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A head-mounted goggle-type video-oculography system for vestibular function testing

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dc.contributor.authorKong, Youngsun-
dc.contributor.authorLee, Suhwan-
dc.contributor.authorLee, Jinseok-
dc.contributor.authorNam, Yunyoung-
dc.date.accessioned2021-08-11T12:24:08Z-
dc.date.available2021-08-11T12:24:08Z-
dc.date.issued2018-04-27-
dc.identifier.issn1687-5176-
dc.identifier.issn1687-5281-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/6038-
dc.description.abstractDisorders of the vestibular system possibly decrease vision, causing abnormal nystagmus and dizziness. To diagnose abnormal nystagmus, various studies have been reported including the use of rotating chair tests and videonystagmography. However, these tests are unsuitable for home use due to their high costs. Thus, a low-cost video-oculography system is necessary to obtain clinical features at home. In this paper, we present a goggle-type low-cost video-oculography system using an infrared camera and Raspberry Pi board for tracking the pupils and evaluating a vestibular system. Horizontal eye movement is derived from video data obtained from an infrared camera and infrared light-emitting diodes, and the velocity of head rotation is obtained from a gyroscope sensor. Each pupil was extracted using a morphology operation and a contour detection method. Rotatory chair tests were conducted with our developed device. To evaluate our system, gain, symmetry, and phase were measured and compared System 2000.-
dc.language영어-
dc.language.isoENG-
dc.publisherHindawi Publishing Corporation-
dc.titleA head-mounted goggle-type video-oculography system for vestibular function testing-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1186/s13640-018-0266-x-
dc.identifier.scopusid2-s2.0-85046106881-
dc.identifier.wosid000432551000001-
dc.identifier.bibliographicCitationEurasip Journal on Image and Video Processing-
dc.citation.titleEurasip Journal on Image and Video Processing-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaImaging Science & Photographic Technology-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryImaging Science & Photographic Technology-
dc.subject.keywordPlusSCLERAL SEARCH COIL-
dc.subject.keywordAuthorInfrared camera-
dc.subject.keywordAuthorVideo-oculography-
dc.subject.keywordAuthorVOG-
dc.subject.keywordAuthorVideonystagmography-
dc.subject.keywordAuthorVNG-
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