Natalia Gabriela
Evin, Diego Alexis
Goméz Fernández, Francisco
Gurlekian, Jorge Alberto
dc.contributor.author.spa.fl_str_mv Elisei, Natalia Gabriela
Evin, Diego Alexis
Goméz Fernández, Francisco
Gurlekian, Jorge Alberto
dc.subject.eng.fl_str_mv Algorithms
Vocal cord paralysis
Analytical methods
topic Algorithms
Vocal cord paralysis
Analytical methods
Algoritmos
Parálisis de los pliegues vocales
Técnicas de análisis
dc.subject.spa.fl_str_mv Algoritmos
Parálisis de los pliegues vocales
Técnicas de análisis
publishDate 2014
dc.date.accessioned.none.fl_str_mv 2014-10-06 00:00:00
2022-06-14T20:55:13Z
dc.date.available.none.fl_str_mv 2014-10-06 00:00:00
2022-06-14T20:55:13Z
dc.date.issued.none.fl_str_mv 2014-10-06
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
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dc.type.content.spa.fl_str_mv Text
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dc.type.local.spa.fl_str_mv Sección Investigativa
dc.type.local.eng.fl_str_mv Investigative Section
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dc.identifier.eissn.none.fl_str_mv 2463-2252
dc.identifier.issn.none.fl_str_mv 1657-2513
dc.identifier.uri.none.fl_str_mv https://repositorio.ibero.edu.co/handle/001/2996
dc.identifier.url.none.fl_str_mv https://arete.ibero.edu.co/article/view/354
identifier_str_mv 2463-2252
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url https://repositorio.ibero.edu.co/handle/001/2996
https://arete.ibero.edu.co/article/view/354
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language spa
dc.relation.bitstream.none.fl_str_mv https://arete.ibero.edu.co/article/download/354/319
dc.relation.citationedition.spa.fl_str_mv Núm. 1 , Año 2012
dc.relation.citationendpage.none.fl_str_mv 32
dc.relation.citationissue.spa.fl_str_mv 1
dc.relation.citationstartpage.none.fl_str_mv 24
dc.relation.citationvolume.spa.fl_str_mv 12
dc.relation.ispartofjournal.spa.fl_str_mv Areté
dc.relation.references.spa.fl_str_mv Aasen, T. (1993). Chaos theory applied to the caloric response of the vestibular system. Computers and Biomedical Research (26):556-567.
Bergé, P., & Pomeau y Vidal, C. (1984). Orderwithin chaos: towards a deterministic approach to turbulence. New York: U.S.A.,Wiley.
Berry, D. A., Herzel, H., Titze, I. R., & Story, B.H. (1996). Bifurcations in excised larynx experiments. Journal of Voice (10): 29-138.
Bielamowicz, S., Kreiman, J., Gerratt, B. R.,Dauer, M. S., & Berke, G. S. (1996). Comparison of voice analysis systems for perturbation measurements. J. Speech Hear.Res. (39): 126–134.
Eckmann, J. P., & Ruelle, D. (1992). Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamical systems.Physica D (56), 185–187.
Giovanni, A., Ouaknine, M., & Triglia, J. M.(1999). Determination of largest Lyapunovexponents of vocal signal: application to unilateral laryngeal paralysis. J. Voice (13:341-354.
Gstoettner, W., Baumgartner, W., Hamzavi, J.,Felix, D., Svozil, K., Meyer, R., y otros(1996). Auditory fractal random signals:Experimental data and clinical application.Acta Otolaryngol (116): 222-223.
Herzel, H., Berry, D., Titze, I. R., & Saleh, M.(1994). Analysis of vocal disorders with methods from nonlinear dynamics. J. Speach Hear. Res. (37): 1008-1019.
Hilborn, R. (2001). Chaos and Nonlinear Dynamics.An Introduction for Scientists and Engineers(2nd ed.). Oxford Univerity Press.
Hirano, M. (1981). Clinical Examination of thevoice. New York: U.S.A. Springer Verlag.
