ArticleSensors (Basel, Switzerland)2018
OSCANN: Technical Characterization of a Novel Gaze Tracking Analyzer.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Vertical saccadic slowing is associated with fatigue in multiple sclerosis.Fatigue : biomedicine, health & behavior · 2026Article
- Baseline Oculomotor Parameters Are Prospectively Associated with Cognitive Processing Speed at 6-Year Follow-Up in Multiple Sclerosis: An Exploratory Cohort Study.Journal of clinical medicine · 2026Article
- Article
- Oculomotor Dysfunction in Idiopathic and LRRK2-Parkinson's Disease and At-Risk Individuals.Journal of Parkinson's disease · 2024Article
- Accounting for Visual Field Abnormalities when Using Eye-tracking to Diagnose Reading Problems in Neurological Degeneration.Journal of eye movement research · 2024Article
- Automatic Video-Oculography System for Detection of Minimal Hepatic Encephalopathy Using Machine Learning Tools.Sensors (Basel, Switzerland) · 2023Article
- Minimal hepatic encephalopathy is associated to alterations in eye movements.Scientific reports · 2022Article
- Eye Movement Alterations in Post-COVID-19 Condition: A Proof-of-Concept Study.Sensors (Basel, Switzerland) · 2022Article
- Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia.Frontiers in aging neuroscience · 2020Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Eye-movement analysis has grown exponentially in recent decades. The reason is that abnormalities in oculomotor movements are usually symptoms of injuries in the nervous system. This paper presents a novel regulated solution named OSCANN. OSCANN aims at providing an innovative tool for the control, management and visualization of oculomotor neurological examinations. This solution utilizes an eye-tracker sensor based on video electro-oculography (VOG) technology to capture eye movements and store them in video files. Such a sensor can store images at a rate of 100 frames per second. A characterization study was performed using twenty-two volunteers (13 male, 9 female, ages 22-45 years, mean 29.3 years, SD = 6.7) to assess the accuracy and precision specifications of OSCANN during oculomotor movement analysis. The accuracy was evaluated based on the offset, whereas precision was estimated with Root Means Square (RMS). Such a study reported values lower than 0.4 ∘ and 0.03 ∘ of accuracy and precision, respectively. These results suggest that OSCANN can be considered as a powerful tool to measure oculomotor movement alterations involved in some neurological disease progression.
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