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A computational framework to simulate the endolymph flow due to vestibular rehabilitation maneuvers assessed from accelerometer data

2018Journal article Open access
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dc.contributor.authorSantos, Carla F.
dc.contributor.authorBelinha, Jorge
dc.contributor.authorGentil, Fernanda
dc.contributor.authorParente, Marco
dc.contributor.authorAreias, Bruno
dc.contributor.authorJorge, Renato Natal
dc.date.accessioned2019-07-29T16:35:49Z
dc.date.available2019-07-29T16:35:49Z
dc.date.issued2018
dc.description.abstractVertiginous symptoms are one of the most common symptoms in the world, therefore investing in new ways and therapies to avoid the sense of insecurity during the vertigo episodes is of great interest. The classical maneuvers used during vestibular rehabilitation consist in moving the head in specific ways, but it is not fully understood why those steps solve the problem. To better understand this mechanism, a three-dimensional computational model of the semicircular ducts of the inner ear was built using the finite element method, with the simulation of the fluid flow being obtained using particle methods. To simulate the exact movements performed during rehabilitation, data from an accelerometer were used as input for the boundary conditions in the model. It is shown that the developed model responds to the input data as expected, and the results successfully show the fluid flow of the endolymph behaving coherently as a function of accelerometer data. Numerical results at specific time steps are compared with the corresponding head movement, and both particle velocity and position follow the pattern that would be expected, confirming that the model is working as expected. The vestibular model built is an important starting point to simulate the classical maneuvers of the vestibular rehabilitation allowing to understand what happens in the endolymph during the rehabilitation process, which ultimately may be used to improve the maneuvers and the quality of life of patients suffering from vertigo.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSantos, C. F., Belinha, J., Gentil, F., Parente, M., Areias, B., & Jorge, R. N. (2018). A computational framework to simulate the endolymph flow due to vestibular rehabilitation maneuvers assessed from accelerometer data. Computer Methods in Biomechanics and Biomedical Engineering, 21(6), 461–469. https://doi.org/10.1080/10255842.2018.1479745
dc.identifier.doi10.1080/10255842.2018.1479745pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/14501
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherTaylor & Francispt_PT
dc.relationNORTE-01-0145-FEDER-000022pt_PT
dc.relationNumerical simulation of the vestibular system: biomechanics applied to rehabilitation
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/10255842.2018.1479745pt_PT
dc.subjectAccelerometrypt_PT
dc.subjectEndolymphpt_PT
dc.subjectFinite Element Analysispt_PT
dc.subjectHumanspt_PT
dc.subjectModels, Biologicalpt_PT
dc.subjectQuality of Lifept_PT
dc.subjectSemicircular Canalspt_PT
dc.subjectVertigopt_PT
dc.subjectVestibule, Labyrinthpt_PT
dc.subjectComputer Simulationpt_PT
dc.titleA computational framework to simulate the endolymph flow due to vestibular rehabilitation maneuvers assessed from accelerometer datapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNumerical simulation of the vestibular system: biomechanics applied to rehabilitation
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F108292%2F2015/PT
oaire.citation.endPage469pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage461pt_PT
oaire.citation.titleComputer Methods in Biomechanics and Biomedical Engineeringpt_PT
oaire.citation.volume21pt_PT
person.familyNameGentil Costa
person.givenNameMaria Fernanda
person.identifier.ciencia-id8A1B-AB35-07A4
person.identifier.orcid0000-0002-6521-3475
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationa322f388-4cfc-4430-ae6f-ba10bf53758f
relation.isAuthorOfPublication.latestForDiscoverya322f388-4cfc-4430-ae6f-ba10bf53758f
relation.isProjectOfPublicatione31b069c-8729-495e-ba81-829bcd693c96
relation.isProjectOfPublication.latestForDiscoverye31b069c-8729-495e-ba81-829bcd693c96

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