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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...

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Autores principales: Chomiak, Taylor, Sidhu, Abhijot Singh, Watts, Alexander, Su, Luke, Graham, Brian, Wu, Joshua, Classen, Suzanne, Falter, Brian, Hu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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