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Quantitative Assessment of the Arm/Hand Movements in Parkinson’s Disease Using a Wireless Armband Device
We present an approach for quantitative assessment of the arm/hand movements in patients with Parkinson’s disease (PD), from sensor data acquired with a wearable, wireless armband device (Myo sensor). We propose new Movement Performance Indicators that can be adopted by practitioners for the quantit...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554498/ https://www.ncbi.nlm.nih.gov/pubmed/28848489 http://dx.doi.org/10.3389/fneur.2017.00388 |
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author | Spasojević, Sofija Ilić, Tihomir V. Stojković, Ivan Potkonjak, Veljko Rodić, Aleksandar Santos-Victor, José |
author_facet | Spasojević, Sofija Ilić, Tihomir V. Stojković, Ivan Potkonjak, Veljko Rodić, Aleksandar Santos-Victor, José |
author_sort | Spasojević, Sofija |
collection | PubMed |
description | We present an approach for quantitative assessment of the arm/hand movements in patients with Parkinson’s disease (PD), from sensor data acquired with a wearable, wireless armband device (Myo sensor). We propose new Movement Performance Indicators that can be adopted by practitioners for the quantitative evaluation of motor performance and support their clinical evaluations. In addition, specific Movement Performance Indicators can indicate the presence of the bradykinesia symptom. The study includes seventeen PD patients and sixteen age-matched controls. A set of representative arm/hand movements is defined under the supervision of movement disorder specialist. In order to assist the evaluations, and for progress monitoring purposes, as well as for assessing the amount of bradykinesia in PD, a total set of 84 Movement Performance Indicators are computed from the sensor readings. Subsequently, we investigate whether wireless armband device, with the use of the proposed Movement Performance Indicators can be utilized: (1) for objective and precise quantitative evaluation of the arm/hand movements of Parkinson’s patients, (2) for assessment of the bradykinesia motor symptom, and (3) as an adequate low-cost alternative for the sensor glove. We conducted extensive analysis of proposed Movement Performance Indicators and results are indicating following clinically relevant characteristics: (i) adequate reliability as measured by ICC; (ii) high accuracy in discrimination between the patients and controls, and between the disease stages (support to disease diagnosis and progress monitoring, respectively); (iii) substantial difference in comparison between the left-hand and the right-hand movements across controls and patients, as well as between disease stage groups; (iv) statistically significant correlation with clinical scales (tapping test and UPDRS-III Motor Score); and (v) quantitative evaluation of bradykinesia symptom. Results suggest that the proposed approach has a potential to be adopted by physicians, to afford them with quantitative, objective and precise methods and data during clinical evaluations and support the assessment of bradykinesia. |
format | Online Article Text |
id | pubmed-5554498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55544982017-08-28 Quantitative Assessment of the Arm/Hand Movements in Parkinson’s Disease Using a Wireless Armband Device Spasojević, Sofija Ilić, Tihomir V. Stojković, Ivan Potkonjak, Veljko Rodić, Aleksandar Santos-Victor, José Front Neurol Neuroscience We present an approach for quantitative assessment of the arm/hand movements in patients with Parkinson’s disease (PD), from sensor data acquired with a wearable, wireless armband device (Myo sensor). We propose new Movement Performance Indicators that can be adopted by practitioners for the quantitative evaluation of motor performance and support their clinical evaluations. In addition, specific Movement Performance Indicators can indicate the presence of the bradykinesia symptom. The study includes seventeen PD patients and sixteen age-matched controls. A set of representative arm/hand movements is defined under the supervision of movement disorder specialist. In order to assist the evaluations, and for progress monitoring purposes, as well as for assessing the amount of bradykinesia in PD, a total set of 84 Movement Performance Indicators are computed from the sensor readings. Subsequently, we investigate whether wireless armband device, with the use of the proposed Movement Performance Indicators can be utilized: (1) for objective and precise quantitative evaluation of the arm/hand movements of Parkinson’s patients, (2) for assessment of the bradykinesia motor symptom, and (3) as an adequate low-cost alternative for the sensor glove. We conducted extensive analysis of proposed Movement Performance Indicators and results are indicating following clinically relevant characteristics: (i) adequate reliability as measured by ICC; (ii) high accuracy in discrimination between the patients and controls, and between the disease stages (support to disease diagnosis and progress monitoring, respectively); (iii) substantial difference in comparison between the left-hand and the right-hand movements across controls and patients, as well as between disease stage groups; (iv) statistically significant correlation with clinical scales (tapping test and UPDRS-III Motor Score); and (v) quantitative evaluation of bradykinesia symptom. Results suggest that the proposed approach has a potential to be adopted by physicians, to afford them with quantitative, objective and precise methods and data during clinical evaluations and support the assessment of bradykinesia. Frontiers Media S.A. 2017-08-11 /pmc/articles/PMC5554498/ /pubmed/28848489 http://dx.doi.org/10.3389/fneur.2017.00388 Text en Copyright © 2017 Spasojević, Ilić, Stojković, Potkonjak, Rodić and Santos-Victor. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Spasojević, Sofija Ilić, Tihomir V. Stojković, Ivan Potkonjak, Veljko Rodić, Aleksandar Santos-Victor, José Quantitative Assessment of the Arm/Hand Movements in Parkinson’s Disease Using a Wireless Armband Device |
title | Quantitative Assessment of the Arm/Hand Movements in Parkinson’s Disease Using a Wireless Armband Device |
title_full | Quantitative Assessment of the Arm/Hand Movements in Parkinson’s Disease Using a Wireless Armband Device |
title_fullStr | Quantitative Assessment of the Arm/Hand Movements in Parkinson’s Disease Using a Wireless Armband Device |
title_full_unstemmed | Quantitative Assessment of the Arm/Hand Movements in Parkinson’s Disease Using a Wireless Armband Device |
title_short | Quantitative Assessment of the Arm/Hand Movements in Parkinson’s Disease Using a Wireless Armband Device |
title_sort | quantitative assessment of the arm/hand movements in parkinson’s disease using a wireless armband device |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554498/ https://www.ncbi.nlm.nih.gov/pubmed/28848489 http://dx.doi.org/10.3389/fneur.2017.00388 |
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