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Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease

Sensor placement identification in body sensor networks is an important feature, which could render such a system more robust, transparent to the user, and easy to wear for long term data collection. It can be considered an active measure to avoid the misuse of a sensing system, specifically as thes...

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Autores principales: Kostikis, Nicholas, Rigas, George, Konitsiotis, Spyridon, Fotiadis, Dimitrios I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672276/
https://www.ncbi.nlm.nih.gov/pubmed/34883805
http://dx.doi.org/10.3390/s21237801
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author Kostikis, Nicholas
Rigas, George
Konitsiotis, Spyridon
Fotiadis, Dimitrios I.
author_facet Kostikis, Nicholas
Rigas, George
Konitsiotis, Spyridon
Fotiadis, Dimitrios I.
author_sort Kostikis, Nicholas
collection PubMed
description Sensor placement identification in body sensor networks is an important feature, which could render such a system more robust, transparent to the user, and easy to wear for long term data collection. It can be considered an active measure to avoid the misuse of a sensing system, specifically as these platforms become more ubiquitous and, apart from their research orientation, start to enter industries, such as fitness and health. In this work we discuss the offline, fixed class, sensor placement identification method implemented in PDMonitor(®), a medical device for long-term Parkinson’s disease monitoring at home. We analyze the stepwise procedure used to accurately identify the wearables depending on how many are used, from two to five, given five predefined body positions. Finally, we present the results of evaluating the method in 88 subjects, 61 Parkinson’s disease patients and 27 healthy subjects, when the overall average accuracy reached 99.1%.
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spelling pubmed-86722762021-12-16 Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease Kostikis, Nicholas Rigas, George Konitsiotis, Spyridon Fotiadis, Dimitrios I. Sensors (Basel) Article Sensor placement identification in body sensor networks is an important feature, which could render such a system more robust, transparent to the user, and easy to wear for long term data collection. It can be considered an active measure to avoid the misuse of a sensing system, specifically as these platforms become more ubiquitous and, apart from their research orientation, start to enter industries, such as fitness and health. In this work we discuss the offline, fixed class, sensor placement identification method implemented in PDMonitor(®), a medical device for long-term Parkinson’s disease monitoring at home. We analyze the stepwise procedure used to accurately identify the wearables depending on how many are used, from two to five, given five predefined body positions. Finally, we present the results of evaluating the method in 88 subjects, 61 Parkinson’s disease patients and 27 healthy subjects, when the overall average accuracy reached 99.1%. MDPI 2021-11-24 /pmc/articles/PMC8672276/ /pubmed/34883805 http://dx.doi.org/10.3390/s21237801 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kostikis, Nicholas
Rigas, George
Konitsiotis, Spyridon
Fotiadis, Dimitrios I.
Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease
title Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease
title_full Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease
title_fullStr Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease
title_full_unstemmed Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease
title_short Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease
title_sort configurable offline sensor placement identification for a medical device monitoring parkinson’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8672276/
https://www.ncbi.nlm.nih.gov/pubmed/34883805
http://dx.doi.org/10.3390/s21237801
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