Please use this identifier to cite or link to this item:
https://ir.swu.ac.th/jspui/handle/123456789/12522
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wongwaraputh T. | |
dc.contributor.author | Pintavirooj C. | |
dc.contributor.author | Mahasitthiwat V. | |
dc.date.accessioned | 2021-04-05T03:03:57Z | - |
dc.date.available | 2021-04-05T03:03:57Z | - |
dc.date.issued | 2019 | |
dc.identifier.other | 2-s2.0-85062077344 | |
dc.identifier.uri | https://ir.swu.ac.th/jspui/handle/123456789/12522 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062077344&doi=10.1109%2fBMEiCON.2018.8609943&partnerID=40&md5=81e1910071882d6ad736aa0a29e57f30 | |
dc.description.abstract | Vestibular system is balance system of human body. They provide Vestibulo-Ocular Reflex (VOR). Peripheral vestibular dysfunction is one the reasons causes vertigo. There is the diagnosis called Head Impulse Test (HIT). A doctor turns patient's head to left and right rapidly and observes an eye movement duration. In this paper, we develop computer software for both doctors, for supporting their diagnosis and patients, for screening themselves before going to see doctor. This project is creating a computer software using Python language with libraries. The software use OpenCV for image processing: Face detection and finding iris position in eye region and Dlib: Facial landmarks detection including the eye region. The Software requires the HIT video to detect patient's face and iris while face is turning left and right. The iris position is calculated compare to eye landmarks position and displayed by graph of left and right iris movement. The iris movement duration can be used to determine whether a patient has peripheral vestibular dysfunction. Patients can take the video and send to a doctor to diagnose. The software will be furthered developed on the mobile phone for patients to be used at home before going to see doctor. © 2018 IEEE. | |
dc.subject | Biomedical engineering | |
dc.subject | Computer peripheral equipment | |
dc.subject | Diagnosis | |
dc.subject | Eye movements | |
dc.subject | Face recognition | |
dc.subject | High level languages | |
dc.subject | Medical computing | |
dc.subject | Template matching | |
dc.subject | Dlib | |
dc.subject | Head Impulse Test (HIT) | |
dc.subject | OpenCV | |
dc.subject | Python | |
dc.subject | Vestibular system | |
dc.subject | Vestibulo-ocular reflex | |
dc.subject | Video oculography | |
dc.subject | Computer software | |
dc.title | Screening Computer Software for Peripheral Vestibular Dysfunction | |
dc.type | Conference Paper | |
dc.rights.holder | Scopus | |
dc.identifier.bibliograpycitation | BMEiCON 2018 - 11th Biomedical Engineering International Conference. (2019) | |
dc.identifier.doi | 10.1109/BMEiCON.2018.8609943 | |
Appears in Collections: | Scopus 1983-2021 |
Files in This Item:
There are no files associated with this item.
Items in SWU repository are protected by copyright, with all rights reserved, unless otherwise indicated.