Paper
28 January 2015 Characterizing the eye trajectory during the gait towards Parkinson stage identification
David Trujillo, Fabio Martínez, Eduardo Romero
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Proceedings Volume 9287, 10th International Symposium on Medical Information Processing and Analysis; 92871A (2015) https://doi.org/10.1117/12.2073868
Event: Tenth International Symposium on Medical Information Processing and Analysis, 2014, Cartagena de Indias, Colombia
Abstract
Parkinson’s Disease characterization is commonly carried out by measuring a motor abnormality that may affect an optimal locomotion. However, such gait characterization is far from achieving accurate and sensible early detection of this disease, dealying between 6 months to 3 years a first diagnosis. Current research has identified the eye movements (EM) as a powerful biomarker that may detect and identify PD, even in early stages. However, this eye analysis is now performed under fully controlled conditions and strict protocols, for which the patient must follow a set of routine movements in a static position. Such protocols however loss some natural eye movements during the gait that may help to promptly highlight the disease. This work presents preliminary results characterizing and analyzing the center of mass of the eye movement during the gait, captured using a high speed camera. An automatic tracking strategy was herein implemented to follow the eye during the locomotion. Promising results were obtained from a set of real patients diagnosed with parkinson diseases in stages of 1 y 3, which show strong differences among the computed signals.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Trujillo, Fabio Martínez, and Eduardo Romero "Characterizing the eye trajectory during the gait towards Parkinson stage identification", Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92871A (28 January 2015); https://doi.org/10.1117/12.2073868
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KEYWORDS
Eye

Gait analysis

Motion analysis

Parkinson's disease

Automatic tracking

High speed cameras

Motion controllers

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