Singular Spectrum Analysis of pupillometry data. Identification of the sympathetic and parasympathetic activity

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Franco, Ana Neves, Carlos Marques Quintao, Carla Vigario, Ricardo Vieira, Pedro
dc.contributor.editor Fantoni, A
dc.contributor.editor Ferreira, AJ 2017-05-11T09:05:24Z 2017-05-11T09:05:24Z 2014
dc.identifier.citation Franco , A , Neves , C M , Quintao , C , Vigario , R & Vieira , P 2014 , Singular Spectrum Analysis of pupillometry data. Identification of the sympathetic and parasympathetic activity . in A Fantoni & A J Ferreira (eds) , Conference on Electronics, Telecommunications and Computers – CETC 2013 . Procedia Technology , vol. 17 , Elsevier Science B.V. , pp. 273-280 , Conference on Electronics, Telecommunications and Computers , Lisbon , Portugal , 5-6 December . DOI: 10.1016/j.protcy.2014.10.237 en
dc.identifier.issn 2212-0173
dc.identifier.other PURE UUID: b819d7f6-1b72-4629-981d-9bde681f53c5
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE FILEURL:
dc.description.abstract The pupil shows a fast dynamical adaptation to external light changes, in order to potentiate visual perception. It contracts in high luminosity environments, so as to limit the quantity of photons that reach the retina (miosis) and dilates in environments with little luminosity, thus increasing the number of photons in the retina (mydriasis). Hence, the pupil acts as a normalizer of the quantity of light that enters the optical system. These pupillary movements are controlled by the action of smooth muscles, which are associated with the sympathetic (SNS) and parasympathetic autonomous nervous systems (PsNS). Therefore, the study of the pupillary dynamics can lead to inferences on the functioning of those two antagonist systems and their involvement in pupillary control. In addition, our study may prove clinically helpful in determining a patient's level of consciousness, as well as identifying certain diseases, such as sleep disorders, photophobia, schizophrenia, Adie syndrome, Alzheimer's and Parkinson's disease. With a clear goal in its clinical applications, we focus our research in the identification of the frequency intervals pertaining to the action of the autonomous nervous system, as well as their individual sympathetic and parasympathetic roles. We analyze high-resolution, non-invasive pupillometric signals, both in a basal condition and as a response to visual flashes or to the application of a cold stimulus. We use Singular Spectrum Analysis (SSA) to identify the frequencies of interest related to the actions of the SNS and PsNS. In addition, and as a complementary means of frequency analysis, we also use the more classical wavelets analysis. We find out that SSA is an ideal tool for the identification of the desired frequencies in stake. The agreement between the outcomes of both analyses supports our conclusions regarding the autonomous nervous system. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license ( en
dc.format.extent 8
dc.format.extent 273-280
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartof Conference on Electronics, Telecommunications and Computers en
dc.relation.ispartofseries Conference on Electronics, Telecommunications and Computers – CETC 2013 en
dc.relation.ispartofseries Procedia Technology en
dc.relation.ispartofseries Volume 17 en
dc.rights openAccess en
dc.subject.other 113 Computer and information sciences en
dc.title Singular Spectrum Analysis of pupillometry data. Identification of the sympathetic and parasympathetic activity en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department NOVA University of Lisbon
dc.contributor.department University of Lisbon
dc.contributor.department Department of Computer Science en
dc.subject.keyword pupil
dc.subject.keyword pupilometry
dc.subject.keyword singular spectrum analysis
dc.subject.keyword frequency
dc.subject.keyword sympathetic nervous system
dc.subject.keyword parasympathetic nervous system
dc.subject.keyword wavelets
dc.subject.keyword PRINCIPAL DYNAMIC-MODES
dc.subject.keyword HEART-RATE-VARIABILITY
dc.subject.keyword NERVE ACTIVITY
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201705114193
dc.identifier.doi 10.1016/j.protcy.2014.10.237
dc.type.version publishedVersion

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search archive

Advanced Search

article-iconSubmit a publication


My Account