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Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy

2021Journal article Open access
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dc.contributor.authorLeal, Adriana
dc.contributor.authorPinto, Mauro F.
dc.contributor.authorLopes, Fábio
dc.contributor.authorBianchi, Anna M.
dc.contributor.authorHenriques, Jorge
dc.contributor.authorRuano, Maria
dc.contributor.authorde Carvalho, Paulo
dc.contributor.authorDourado, António
dc.contributor.authorTeixeira, César A.
dc.date.accessioned2021-04-05T15:46:25Z
dc.date.available2021-04-05T15:46:25Z
dc.date.issued2021
dc.description.abstractElectrocardiogram (ECG) recordings, lasting hours before epileptic seizures, have been studied in the search for evidence of the existence of a preictal interval that follows a normal ECG trace and precedes the seizure's clinical manifestation. The preictal interval has not yet been clinically parametrized. Furthermore, the duration of this interval varies for seizures both among patients and from the same patient. In this study, we performed a heart rate variability (HRV) analysis to investigate the discriminative power of the features of HRV in the identification of the preictal interval. HRV information extracted from the linear time and frequency domains as well as from nonlinear dynamics were analysed. We inspected data from 238 temporal lobe seizures recorded from 41 patients with drug-resistant epilepsy from the EPILEPSIAE database. Unsupervised methods were applied to the HRV feature dataset, thus leading to a new perspective in preictal interval characterization. Distinguishable preictal behaviour was exhibited by 41% of the seizures and 90% of the patients. Half of the preictal intervals were identified in the 40 min before seizure onset. The results demonstrate the potential of applying clustering methods to HRV features to deepen the current understanding of the preictal state.pt_PT
dc.description.sponsorshipFCT: CISUC -UID/CEC/00326/2020/ SFRH/BD/147862/2019pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1038/s41598-021-85350-ypt_PT
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10400.1/15326
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherNature Researchpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleHeart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1pt_PT
oaire.citation.startPage5987pt_PT
oaire.citation.titleScientific Reportspt_PT
oaire.citation.volume11pt_PT
person.familyNameRuano
person.givenNameMaria
person.identifier.ciencia-id9811-A0DD-D5A5
person.identifier.orcid0000-0002-0014-9257
person.identifier.ridA-8321-2011
person.identifier.scopus-author-id7004483805
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication61fc8492-d73f-46ca-a3a3-4cd762a784e6
relation.isAuthorOfPublication.latestForDiscovery61fc8492-d73f-46ca-a3a3-4cd762a784e6

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