Quantitative assessment of cerebellar ataxia, through automated limb functional tests

Krishna, Ragil, Pathirana, Pubudu, Horne, Malcolm, Power, Laura and Szmulewicz, David J 2019, Quantitative assessment of cerebellar ataxia, through automated limb functional tests, Journal of neuroengineering and rehabilitation, vol. 16, pp. 1-15, doi: 10.1186/s12984-019-0490-3.

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Title Quantitative assessment of cerebellar ataxia, through automated limb functional tests
Author(s) Krishna, Ragil
Pathirana, PubuduORCID iD for Pathirana, Pubudu orcid.org/0000-0001-8014-7798
Horne, Malcolm
Power, Laura
Szmulewicz, David J
Journal name Journal of neuroengineering and rehabilitation
Volume number 16
Article ID 31
Start page 1
End page 15
Total pages 15
Publisher BioMed Central
Place of publication London, Eng.
Publication date 2019-02-27
ISSN 1743-0003
1743-0003
Keyword(s) Finger-to-nose (FNT)
Diadochokinesia (DDK)
Heel shin test (HST)
Fast fourier transforms (FFT)
Principal component analysis (PCA)
Science & Technology
Technology
Life Sciences & Biomedicine
Engineering, Biomedical
Neurosciences
Rehabilitation
Engineering
Neurosciences & Neurology
Summary BACKGROUND: Cerebellar damage can often result in disabilities affecting the peripheral regions of the body. These include poor and inaccurate coordination, tremors and irregular movements that often manifest as disorders associated with balance, gait and speech. The severity assessment of Cerebellar ataxia (CA) is determined by expert opinion and is likely to be subjective in nature. This paper investigates automated versions of three commonly used tests: Finger to Nose test (FNT), test for upper limb Dysdiadochokinesia Test (DDK) and Heel to Shin Test (HST), in evaluating disability due to CA. METHODS: Limb movements associated with these tests are measured using Inertial Measurement Units (IMU) to capture the disability. Kinematic parameters such as acceleration, velocity and angle are considered in both time and frequency domain in three orthogonal axes to obtain relevant disability related information. The collective dominance in the data distributions of the underlying features were observed though the Principal Component Analysis (PCA). The dominant features were combined to substantiate the correlation with the expert clinical assessments through Linear Discriminant Analysis. Here, the Pearson correlation is used to examine the relationship between the objective assessments and the expert clinical scores while the performance was also verified by means of cross validation. RESULTS: The experimental results show that acceleration is a major feature in DDK and HST, whereas rotation is the main feature responsible for classification in FNT. Combining the features enhanced the correlations in each domain. The subject data was classified based on the severity information based on expert clinical scores. CONCLUSION: For the predominantly translational movement in the upper limb FNT, the rotation captures disability and for the DDK test with predominantly rotational movements, the linear acceleration captures the disability but cannot be extended to the lower limb HST. The orthogonal direction manifestation of ataxia attributed to sensory measurements was determined for each test. TRIAL REGISTRATION: Human Research and Ethics Committee, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia (HREC Reference Number: 11/994H/16).
Language eng
DOI 10.1186/s12984-019-0490-3
Field of Research 0903 Biomedical Engineering
1109 Neurosciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2019, The Author(s)
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119946

Document type: Journal Article
Collections: School of Engineering
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