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Cerebral palsy characterization by estimating ocular motion
Author(s): Jully González; Angélica Atehortúa; Ricardo Moncayo; Eduardo Romero
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Paper 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.

Paper Details

Date Published: 17 November 2017
PDF: 7 pages
Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105720C (17 November 2017); doi: 10.1117/12.2285997
Show Author Affiliations
Jully González, Univ. Nacional de Colombia (Colombia)
Angélica Atehortúa, Univ. Nacional de Colombia (Colombia)
Ricardo Moncayo, Univ. Nacional de Colombia (Colombia)
Eduardo Romero, Univ. Nacional de Colombia (Colombia)


Published in SPIE Proceedings Vol. 10572:
13th International Conference on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Juan David García, Editor(s)

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