Cerebral palsy characterization by estimating ocular motion

Jully González; Angélica Atehortúa; Ricardo Moncayo; Eduardo Romero

doi:10.1117/12.2285997

17 November 2017 Cerebral palsy characterization by estimating ocular motion

Jully González, Angélica Atehortúa, Ricardo Moncayo, Eduardo Romero

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.

Citation Download Citation

Jully González, Angélica Atehortúa, Ricardo Moncayo, and 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); https://doi.org/10.1117/12.2285997

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available