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, Angélica Atehortúa, Ricardo Moncayo, 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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