首页|University of Auckland Reports Findings in Brain Injury (Classification of short and long term mild traumatic brain injury using computerized eye tracking)
University of Auckland Reports Findings in Brain Injury (Classification of short and long term mild traumatic brain injury using computerized eye tracking)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Central Nervous System Diseases and Conditions - Brain Injury is the subject of a report. According to news reporting originating in Auckland, New Zealand, by NewsRx journalists, res earch stated, "Accurate, and objective diagnosis of brain injury remains challen ging. This study evaluated useability and reliability of computerized eye-tracke r assessments (CEAs) designed to assess oculomotor function, visual attention/pr ocessing, and selective attention in recent mild traumatic brain injury (mTBI), persistent post-concussion syndrome (PPCS), and controls." The news reporters obtained a quote from the research from the University of Auc kland, "Tests included egocentric localisation, fixation-stability, smooth-pursu it, saccades, Stroop, and the vestibulo-ocular reflex (VOR). Thirty-five healthy adults performed the CEA battery twice to assess useability and test-retest rel iability. In separate experiments, CEA data from 55 healthy, 20 mTBI, and 40 PPC S adults were used to train a machine learning model to categorize participants into control, mTBI, or PPCS classes. Intraclass correlation coefficients demonst rated moderate (ICC > .50) to excellent (ICC > .98) reliability (p <.05) and satisfactory CEA compliance . Machine learning modelling categorizing participants into groups of control, m TBI, and PPCS performed reasonably (balanced accuracy control: 0.83, mTBI: 0.66, and PPCS: 0.76, AUC-ROC: 0.82). Key outcomes were the VOR (gaze stability), fix ation (vertical error), and pursuit (total error, vertical gain, and number of s accades). The CEA battery was reliable and able to differentiate healthy, mTBI, and PPCS patients reasonably well."
AucklandNew ZealandAustralia and New ZealandBrain Diseases and ConditionsBrain InjuryCentral Nervous System Di seases and ConditionsCraniocerebral TraumaCyborgsEmerging TechnologiesHe alth and MedicineMachine Learning
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