Holzfuss, J., & Lauterborn, W. (1989). Lyapunov exponents from a time series of acousticchaos. Phys. Rev. A (39): 2146–2152.
Horii, Y. (1979). Fundamental Frequency Perturbation Observed in Sustained Phonation.Journal of Speech and Hearing Research (22): 5-19.
Jiang, J., Zhang, Y., & Ford, C. N. (2003).Nonlinear dynamics of phonations in excised larynx experiments. J. Acoust. Soc. Am114 (4 pt1): 2198-205
Kumar, A., & Mullick, S. K. (1996). Nonlinear dynamical analysis of speech. J.Acoust.Soc. Am. (100): 615–629.
Milenkovic, P. (1987). Least mean square measures of voice perturbation. J. Speech Hear. Res. (30): 529–538.
Narayanan, S. S., & Alwan, A. A. (1995). A nonlinear dynamical systems analysis of fricative consonants. J. Acoust. Soc. Am. (97):2511.
Peitgen, H. O., Jurgens, H., & Saupe, D. (1992). Chaos and Fractals, New Frontiers of Science.New York: U.S.A. Springer-Verlag.
Titze, I. R. (1995). Workshop on acoustic voice analysis; Summary Statement. National Center for Voice and Speech, Denver.
Titze, I. R., Horii, I., & Scherer, R. C. (1987). Some technical considerations in voice perturbationmeasurements. J Speech HearingResearch (30): 252-260.
Wolf, A., Swift, J. B., Swinney, H. L., & Vastano,J. A. (1985). Determining Lyapunov exponentsfrom a time series. Physica D (16):285–317.
Yu, P., Garrel, R., Nicollas, R., Ouaknine, M.,& Giovanni, A. (2007). Objective VoiceAnalysis in Dysphonic Patients: New Data Including Nonlinear Measurements. FoliaPhoniatr Logop , 1 (59): 20-30.
Yu, P., Ouaknine, M., & Giovanni, A. (2000).Intérêt clinique du calcul des coefficients de Lyapunov pour l’analyse objective desdysphonies. Rev. laryngol. otol. Rhinol, 5(121): 301-305.
Zhang, Y., & Jiang, J. (2003). Nonlinear dynamicanalysis of signal typing of pathologicalhuman voices. Electron. Lett. (39):1021–1023.
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spelling Elisei, Natalia Gabrielac078894c69ec6d76a4f88f64e0c92769500Evin, Diego Alexisfe1479d07295bc773596474d2ec7e857500Goméz Fernández, Francisco80144f5b0eedf9a420ec2c18a14acbb4500Gurlekian, Jorge Alberto76e5ec1e4fcd735a28efc20a31b829115002014-10-06 00:00:002022-06-14T20:55:13Z2014-10-06 00:00:002022-06-14T20:55:13Z2014-10-06application/pdf2463-22521657-2513https://repositorio.ibero.edu.co/handle/001/2996https://arete.ibero.edu.co/article/view/354spaCorporación Universitaria Iberoamericanahttps://arete.ibero.edu.co/article/download/354/319Núm. 1 , Año 20123212412AretéAasen, T. (1993). Chaos theory applied to the caloric response of the vestibular system. Computers and Biomedical Research (26):556-567.Bergé, P., & Pomeau y Vidal, C. (1984). Orderwithin chaos: towards a deterministic approach to turbulence. New York: U.S.A.,Wiley.Berry, D. A., Herzel, H., Titze, I. R., & Story, B.H. (1996). Bifurcations in excised larynx experiments. Journal of Voice (10): 29-138.Bielamowicz, S., Kreiman, J., Gerratt, B. R.,Dauer, M. S., & Berke, G. S. (1996). Comparison of voice analysis systems for perturbation measurements. J. Speech Hear.Res. (39): 126–134.Eckmann, J. P., & Ruelle, D. (1992). Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamical systems.Physica D (56), 185–187.Giovanni, A., Ouaknine, M., & Triglia, J. M.