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A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring
Pervasive computing is changing the monitoring landscape for patients to communicate their healthcare information in real-time to clinicians and researchers. We developed a framework based on a smartwatch application allowing researchers to execute a study that is customized to their needs. The appl...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743804/ http://dx.doi.org/10.1093/geroni/igaa057.2895 |
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author | Karnati, Yashaswi Reddy, Rohith Reddy Kessi Thakkar, Aseem McConnell, Matthew Mendoza, Tonatiuh Mardini, Mamoun Manini, Todd Ranka, Sanjay |
author_facet | Karnati, Yashaswi Reddy, Rohith Reddy Kessi Thakkar, Aseem McConnell, Matthew Mendoza, Tonatiuh Mardini, Mamoun Manini, Todd Ranka, Sanjay |
author_sort | Karnati, Yashaswi |
collection | PubMed |
description | Pervasive computing is changing the monitoring landscape for patients to communicate their healthcare information in real-time to clinicians and researchers. We developed a framework based on a smartwatch application allowing researchers to execute a study that is customized to their needs. The application is configured to collect patient generated data in remote settings from both sensor-based (location and movement) and user-reported health factors through the visual display. For example, data are used to investigate concurrent symptoms and mobility patterns in free-living conditions. To support the collection and analysis of this data in a robust and scalable fashion, we have developed an event driven, serverless computing platform using Amazon cloud services. This system also allows multiple campaigns to run concurrently each under the auspices of a different researcher. The framework is ideal for harnessing and scaling the utilization of smart wearable devices in research and clinical settings. |
format | Online Article Text |
id | pubmed-7743804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77438042020-12-21 A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring Karnati, Yashaswi Reddy, Rohith Reddy Kessi Thakkar, Aseem McConnell, Matthew Mendoza, Tonatiuh Mardini, Mamoun Manini, Todd Ranka, Sanjay Innov Aging Abstracts Pervasive computing is changing the monitoring landscape for patients to communicate their healthcare information in real-time to clinicians and researchers. We developed a framework based on a smartwatch application allowing researchers to execute a study that is customized to their needs. The application is configured to collect patient generated data in remote settings from both sensor-based (location and movement) and user-reported health factors through the visual display. For example, data are used to investigate concurrent symptoms and mobility patterns in free-living conditions. To support the collection and analysis of this data in a robust and scalable fashion, we have developed an event driven, serverless computing platform using Amazon cloud services. This system also allows multiple campaigns to run concurrently each under the auspices of a different researcher. The framework is ideal for harnessing and scaling the utilization of smart wearable devices in research and clinical settings. Oxford University Press 2020-12-16 /pmc/articles/PMC7743804/ http://dx.doi.org/10.1093/geroni/igaa057.2895 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Karnati, Yashaswi Reddy, Rohith Reddy Kessi Thakkar, Aseem McConnell, Matthew Mendoza, Tonatiuh Mardini, Mamoun Manini, Todd Ranka, Sanjay A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring |
title | A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring |
title_full | A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring |
title_fullStr | A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring |
title_full_unstemmed | A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring |
title_short | A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring |
title_sort | smartwatch-based framework for real-time and online assessment and mobility monitoring |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743804/ http://dx.doi.org/10.1093/geroni/igaa057.2895 |
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