Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples
6 páginas
- Autores:
-
Simpson, D. M.
Catelli Infantosi, Antonio Fernando
Botero Rosas, D. A.
- Tipo de recurso:
- Fecha de publicación:
- 2001
- Institución:
- Universidad de la Sabana
- Repositorio:
- Repositorio Universidad de la Sabana
- Idioma:
- eng
- OAI Identifier:
- oai:intellectum.unisabana.edu.co:10818/43140
- Acceso en línea:
- https://link.springer.com/article/10.1007/BF02345364
https://link.springer.com/content/pdf/10.1007/BF02345364.pdf
http://hdl.handle.net/10818/43140
- Palabra clave:
- Cerebral blood flow
Transcranial Doppler
EEG
Neonates
Correlation
Missing samples
- Rights
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
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Simpson, D. M.Catelli Infantosi, Antonio FernandoBotero Rosas, D. A.9/2/2020 10:092020-09-02T15:09:34Z2001-02-23Simpson, D.M., Infantosi, A.F.C. & Botero Rosas, D.A. Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples. Med. Biol. Eng. Comput. 39, 428–433 (2001). https://doi.org/10.1007/BF02345364https://link.springer.com/article/10.1007/BF02345364https://link.springer.com/content/pdf/10.1007/BF02345364.pdfhttp://hdl.handle.net/10818/4314010.1007/BF023453646 páginasCross-correlation between cerebral blood flow (CBF) and background EEG activity can indicate the integrity of CBF control under changing metabolic demand. The difficulty of obtaining long, continuous recordings of good quality for both EEG and CBF signals in a clinical setting is overcome, in the present work, by an algorithm that allows the cross-correlation function (CCF) to be estimated when the signals are interrupted by segments of missing data. Methods are also presented to test the statistical significance of the CCF obtained in this way and to estimate the power of this test, both based on Monte Carlo simulations. The techniques are applied to the time-series given by the mean CBF velocity (recorded by transcranial Doppler) and the mean power of the EEG signal, obtained in 1 s intervals from nine sleeping neonates. The peak of the CCF is found to be low (≤0.35), but reached statistical significance (p<0.05) in five of the nine subjects. The CCF further indicates a delay of 4–6s between changes in EEG and CBF velocity. The proposed signal-analysis methods prove effective and convenient and can be of wide use in dealing with the common problem of missing samples in biological signals.application/pdfengMedical and Biological Engineering and ComputingMedical and Biological Engineering and Computing volume 39, pages428–433(2001)Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf2Universidad de La SabanaIntellectum Repositorio Universidad de La SabanaCerebral blood flowTranscranial DopplerEEGNeonatesCorrelationMissing samplesEstimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samplesarticlepublishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://intellectum.unisabana.edu.co/bitstream/10818/43140/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-8498https://intellectum.unisabana.edu.co/bitstream/10818/43140/3/license.txtf52a2cfd4df262e08e9b300d62c85cabMD5310818/43140oai:intellectum.unisabana.edu.co:10818/431402022-05-10 05:20:13.092Intellectum Universidad de la Sabanacontactointellectum@unisabana.edu.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 |
dc.title.es_CO.fl_str_mv |
Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples |
title |
Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples |
spellingShingle |
Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples Cerebral blood flow Transcranial Doppler EEG Neonates Correlation Missing samples |
title_short |
Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples |
title_full |
Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples |
title_fullStr |
Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples |
title_full_unstemmed |
Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples |
title_sort |
Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples |
dc.creator.fl_str_mv |
Simpson, D. M. Catelli Infantosi, Antonio Fernando Botero Rosas, D. A. |
dc.contributor.author.none.fl_str_mv |
Simpson, D. M. Catelli Infantosi, Antonio Fernando Botero Rosas, D. A. |
dc.subject.es_CO.fl_str_mv |
Cerebral blood flow Transcranial Doppler EEG Neonates Correlation Missing samples |
topic |
Cerebral blood flow Transcranial Doppler EEG Neonates Correlation Missing samples |
description |
6 páginas |
publishDate |
2001 |
dc.date.issued.none.fl_str_mv |
2001-02-23 |
dc.date.available.none.fl_str_mv |
2020-09-02T15:09:34Z |
dc.date.accessioned.none.fl_str_mv |
9/2/2020 10:09 |
dc.type.en.fl_str_mv |
article |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 |
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publishedVersion |
dc.identifier.citation.es_CO.fl_str_mv |
Simpson, D.M., Infantosi, A.F.C. & Botero Rosas, D.A. Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples. Med. Biol. Eng. Comput. 39, 428–433 (2001). https://doi.org/10.1007/BF02345364 |
dc.identifier.other.none.fl_str_mv |
https://link.springer.com/article/10.1007/BF02345364 https://link.springer.com/content/pdf/10.1007/BF02345364.pdf |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10818/43140 |
dc.identifier.doi.none.fl_str_mv |
10.1007/BF02345364 |
identifier_str_mv |
Simpson, D.M., Infantosi, A.F.C. & Botero Rosas, D.A. Estimation and significance testing of cross-correlation between cerebral blood flow velocity and background electro-encephalograph activity in signals with missing samples. Med. Biol. Eng. Comput. 39, 428–433 (2001). https://doi.org/10.1007/BF02345364 10.1007/BF02345364 |
url |
https://link.springer.com/article/10.1007/BF02345364 https://link.springer.com/content/pdf/10.1007/BF02345364.pdf http://hdl.handle.net/10818/43140 |
dc.language.iso.es_CO.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.none.fl_str_mv |
Medical and Biological Engineering and Computing volume 39, pages428–433(2001) |
dc.rights.*.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International |
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http://purl.org/coar/access_right/c_abf2 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
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application/pdf |
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Medical and Biological Engineering and Computing |
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Universidad de La Sabana Intellectum Repositorio Universidad de La Sabana |
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Universidad de la Sabana |
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