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Quantified Activity Measurement for Medical Use in Movement Disorders through IR-UWB Radar Sensor †

Movement disorders, such as Parkinson’s disease, dystonia, tic disorder, and attention-deficit/hyperactivity disorder (ADHD) are clinical syndromes with either an excess of movement or a paucity of voluntary and involuntary movements. As the assessment of most movement disorders depends on subjectiv...

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Autores principales: Yim, Daehyeon, Lee, Won Hyuk, Kim, Johanna Inhyang, Kim, Kangryul, Ahn, Dong Hyun, Lim, Young-Hyo, Cho, Seok Hyun, Park, Hyun-Kyung, Cho, Sung Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387084/
https://www.ncbi.nlm.nih.gov/pubmed/30744003
http://dx.doi.org/10.3390/s19030688
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author Yim, Daehyeon
Lee, Won Hyuk
Kim, Johanna Inhyang
Kim, Kangryul
Ahn, Dong Hyun
Lim, Young-Hyo
Cho, Seok Hyun
Park, Hyun-Kyung
Cho, Sung Ho
author_facet Yim, Daehyeon
Lee, Won Hyuk
Kim, Johanna Inhyang
Kim, Kangryul
Ahn, Dong Hyun
Lim, Young-Hyo
Cho, Seok Hyun
Park, Hyun-Kyung
Cho, Sung Ho
author_sort Yim, Daehyeon
collection PubMed
description Movement disorders, such as Parkinson’s disease, dystonia, tic disorder, and attention-deficit/hyperactivity disorder (ADHD) are clinical syndromes with either an excess of movement or a paucity of voluntary and involuntary movements. As the assessment of most movement disorders depends on subjective rating scales and clinical observations, the objective quantification of activity remains a challenging area. The purpose of our study was to verify whether an impulse radio ultra-wideband (IR-UWB) radar sensor technique is useful for an objective measurement of activity. Thus, we proposed an activity measurement algorithm and quantitative activity indicators for clinical assistance, based on IR-UWB radar sensors. The received signals of the sensor are sufficiently sensitive to measure heart rate, and multiple sensors can be used together to track the positions of people. To measure activity using these two features, we divided movement into two categories. For verification, we divided these into several scenarios, depending on the amount of activity, and compared with an actigraphy sensor to confirm the clinical feasibility of the proposed indicators. The experimental environment is similar to the environment of the comprehensive attention test (CAT), but with the inclusion of the IR-UWB radar. The experiment was carried out, according to a predefined scenario. Experiments demonstrate that the proposed indicators can measure movement quantitatively, and can be used as a quantified index to clinically record and compare patient activity. Therefore, this study suggests the possibility of clinical application of radar sensors for standardized diagnosis.
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spelling pubmed-63870842019-02-26 Quantified Activity Measurement for Medical Use in Movement Disorders through IR-UWB Radar Sensor † Yim, Daehyeon Lee, Won Hyuk Kim, Johanna Inhyang Kim, Kangryul Ahn, Dong Hyun Lim, Young-Hyo Cho, Seok Hyun Park, Hyun-Kyung Cho, Sung Ho Sensors (Basel) Article Movement disorders, such as Parkinson’s disease, dystonia, tic disorder, and attention-deficit/hyperactivity disorder (ADHD) are clinical syndromes with either an excess of movement or a paucity of voluntary and involuntary movements. As the assessment of most movement disorders depends on subjective rating scales and clinical observations, the objective quantification of activity remains a challenging area. The purpose of our study was to verify whether an impulse radio ultra-wideband (IR-UWB) radar sensor technique is useful for an objective measurement of activity. Thus, we proposed an activity measurement algorithm and quantitative activity indicators for clinical assistance, based on IR-UWB radar sensors. The received signals of the sensor are sufficiently sensitive to measure heart rate, and multiple sensors can be used together to track the positions of people. To measure activity using these two features, we divided movement into two categories. For verification, we divided these into several scenarios, depending on the amount of activity, and compared with an actigraphy sensor to confirm the clinical feasibility of the proposed indicators. The experimental environment is similar to the environment of the comprehensive attention test (CAT), but with the inclusion of the IR-UWB radar. The experiment was carried out, according to a predefined scenario. Experiments demonstrate that the proposed indicators can measure movement quantitatively, and can be used as a quantified index to clinically record and compare patient activity. Therefore, this study suggests the possibility of clinical application of radar sensors for standardized diagnosis. MDPI 2019-02-08 /pmc/articles/PMC6387084/ /pubmed/30744003 http://dx.doi.org/10.3390/s19030688 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yim, Daehyeon
Lee, Won Hyuk
Kim, Johanna Inhyang
Kim, Kangryul
Ahn, Dong Hyun
Lim, Young-Hyo
Cho, Seok Hyun
Park, Hyun-Kyung
Cho, Sung Ho
Quantified Activity Measurement for Medical Use in Movement Disorders through IR-UWB Radar Sensor †
title Quantified Activity Measurement for Medical Use in Movement Disorders through IR-UWB Radar Sensor †
title_full Quantified Activity Measurement for Medical Use in Movement Disorders through IR-UWB Radar Sensor †
title_fullStr Quantified Activity Measurement for Medical Use in Movement Disorders through IR-UWB Radar Sensor †
title_full_unstemmed Quantified Activity Measurement for Medical Use in Movement Disorders through IR-UWB Radar Sensor †
title_short Quantified Activity Measurement for Medical Use in Movement Disorders through IR-UWB Radar Sensor †
title_sort quantified activity measurement for medical use in movement disorders through ir-uwb radar sensor †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387084/
https://www.ncbi.nlm.nih.gov/pubmed/30744003
http://dx.doi.org/10.3390/s19030688
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