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Quantitative assessment of cerebellar ataxia, through automated limb functional tests
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 Cerebella...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391824/ https://www.ncbi.nlm.nih.gov/pubmed/30813963 http://dx.doi.org/10.1186/s12984-019-0490-3 |
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author | Krishna, Ragil Pathirana, Pubudu N. Horne, Malcolm Power, Laura Szmulewicz, David J. |
author_facet | Krishna, Ragil Pathirana, Pubudu N. Horne, Malcolm Power, Laura Szmulewicz, David J. |
author_sort | Krishna, Ragil |
collection | PubMed |
description | 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). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12984-019-0490-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6391824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63918242019-03-11 Quantitative assessment of cerebellar ataxia, through automated limb functional tests Krishna, Ragil Pathirana, Pubudu N. Horne, Malcolm Power, Laura Szmulewicz, David J. J Neuroeng Rehabil Research 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). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12984-019-0490-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-27 /pmc/articles/PMC6391824/ /pubmed/30813963 http://dx.doi.org/10.1186/s12984-019-0490-3 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Krishna, Ragil Pathirana, Pubudu N. Horne, Malcolm Power, Laura Szmulewicz, David J. Quantitative assessment of cerebellar ataxia, through automated limb functional tests |
title | Quantitative assessment of cerebellar ataxia, through automated limb functional tests |
title_full | Quantitative assessment of cerebellar ataxia, through automated limb functional tests |
title_fullStr | Quantitative assessment of cerebellar ataxia, through automated limb functional tests |
title_full_unstemmed | Quantitative assessment of cerebellar ataxia, through automated limb functional tests |
title_short | Quantitative assessment of cerebellar ataxia, through automated limb functional tests |
title_sort | quantitative assessment of cerebellar ataxia, through automated limb functional tests |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391824/ https://www.ncbi.nlm.nih.gov/pubmed/30813963 http://dx.doi.org/10.1186/s12984-019-0490-3 |
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