Openly accessible

Objective assessment of cerebellar ataxia: a comprehensive and refined approach

Kashyap, Bipasha, Phan, Dung, Pathirana, Pubudu N., Horne, Malcolm, Power, Laura and Szmulewicz, David 2020, Objective assessment of cerebellar ataxia: a comprehensive and refined approach, Scientific reports, vol. 10, pp. 1-17, doi: 10.1038/s41598-020-65303-7.

Attached Files
Name Description MIMEType Size Downloads

Title Objective assessment of cerebellar ataxia: a comprehensive and refined approach
Author(s) Kashyap, BipashaORCID iD for Kashyap, Bipasha orcid.org/0000-0002-9469-858X
Phan, Dung
Pathirana, Pubudu N.ORCID iD for Pathirana, Pubudu N. orcid.org/0000-0001-8014-7798
Horne, Malcolm
Power, Laura
Szmulewicz, David
Journal name Scientific reports
Volume number 10
Article ID 9493
Start page 1
End page 17
Total pages 17
Publisher Springer Nature
Place of publication London, Eng.
Publication date 2020
ISSN 2045-2322
2045-2322
Summary Parametric analysis of Cerebellar Ataxia (CA) could be of immense value compared to its subjective clinical assessments. This study focuses on a comprehensive scheme for objective assessment of CA through the instrumented versions of 9 commonly used neurological tests in 5 domains- speech, upper limb, lower limb, gait and balance. Twenty-three individuals diagnosed with CA to varying degrees and eleven age-matched healthy controls were recruited. Wearable inertial sensors and Kinect camera were utilised for data acquisition. Binary and multilabel discrimination power and intra-domain relationships of the features extracted from the sensor measures and the clinical scores were compared using Graph Theory, Centrality Measures, Random Forest binary and multilabel classification approaches. An optimal subset of 13 most important Principal Component (PC) features were selected for CA-control classification. This classification model resulted in an impressive performance accuracy of 97% (F1 score = 95.2%) with Holmesian dimensions distributed as 47.7% Stability, 6.3% Timing, 38.75% Accuracy and 7.24% Rhythmicity. Another optimal subset of 11 PC features demonstrated an F1 score of 84.2% in mapping the total 27 PC across 5 domains during CA multilabel discrimination. In both cases, the balance (Romberg) test contributed the most (31.1% and 42% respectively), followed by the peripheral tests whereas gait (Walking) test contributed the least. These findings paved the way for a better understanding of the feasibility of an instrumented system to assist informed clinical decision-making.
Language eng
DOI 10.1038/s41598-020-65303-7
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30139258

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 27 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 22 Jun 2020, 11:19:35 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.