Nonlinear digital signal processing in mental health : Characterization of major depression using instantaneous entropy measures of heartbeat dynamics
8 p.
- Autores:
-
Valenza, Gaetano
García, Ronald G.
Citi, Luca
Scilingo, Enzo P.
Tomaz, Carlos A.
Barbieri, Riccardo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2015
- Institución:
- Universidad de Santander
- Repositorio:
- Repositorio Universidad de Santander
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.udes.edu.co:001/3263
- Acceso en línea:
- https://repositorio.udes.edu.co/handle/001/3263
- Palabra clave:
- Nonlinear
Heart rate variability
Instantaneous entropy
Point process
Wiener-Volterraseries Series
Laguerre expansion
- Rights
- openAccess
- License
- Derechos Reservados - Universidad de Santander, 2015
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| dc.title.eng.fl_str_mv |
Nonlinear digital signal processing in mental health : Characterization of major depression using instantaneous entropy measures of heartbeat dynamics |
| title |
Nonlinear digital signal processing in mental health : Characterization of major depression using instantaneous entropy measures of heartbeat dynamics |
| spellingShingle |
Nonlinear digital signal processing in mental health : Characterization of major depression using instantaneous entropy measures of heartbeat dynamics Nonlinear Heart rate variability Instantaneous entropy Point process Wiener-Volterraseries Series Laguerre expansion |
| title_short |
Nonlinear digital signal processing in mental health : Characterization of major depression using instantaneous entropy measures of heartbeat dynamics |
| title_full |
Nonlinear digital signal processing in mental health : Characterization of major depression using instantaneous entropy measures of heartbeat dynamics |
| title_fullStr |
Nonlinear digital signal processing in mental health : Characterization of major depression using instantaneous entropy measures of heartbeat dynamics |
| title_full_unstemmed |
Nonlinear digital signal processing in mental health : Characterization of major depression using instantaneous entropy measures of heartbeat dynamics |
| title_sort |
Nonlinear digital signal processing in mental health : Characterization of major depression using instantaneous entropy measures of heartbeat dynamics |
| dc.creator.fl_str_mv |
Valenza, Gaetano García, Ronald G. Citi, Luca Scilingo, Enzo P. Tomaz, Carlos A. Barbieri, Riccardo |
| dc.contributor.author.spa.fl_str_mv |
Valenza, Gaetano García, Ronald G. Citi, Luca Scilingo, Enzo P. Tomaz, Carlos A. Barbieri, Riccardo |
| dc.subject.proposal.eng.fl_str_mv |
Nonlinear Heart rate variability Instantaneous entropy Point process Wiener-Volterraseries Series Laguerre expansion |
| topic |
Nonlinear Heart rate variability Instantaneous entropy Point process Wiener-Volterraseries Series Laguerre expansion |
| description |
8 p. |
| publishDate |
2015 |
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2015-03-13 |
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2019-07-03T17:45:59Z |
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2019-07-03T17:45:59Z |
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10.3389/fphys.2015.00074 |
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1664-042X |
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https://repositorio.udes.edu.co/handle/001/3263 |
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10.3389/fphys.2015.00074 1664-042X |
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https://repositorio.udes.edu.co/handle/001/3263 |
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eng |
| language |
eng |
| dc.relation.ispartof.eng.fl_str_mv |
Frontiers in Physiology |
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Derechos Reservados - Universidad de Santander, 2015 |
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Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) |
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openAccess |
