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Development and Validation of Ambulosono: A Wearable Sensor for Bio-Feedback Rehabilitation Training
Wearable technology-based measurement systems hold potential for the therapeutic and rehabilitation management of patients with various chronic diseases. The purpose of this study was to assess the accuracy and test–retest reliability of a new-generation wearable sensor-based system, dubbed Ambuloso...
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/PMC6387196/ https://www.ncbi.nlm.nih.gov/pubmed/30743986 http://dx.doi.org/10.3390/s19030686 |
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author | Chomiak, Taylor Sidhu, Abhijot Singh Watts, Alexander Su, Luke Graham, Brian Wu, Joshua Classen, Suzanne Falter, Brian Hu, Bin |
author_facet | Chomiak, Taylor Sidhu, Abhijot Singh Watts, Alexander Su, Luke Graham, Brian Wu, Joshua Classen, Suzanne Falter, Brian Hu, Bin |
author_sort | Chomiak, Taylor |
collection | PubMed |
description | Wearable technology-based measurement systems hold potential for the therapeutic and rehabilitation management of patients with various chronic diseases. The purpose of this study was to assess the accuracy and test–retest reliability of a new-generation wearable sensor-based system, dubbed Ambulosono, for bio-feedback training. The Ambulosono sensor system was cross-validated by comparing its functionality with the iPod touch (4th generation) sensor system. Fifteen participants underwent a gait test to measure various gait parameters while wearing both the iPod-based and Ambulosono sensors simultaneously. The physically measured values (i.e., the true values) of step length, distance traveled, velocity, and cadence were then compared to those obtained via the two-sensor systems using the same calculation algorithms. While the mean percentage error was <10% for all measured parameters, and the intra-class correlation coefficient revealed a high level of agreement between trials for both sensor systems, it was found that the Ambulosono sensor system outperformed the iPod-based system in some respects. The Ambulosono sensor system possessed both reliability and accuracy in obtaining gait parameter measurements, which suggests it can serve as an economical alternative to the iPod-based system that is currently used in various clinical rehabilitation programs. |
format | Online Article Text |
id | pubmed-6387196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63871962019-02-26 Development and Validation of Ambulosono: A Wearable Sensor for Bio-Feedback Rehabilitation Training Chomiak, Taylor Sidhu, Abhijot Singh Watts, Alexander Su, Luke Graham, Brian Wu, Joshua Classen, Suzanne Falter, Brian Hu, Bin Sensors (Basel) Communication Wearable technology-based measurement systems hold potential for the therapeutic and rehabilitation management of patients with various chronic diseases. The purpose of this study was to assess the accuracy and test–retest reliability of a new-generation wearable sensor-based system, dubbed Ambulosono, for bio-feedback training. The Ambulosono sensor system was cross-validated by comparing its functionality with the iPod touch (4th generation) sensor system. Fifteen participants underwent a gait test to measure various gait parameters while wearing both the iPod-based and Ambulosono sensors simultaneously. The physically measured values (i.e., the true values) of step length, distance traveled, velocity, and cadence were then compared to those obtained via the two-sensor systems using the same calculation algorithms. While the mean percentage error was <10% for all measured parameters, and the intra-class correlation coefficient revealed a high level of agreement between trials for both sensor systems, it was found that the Ambulosono sensor system outperformed the iPod-based system in some respects. The Ambulosono sensor system possessed both reliability and accuracy in obtaining gait parameter measurements, which suggests it can serve as an economical alternative to the iPod-based system that is currently used in various clinical rehabilitation programs. MDPI 2019-02-08 /pmc/articles/PMC6387196/ /pubmed/30743986 http://dx.doi.org/10.3390/s19030686 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 | Communication Chomiak, Taylor Sidhu, Abhijot Singh Watts, Alexander Su, Luke Graham, Brian Wu, Joshua Classen, Suzanne Falter, Brian Hu, Bin Development and Validation of Ambulosono: A Wearable Sensor for Bio-Feedback Rehabilitation Training |
title | Development and Validation of Ambulosono: A Wearable Sensor for Bio-Feedback Rehabilitation Training |
title_full | Development and Validation of Ambulosono: A Wearable Sensor for Bio-Feedback Rehabilitation Training |
title_fullStr | Development and Validation of Ambulosono: A Wearable Sensor for Bio-Feedback Rehabilitation Training |
title_full_unstemmed | Development and Validation of Ambulosono: A Wearable Sensor for Bio-Feedback Rehabilitation Training |
title_short | Development and Validation of Ambulosono: A Wearable Sensor for Bio-Feedback Rehabilitation Training |
title_sort | development and validation of ambulosono: a wearable sensor for bio-feedback rehabilitation training |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387196/ https://www.ncbi.nlm.nih.gov/pubmed/30743986 http://dx.doi.org/10.3390/s19030686 |
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