Conference proceeding
Mobile traumatic brain injury assessment system
2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Vol.2019-, pp.1-5
12/2018
DOI: 10.1109/ISSPIT.2018.8705146
Abstract
We have developed a novel mobile eye tracking based traumatic brain injury assessment system to detect and diagnose traumatic brain injuries (TBIs). Integrated visual tracking and visuomotor tests were developed to assess TBI quickly and conveniently. The system can be operated in mobile devices such as tablets and cell phones and enables videooculographic and visuomotor assessment of patients based on a targetoriented visual tracking-touching synchronization. Two simulation tests were utilized to test system performance in detection of impaired eye movement. Statistically significant differences between the pathological simulation and normal cases were found in the concentration test (P<.0001), the horizontal (P=.0005) and circular movement tests (P=.0013) with a statistical power of 80.5%. 100% touch success and shorter time in performing the visuomotor test were obtained in normal cases.
Details
- Title: Subtitle
- Mobile traumatic brain injury assessment system
- Creators
- Tri Quang - University of AkronChristopher Mela - University of AkronMingzhou Zhou - University of AkronYang Liu - University of Akron
- Resource Type
- Conference proceeding
- Publication Details
- 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Vol.2019-, pp.1-5
- DOI
- 10.1109/ISSPIT.2018.8705146
- Publisher
- IEEE
- Language
- English
- Date published
- 12/2018
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197346602771
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