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Quantitative assessment of cerebella ataxia through automated upper limb functional tests
Author(s): Ragil Krishna; Pubudu N. Pathirana; Malcolm Horne; Laura Power; David Szmulewicz
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Paper Abstract

Neurological disorders typically exhibit movement disabilities and disorders such as cerebellar ataxia (CA) can cause coordination inaccuracies often manifested as disabilities associated with gait, balance and speech. Since the severity assessment of the disorder is based on the expert clinical opinion, it is likely to be subjective. Automated versions of two upper limb tests: Finger to Nose test (FNT) and Diadochokinesia (DDK) test are investigated in this paper. Inertial Measurement Units (IMU) (BioKinTM ) are employed to capture the disability by measuring limb movements. Translational and rotational accelerations considered as kinematic parameters provided the features relevant to characteristic movements intrinsic to the disability. Principal Component Analysis (PCA) and multi-class Linear Discriminant classifier (LDA) were instrumental in dominant features correlating with the clinical scores. The relationship between clinicians assessment and the objective analysis is examined using Pearson Correlation. This study found that although FNT predominantly consist of translational movements, rotation was the dominant feature while for the case of DDK that predominantly consist of rotational movements, acceleration was the dominant feature. The degree of correlation in each test was also enhanced by combining the features in different tests.

Paper Details

Date Published: 17 April 2019
PDF: 7 pages
Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 110710S (17 April 2019); doi: 10.1117/12.2520693
Show Author Affiliations
Ragil Krishna, Deakin Univ. (Australia)
Pubudu N. Pathirana, Deakin Univ. (Australia)
Malcolm Horne, Florey Institute of Neuroscience and Mental Health (Australia)
Laura Power, Royal Victorian Eye and Ear Hospital (Australia)
David Szmulewicz, Alfred Hospital (Australia)


Published in SPIE Proceedings Vol. 11071:
Tenth International Conference on Signal Processing Systems
Kezhi Mao; Xudong Jiang, Editor(s)

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