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, Bipasha orcid.org/0000-0002-9469-858X Phan, Dung 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 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment Open Access Collection Related Links Link Description Link to full-text (open access)     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 Fri, 19 Jun 2020, 13:56:50 EST Sat, 20 Jun 2020, 05:00:32 EST Mon, 22 Jun 2020, 11:19:35 EST Tue, 23 Jun 2020, 06:04:43 EST Sat, 27 Jun 2020, 02:32:46 EST Fri, 03 Jul 2020, 11:34:49 EST Fri, 03 Jul 2020, 11:40:08 EST Fri, 03 Jul 2020, 11:40:50 EST Sat, 12 Sep 2020, 02:30:57 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 77 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.