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Building on Existing Technology to Enhance Remote Assessments of Brain Health
Tablets, smartphones, linked devices have features such as high-fidelity microphones, accelerometers, GPS locators, and gyroscopes can be used to capture brain health-related data. Collection of data remotely is especially important given the vulnerability of older adults to COVID and the need to pr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969482/ http://dx.doi.org/10.1093/geroni/igab046.528 |
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author | Bazzano, Lydia Fernandez, Camilo Hwang, Philip DeAnda-Duran, Ileana Senko, Enejda Lin, Honghuang Kolachalama, Vijaya Au, Rhoda |
author_facet | Bazzano, Lydia Fernandez, Camilo Hwang, Philip DeAnda-Duran, Ileana Senko, Enejda Lin, Honghuang Kolachalama, Vijaya Au, Rhoda |
author_sort | Bazzano, Lydia |
collection | PubMed |
description | Tablets, smartphones, linked devices have features such as high-fidelity microphones, accelerometers, GPS locators, and gyroscopes can be used to capture brain health-related data. Collection of data remotely is especially important given the vulnerability of older adults to COVID and the need to protect from such exposure. As part of an American Heart Association/Gates Venture Strategically Funded Network, a number of remote assessments are being deployed to capture information related to brain health in a subset of the Bogalusa Heart Study cohort (mean age 51.4, SD 5.3). The Linus Health Platform includes applications that measure cognitive abilities, and collect digital voice features and phone sensor data that can be derived into surrogate measures of cognitive function and mood. A readily available suite of games (Lumosity) is also being used to assess cognitive health. These devices and applications offer a largely unexplored opportunity for acquiring and assessing data related to brain health. |
format | Online Article Text |
id | pubmed-8969482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89694822022-04-01 Building on Existing Technology to Enhance Remote Assessments of Brain Health Bazzano, Lydia Fernandez, Camilo Hwang, Philip DeAnda-Duran, Ileana Senko, Enejda Lin, Honghuang Kolachalama, Vijaya Au, Rhoda Innov Aging Abstracts Tablets, smartphones, linked devices have features such as high-fidelity microphones, accelerometers, GPS locators, and gyroscopes can be used to capture brain health-related data. Collection of data remotely is especially important given the vulnerability of older adults to COVID and the need to protect from such exposure. As part of an American Heart Association/Gates Venture Strategically Funded Network, a number of remote assessments are being deployed to capture information related to brain health in a subset of the Bogalusa Heart Study cohort (mean age 51.4, SD 5.3). The Linus Health Platform includes applications that measure cognitive abilities, and collect digital voice features and phone sensor data that can be derived into surrogate measures of cognitive function and mood. A readily available suite of games (Lumosity) is also being used to assess cognitive health. These devices and applications offer a largely unexplored opportunity for acquiring and assessing data related to brain health. Oxford University Press 2021-12-17 /pmc/articles/PMC8969482/ http://dx.doi.org/10.1093/geroni/igab046.528 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://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/ (https://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 Bazzano, Lydia Fernandez, Camilo Hwang, Philip DeAnda-Duran, Ileana Senko, Enejda Lin, Honghuang Kolachalama, Vijaya Au, Rhoda Building on Existing Technology to Enhance Remote Assessments of Brain Health |
title | Building on Existing Technology to Enhance Remote Assessments of Brain Health |
title_full | Building on Existing Technology to Enhance Remote Assessments of Brain Health |
title_fullStr | Building on Existing Technology to Enhance Remote Assessments of Brain Health |
title_full_unstemmed | Building on Existing Technology to Enhance Remote Assessments of Brain Health |
title_short | Building on Existing Technology to Enhance Remote Assessments of Brain Health |
title_sort | building on existing technology to enhance remote assessments of brain health |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969482/ http://dx.doi.org/10.1093/geroni/igab046.528 |
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