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Proceedings Paper

A characterization of Parkinson's disease by describing the visual field motion during gait
Author(s): David Trujillo; Fabio Martínez; Angélica Atehortúa; Charlens Alvarez; Eduardo Romero
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Paper Abstract

An early diagnosis of Parkinson’s Disease (PD) is crucial towards devising successful rehabilitation programs. Typically, the PD diagnosis is performed by characterizing typical symptoms, namely bradykinesia, rigidity, tremor, postural instability or freezing gait. However, traditional examination tests are usually incapable of detecting slight motor changes, specially for early stages of the pathology. Recently, eye movement abnormalities have correlated with early onset of some neurodegenerative disorders. This work introduces a new characterization of the Parkinson disease by describing the ocular motion during a common daily activity as the gait. This paper proposes a fully automatic eye motion analysis using a dense optical flow that tracks the ocular direction. The eye motion is then summarized using orientation histograms constructed during a whole gait cycle. The proposed approach was evaluated by measuring the χ2 distance between the orientation histograms, showing substantial differences between control and PD patients.

Paper Details

Date Published: 22 December 2015
PDF: 6 pages
Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810K (22 December 2015); doi: 10.1117/12.2211438
Show Author Affiliations
David Trujillo, Univ. Nacional de Colombia (Colombia)
Fabio Martínez, Univ. Nacional de Colombia (Colombia)
Angélica Atehortúa, Univ. Nacional de Colombia (Colombia)
Charlens Alvarez, Univ. Nacional de Colombia (Colombia)
Eduardo Romero, Univ. Nacional de Colombia (Colombia)

Published in SPIE Proceedings Vol. 9681:
11th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Juan D. García-Arteaga; Jorge Brieva, Editor(s)

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