{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:46:24Z","timestamp":1777891584221,"version":"3.51.4"},"reference-count":40,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2020,7,31]],"date-time":"2020-07-31T00:00:00Z","timestamp":1596153600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of X-Ray Science and Technology"],"published-print":{"date-parts":[[2020,9,19]]},"abstract":"<jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>BACKGROUD AND OBJECTIVE:<\/jats:title>\n                    <jats:p>The control of clinical manifestation of vestibular system relies on an optimal diagnosis. This study aims to develop and test a new automated diagnostic scheme for vestibular disorder recognition.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>METHODS:<\/jats:title>\n                    <jats:p>In this study we stratify the Ellipse-fitting technique using the Video Nysta Gmographic (VNG) sequence to obtain the segmented pupil region. Furthermore, the proposed methodology enabled us to select the most optimum VNG features to effectively conduct quantitative evaluation of nystagmus signal. The proposed scheme using a multilayer neural network classifier (MNN) was tested using a dataset involving 98 patients affected by VD and 41 normal subjects.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>RESULTS:<\/jats:title>\n                    <jats:p>The new MNN scheme uses only five temporal and frequency parameters selected out of initial thirteen parameters. The scheme generated results reached 94% of classification accuracy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>CONCLUSIONS:<\/jats:title>\n                    <jats:p>The developed expert system is promising in solving the problem of VNG analysis and achieving accurate results of vestibular disorder recognition or diagnosis comparing to other methods or classifiers.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3233\/xst-200661","type":"journal-article","created":{"date-parts":[[2020,8,4]],"date-time":"2020-08-04T13:10:59Z","timestamp":1596546659000},"page":"923-938","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Hybrid clustering system using Nystagmus parameters discrimination for vestibular disorder diagnosis"],"prefix":"10.1177","volume":"28","author":[{"given":"Amine","family":"Ben Slama","sequence":"first","affiliation":[{"name":"University of Tunis ElManar","place":["Tunisia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanene","family":"Sahli","sequence":"additional","affiliation":[{"name":"University of Tunis","place":["Tunisia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aymen","family":"Mouelhi","sequence":"additional","affiliation":[{"name":"University of Tunis","place":["Tunisia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jihene","family":"Marrakchi","sequence":"additional","affiliation":[{"name":"Department of Oto-Rhino-laryngology, La Rabta Hospital, Tunis, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seif","family":"Boukriba","sequence":"additional","affiliation":[{"name":"Department of Radiology, La Rabta Hospital, Tunis, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hedi","family":"Trabelsi","sequence":"additional","affiliation":[{"name":"University of Tunis ElManar","place":["Tunisia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mounir","family":"Sayadi","sequence":"additional","affiliation":[{"name":"University of Tunis","place":["Tunisia"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,7,31]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1093\/med\/9780195387834.001.0001"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.3233\/RNN-2010-0533"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.3233\/VES-190658"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(00)00146-2"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1080\/10255842.2015.1069572"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1080\/10255842.2018.1479745"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1097\/00019052-200002000-00006"},{"key":"e_1_3_1_9_2","article-title":"Eye gaze estimation from a single image of one eye","volume":"1","author":"Wang J.G.","year":"2003","unstructured":"WangJ.G., SungE., VenkateswarluR., Eye gaze estimation from a single image of one eye,In iccv, vol. 1. 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