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A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson’s Disease Patients
Inertial measurement units (IMUs) are devices used, among other fields, in health applications, since they are light, small and effective. More concretely, IMUs have been demonstrated to be useful in the monitoring of motor symptoms of Parkinson’s disease (PD). In this sense, most of previous works...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422188/ https://www.ncbi.nlm.nih.gov/pubmed/28398265 http://dx.doi.org/10.3390/s17040827 |
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author | Rodríguez-Martín, Daniel Pérez-López, Carlos Samà, Albert Català, Andreu Moreno Arostegui, Joan Manuel Cabestany, Joan Mestre, Berta Alcaine, Sheila Prats, Anna de la Cruz Crespo, María Bayés, Àngels |
author_facet | Rodríguez-Martín, Daniel Pérez-López, Carlos Samà, Albert Català, Andreu Moreno Arostegui, Joan Manuel Cabestany, Joan Mestre, Berta Alcaine, Sheila Prats, Anna de la Cruz Crespo, María Bayés, Àngels |
author_sort | Rodríguez-Martín, Daniel |
collection | PubMed |
description | Inertial measurement units (IMUs) are devices used, among other fields, in health applications, since they are light, small and effective. More concretely, IMUs have been demonstrated to be useful in the monitoring of motor symptoms of Parkinson’s disease (PD). In this sense, most of previous works have attempted to assess PD symptoms in controlled environments or short tests. This paper presents the design of an IMU, called 9 × 3, that aims to assess PD symptoms, enabling the possibility to perform a map of patients’ symptoms at their homes during long periods. The device is able to acquire and store raw inertial data for artificial intelligence algorithmic training purposes. Furthermore, the presented IMU enables the real-time execution of the developed and embedded learning models. Results show the great flexibility of the 9 × 3, storing inertial information and algorithm outputs, sending messages to external devices and being able to detect freezing of gait and bradykinetic gait. Results obtained in 12 patients exhibit a sensitivity and specificity over 80%. Additionally, the system enables working 23 days (at waking hours) with a 1200 mAh battery and a sampling rate of 50 Hz, opening up the possibility to be used for other applications like wellbeing and sports. |
format | Online Article Text |
id | pubmed-5422188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-54221882017-05-12 A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson’s Disease Patients Rodríguez-Martín, Daniel Pérez-López, Carlos Samà, Albert Català, Andreu Moreno Arostegui, Joan Manuel Cabestany, Joan Mestre, Berta Alcaine, Sheila Prats, Anna de la Cruz Crespo, María Bayés, Àngels Sensors (Basel) Article Inertial measurement units (IMUs) are devices used, among other fields, in health applications, since they are light, small and effective. More concretely, IMUs have been demonstrated to be useful in the monitoring of motor symptoms of Parkinson’s disease (PD). In this sense, most of previous works have attempted to assess PD symptoms in controlled environments or short tests. This paper presents the design of an IMU, called 9 × 3, that aims to assess PD symptoms, enabling the possibility to perform a map of patients’ symptoms at their homes during long periods. The device is able to acquire and store raw inertial data for artificial intelligence algorithmic training purposes. Furthermore, the presented IMU enables the real-time execution of the developed and embedded learning models. Results show the great flexibility of the 9 × 3, storing inertial information and algorithm outputs, sending messages to external devices and being able to detect freezing of gait and bradykinetic gait. Results obtained in 12 patients exhibit a sensitivity and specificity over 80%. Additionally, the system enables working 23 days (at waking hours) with a 1200 mAh battery and a sampling rate of 50 Hz, opening up the possibility to be used for other applications like wellbeing and sports. MDPI 2017-04-11 /pmc/articles/PMC5422188/ /pubmed/28398265 http://dx.doi.org/10.3390/s17040827 Text en © 2017 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 Rodríguez-Martín, Daniel Pérez-López, Carlos Samà, Albert Català, Andreu Moreno Arostegui, Joan Manuel Cabestany, Joan Mestre, Berta Alcaine, Sheila Prats, Anna de la Cruz Crespo, María Bayés, Àngels A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson’s Disease Patients |
title | A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson’s Disease Patients |
title_full | A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson’s Disease Patients |
title_fullStr | A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson’s Disease Patients |
title_full_unstemmed | A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson’s Disease Patients |
title_short | A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson’s Disease Patients |
title_sort | waist-worn inertial measurement unit for long-term monitoring of parkinson’s disease patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5422188/ https://www.ncbi.nlm.nih.gov/pubmed/28398265 http://dx.doi.org/10.3390/s17040827 |
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