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Accuracy of Mobile Applications versus Wearable Devices in Long-Term Step Measurements

Fitness sensors and health systems are paving the way toward improving the quality of medical care by exploiting the benefits of new technology. For example, the great amount of patient-generated health data available today gives new opportunities to measure life parameters in real time and create a...

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Detalles Bibliográficos
Autores principales: Piccinini, Filippo, Martinelli, Giovanni, Carbonaro, Antonella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663794/
https://www.ncbi.nlm.nih.gov/pubmed/33167361
http://dx.doi.org/10.3390/s20216293
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author Piccinini, Filippo
Martinelli, Giovanni
Carbonaro, Antonella
author_facet Piccinini, Filippo
Martinelli, Giovanni
Carbonaro, Antonella
author_sort Piccinini, Filippo
collection PubMed
description Fitness sensors and health systems are paving the way toward improving the quality of medical care by exploiting the benefits of new technology. For example, the great amount of patient-generated health data available today gives new opportunities to measure life parameters in real time and create a revolution in communication for professionals and patients. In this work, we concentrated on the basic parameter typically measured by fitness applications and devices—the number of steps taken daily. In particular, the main goal of this study was to compare the accuracy and precision of smartphone applications versus those of wearable devices to give users an idea about what can be expected regarding the relative difference in measurements achieved using different system typologies. In particular, the data obtained showed a difference of approximately 30%, proving that smartphone applications provide inaccurate measurements in long-term analysis, while wearable devices are precise and accurate. Accordingly, we challenge the reliability of previous studies reporting data collected with phone-based applications, and besides discussing the current limitations, we support the use of wearable devices for mHealth.
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spelling pubmed-76637942020-11-14 Accuracy of Mobile Applications versus Wearable Devices in Long-Term Step Measurements Piccinini, Filippo Martinelli, Giovanni Carbonaro, Antonella Sensors (Basel) Article Fitness sensors and health systems are paving the way toward improving the quality of medical care by exploiting the benefits of new technology. For example, the great amount of patient-generated health data available today gives new opportunities to measure life parameters in real time and create a revolution in communication for professionals and patients. In this work, we concentrated on the basic parameter typically measured by fitness applications and devices—the number of steps taken daily. In particular, the main goal of this study was to compare the accuracy and precision of smartphone applications versus those of wearable devices to give users an idea about what can be expected regarding the relative difference in measurements achieved using different system typologies. In particular, the data obtained showed a difference of approximately 30%, proving that smartphone applications provide inaccurate measurements in long-term analysis, while wearable devices are precise and accurate. Accordingly, we challenge the reliability of previous studies reporting data collected with phone-based applications, and besides discussing the current limitations, we support the use of wearable devices for mHealth. MDPI 2020-11-05 /pmc/articles/PMC7663794/ /pubmed/33167361 http://dx.doi.org/10.3390/s20216293 Text en © 2020 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
Piccinini, Filippo
Martinelli, Giovanni
Carbonaro, Antonella
Accuracy of Mobile Applications versus Wearable Devices in Long-Term Step Measurements
title Accuracy of Mobile Applications versus Wearable Devices in Long-Term Step Measurements
title_full Accuracy of Mobile Applications versus Wearable Devices in Long-Term Step Measurements
title_fullStr Accuracy of Mobile Applications versus Wearable Devices in Long-Term Step Measurements
title_full_unstemmed Accuracy of Mobile Applications versus Wearable Devices in Long-Term Step Measurements
title_short Accuracy of Mobile Applications versus Wearable Devices in Long-Term Step Measurements
title_sort accuracy of mobile applications versus wearable devices in long-term step measurements
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663794/
https://www.ncbi.nlm.nih.gov/pubmed/33167361
http://dx.doi.org/10.3390/s20216293
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