17 November 2017 Cerebral palsy characterization by estimating ocular motion
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Proceedings Volume 10572, 13th International Conference on Medical Information Processing and Analysis; 105720C (2017) https://doi.org/10.1117/12.2285997
Event: 13th International Symposium on Medical Information Processing and Analysis, 2017, San Andres Island, Colombia
Abstract
Cerebral palsy (CP) is a large group of motion and posture disorders caused during the fetal or infant brain development. Sensorial impairment is commonly found in children with CP, i.e., between 40-75 percent presents some form of vision problems or disabilities. An automatic characterization of the cerebral palsy is herein presented by estimating the ocular motion during a gaze pursuing task. Specifically, After automatically detecting the eye location, an optical flow algorithm tracks the eye motion following a pre-established visual assignment. Subsequently, the optical flow trajectories are characterized in the velocity-acceleration phase plane. Differences are quantified in a small set of patients between four to ten years.
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Jully González, Jully González, Angélica Atehortúa, Angélica Atehortúa, Ricardo Moncayo, Ricardo Moncayo, Eduardo Romero, Eduardo Romero, } "Cerebral palsy characterization by estimating ocular motion", Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105720C (17 November 2017); doi: 10.1117/12.2285997; https://doi.org/10.1117/12.2285997
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