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Valenza, Gaetano7572ce00-01b2-482e-ac96-7052194765f2-1García, Ronald G.41c4b822-ac96-4ffc-ac48-9d3227b75257-1Citi, Lucadd30337a-a123-4864-8995-0039b0cbd33e-1Scilingo, Enzo P.75fa8736-e19a-43e1-a9c2-e338e53c8ed0-1Tomaz, Carlos A.76752efe-2bbe-48dd-9e78-7ed83f845630-1Barbieri, Riccardo55ed48ad-21cc-4907-831a-b87ac479a69c-12019-07-03T17:45:59Z2019-07-03T17:45:59Z2015-03-138 p.Nonlinear digital signal processing methods that address system complexity have provided useful computational tools for helping in the diagnosis and treatment of a wide range of pathologies. More specifically, nonlinear measures have been successful this study, we propose the use of instantaneous measures of entropy, namely the inhomogeneous point-process approximate entropy (ipApEn) and the inhomogeneous point-process sample entropy (ipSampEn), to describe a novel characterization of MD patients undergoing affective elicitation. Because these measures are built within a nonlinear point-process model, they allow for the assessment of complexity in cardiovascular dynamics at each moment in time. Heartbeat dynamics were characterized from 48 healthy controls and 48 patients with MD while emotionally elicited through either neutral or arousing audiovisual stimuli. Experimental results coming from the arousing tasks show that ipApEn measures are able to instantaneously track heartbeat complexity as well as discern between healthy subjects and MD patients. Conversely, standard heart rate variability (HRV) analysis performed in both time and frequency domains did not show any statistical significance. We conclude that measures of entropy based on non linear point-process models might contribute to devising useful computational tools for care in mental healthapplication/pdf10.3389/fphys.2015.000741664-042Xhttps://repositorio.udes.edu.co/handle/001/3263engFrontiers in PhysiologyDerechos Reservados - Universidad de Santander, 2015info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2https://www.frontiersin.org/articles/10.3389/fphys.2015.00074/fullNonlinearHeart rate variabilityInstantaneous entropyPoint processWiener-Volterraseries SeriesLaguerre expansionNonlinear digital signal processing in mental health : Characterization of major depression using instantaneous entropy measures of heartbeat dynamicsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85PublicationTHUMBNAILNonlinear digital signal processing in mental health. Characterization of major depression using instantaneous entropy measures of heartbeat dynamics.pdf.jpgNonlinear digital signal processing in mental health. Characterization of major depression using instantaneous entropy measures of heartbeat dynamics.pdf.jpgGenerated Thumbnailimage/jpeg1789https://repositorio.udes.edu.co/bitstreams/1c29d4bd-e06f-4fa7-9cf9-e224348c05b7/downloade6e663055855ced0bd29e57c7d28eb08MD54TEXTNonlinear digital signal processing in mental health. Characterization of major depression using instantaneous entropy measures of heartbeat dynamics.pdf.txtNonlinear digital signal processing in mental health. Characterization of major depression using instantaneous entropy measures of heartbeat dynamics.pdf.txtExtracted texttext/plain44594https://repositorio.udes.edu.co/bitstreams/87c4f1c8-9d85-4aa1-8a22-87882b88f150/download6467a24df1c558f858325ecc4ce5ae0dMD53LICENSElicense.txtlicense.txttext/plain; charset=utf-859https://repositorio.udes.edu.co/bitstreams/b65afea3-61bc-4f86-9b9b-120c0eebb8cb/download38d94cf55aa1bf2dac1a736ac45c881cMD52ORIGINALNonlinear digital signal processing in mental health. Characterization of major depression using instantaneous entropy measures of heartbeat dynamics.pdfNonlinear digital signal processing in mental health. Characterization of major depression using instantaneous entropy measures of heartbeat dynamics.pdfapplication/pdf296886https://repositorio.udes.edu.co/bitstreams/4280b30a-0010-4571-9c1a-0ea82e83a443/download5b774456c9bfe319eb82f24ea0ebaf9cMD55001/3263oai:repositorio.udes.edu.co:001/32632023-10-10 13:22:18.423https://creativecommons.org/licenses/by-nc/4.0/Derechos Reservados - Universidad de Santander, 2015https://repositorio.udes.edu.coRepositorio Universidad de Santandersoporte@metabiblioteca.comTGljZW5jaWEgZGUgUHVibGljYWNpw7NuIFVERVMKRGlyZWN0cmljZXMgZGUgVVNPIHkgQUNDRVNPCgo= |