(1999). Determination of largest Lyapunovexponents of vocal signal: application to unilateral laryngeal paralysis. J. Voice (13:341-354.Gstoettner, W., Baumgartner, W., Hamzavi, J.,Felix, D., Svozil, K., Meyer, R., y otros(1996). Auditory fractal random signals:Experimental data and clinical application.Acta Otolaryngol (116): 222-223.Herzel, H., Berry, D., Titze, I. R., & Saleh, M.(1994). Analysis of vocal disorders with methods from nonlinear dynamics. J. Speach Hear. Res. (37): 1008-1019.Hilborn, R. (2001). Chaos and Nonlinear Dynamics.An Introduction for Scientists and Engineers(2nd ed.). Oxford Univerity Press.Hirano, M. (1981). Clinical Examination of thevoice. New York: U.S.A. Springer Verlag.Holzfuss, J., & Lauterborn, W. (1989). Lyapunov exponents from a time series of acousticchaos. Phys. Rev. A (39): 2146–2152.Horii, Y. (1979). Fundamental Frequency Perturbation Observed in Sustained Phonation.Journal of Speech and Hearing Research (22): 5-19.Jiang, J., Zhang, Y., & Ford, C. N. (2003).Nonlinear dynamics of phonations in excised larynx experiments. J. Acoust. Soc. Am114 (4 pt1): 2198-205Kumar, A., & Mullick, S. K. (1996). Nonlinear dynamical analysis of speech. J.Acoust.Soc. Am. (100): 615–629.Milenkovic, P. (1987). Least mean square measures of voice perturbation. J. Speech Hear. Res. (30): 529–538.Narayanan, S. S., & Alwan, A. A. (1995). A nonlinear dynamical systems analysis of fricative consonants. J. Acoust. Soc. Am. (97):2511.Peitgen, H. O., Jurgens, H., & Saupe, D. (1992). Chaos and Fractals, New Frontiers of Science.New York: U.S.A. Springer-Verlag.Titze, I. R. (1995). Workshop on acoustic voice analysis; Summary Statement. National Center for Voice and Speech, Denver.Titze, I. R., Horii, I., & Scherer, R. C. (1987). Some technical considerations in voice perturbationmeasurements. J Speech HearingResearch (30): 252-260.Wolf, A., Swift, J. B., Swinney, H. L., & Vastano,J. A. (1985). Determining Lyapunov exponentsfrom a time series. Physica D (16):285–317.Yu, P., Garrel, R., Nicollas, R., Ouaknine, M.,& Giovanni, A. (2007). Objective VoiceAnalysis in Dysphonic Patients: New Data Including Nonlinear Measurements. FoliaPhoniatr Logop , 1 (59): 20-30.Yu, P., Ouaknine, M., & Giovanni, A. (2000).Intérêt clinique du calcul des coefficients de Lyapunov pour l’analyse objective desdysphonies. Rev. laryngol. otol. Rhinol, 5(121): 301-305.Zhang, Y., & Jiang, J. (2003). Nonlinear dynamicanalysis of signal typing of pathologicalhuman voices. Electron. Lett. (39):1021–1023.info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-sa/4.0/https://arete.ibero.edu.co/article/view/354AlgorithmsVocal cord paralysisAnalytical methodsAlgoritmosParálisis de los pliegues vocalesTécnicas de análisisAplicación de métodos acústicos lineales y no lineales en parálisis cordales unilateralesApplication of acoustic methods linear and nonlinear in chordal unilateral paralysisArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleSección InvestigativaInvestigative Sectionhttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionPublicationOREORE.xmltext/xml2684https://repositorio.ibero.edu.co/bitstreams/80964174-481c-4ba8-979e-fc6ba0bb04a0/download53f51e30c65f68f232b578773fc4adc9MD51001/2996oai:repositorio.ibero.edu.co:001/29962023-03-10 13:05:24.975https://creativecommons.org/licenses/by-nc-sa/4.0/https://repositorio.ibero.edu.coRepositorio Institucional - IBERO.bdigital@metabiblioteca.com