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Design and Accuracy of an Instrumented Insole Using Pressure Sensors for Step Count
Despite the accessibility of several step count measurement systems, count accuracy in real environments remains a major challenge. Microelectromechanical systems and pressure sensors seem to present a potential solution for step count accuracy. The purpose of this study was to equip an insole with...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427154/ https://www.ncbi.nlm.nih.gov/pubmed/30813515 http://dx.doi.org/10.3390/s19050984 |
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author | Ngueleu, Armelle M. Blanchette, Andréanne K. Bouyer, Laurent Maltais, Désirée McFadyen, Bradford J. Moffet, Hélène Batcho, Charles S. |
author_facet | Ngueleu, Armelle M. Blanchette, Andréanne K. Bouyer, Laurent Maltais, Désirée McFadyen, Bradford J. Moffet, Hélène Batcho, Charles S. |
author_sort | Ngueleu, Armelle M. |
collection | PubMed |
description | Despite the accessibility of several step count measurement systems, count accuracy in real environments remains a major challenge. Microelectromechanical systems and pressure sensors seem to present a potential solution for step count accuracy. The purpose of this study was to equip an insole with pressure sensors and to test a novel and potentially more accurate method of detecting steps. Methods: Five force-sensitive resistors (FSR) were integrated under the heel, the first, third, and fifth metatarsal heads and the great toe. This system was tested with twelve healthy participants at self-selected and maximal walking speeds in indoor and outdoor settings. Step counts were computed based on previously reported calculation methods, individual and averaged FSR-signals, and a new method: cumulative sum of all FSR-signals. These data were compared to a direct visual step count for accuracy analysis. Results: This system accurately detected steps with success rates ranging from 95.5 ± 3.5% to 98.5 ± 2.1% (indoor) and from 96.5 ± 3.9% to 98.0 ± 2.3% (outdoor) for self-selected walking speeds and from 98.1 ± 2.7% to 99.0 ± 0.7% (indoor) and 97.0 ± 6.2% to 99.4 ± 0.7% (outdoor) for maximal walking speeds. Cumulative sum of pressure signals during the stance phase showed high step detection accuracy (99.5 ± 0.7%–99.6 ± 0.4%) and appeared to be a valid method of step counting. Conclusions: The accuracy of step counts varied according to the calculation methods, with cumulative sum-based method being highly accurate. |
format | Online Article Text |
id | pubmed-6427154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64271542019-04-15 Design and Accuracy of an Instrumented Insole Using Pressure Sensors for Step Count Ngueleu, Armelle M. Blanchette, Andréanne K. Bouyer, Laurent Maltais, Désirée McFadyen, Bradford J. Moffet, Hélène Batcho, Charles S. Sensors (Basel) Article Despite the accessibility of several step count measurement systems, count accuracy in real environments remains a major challenge. Microelectromechanical systems and pressure sensors seem to present a potential solution for step count accuracy. The purpose of this study was to equip an insole with pressure sensors and to test a novel and potentially more accurate method of detecting steps. Methods: Five force-sensitive resistors (FSR) were integrated under the heel, the first, third, and fifth metatarsal heads and the great toe. This system was tested with twelve healthy participants at self-selected and maximal walking speeds in indoor and outdoor settings. Step counts were computed based on previously reported calculation methods, individual and averaged FSR-signals, and a new method: cumulative sum of all FSR-signals. These data were compared to a direct visual step count for accuracy analysis. Results: This system accurately detected steps with success rates ranging from 95.5 ± 3.5% to 98.5 ± 2.1% (indoor) and from 96.5 ± 3.9% to 98.0 ± 2.3% (outdoor) for self-selected walking speeds and from 98.1 ± 2.7% to 99.0 ± 0.7% (indoor) and 97.0 ± 6.2% to 99.4 ± 0.7% (outdoor) for maximal walking speeds. Cumulative sum of pressure signals during the stance phase showed high step detection accuracy (99.5 ± 0.7%–99.6 ± 0.4%) and appeared to be a valid method of step counting. Conclusions: The accuracy of step counts varied according to the calculation methods, with cumulative sum-based method being highly accurate. MDPI 2019-02-26 /pmc/articles/PMC6427154/ /pubmed/30813515 http://dx.doi.org/10.3390/s19050984 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 Ngueleu, Armelle M. Blanchette, Andréanne K. Bouyer, Laurent Maltais, Désirée McFadyen, Bradford J. Moffet, Hélène Batcho, Charles S. Design and Accuracy of an Instrumented Insole Using Pressure Sensors for Step Count |
title | Design and Accuracy of an Instrumented Insole Using Pressure Sensors for Step Count |
title_full | Design and Accuracy of an Instrumented Insole Using Pressure Sensors for Step Count |
title_fullStr | Design and Accuracy of an Instrumented Insole Using Pressure Sensors for Step Count |
title_full_unstemmed | Design and Accuracy of an Instrumented Insole Using Pressure Sensors for Step Count |
title_short | Design and Accuracy of an Instrumented Insole Using Pressure Sensors for Step Count |
title_sort | design and accuracy of an instrumented insole using pressure sensors for step count |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427154/ https://www.ncbi.nlm.nih.gov/pubmed/30813515 http://dx.doi.org/10.3390/s19050984 |
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