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AI-Enabled Wearable and Flexible Electronics for Assessing Full Personal Exposures
Research on the exposome has been extended to personal exposures, and full assessment of personal exposures is of great significance for personal health monitoring and epidemiological studies. Compared with static measurement instruments, wearable sensors are more suitable for dynamic personal expos...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454737/ https://www.ncbi.nlm.nih.gov/pubmed/34557709 http://dx.doi.org/10.1016/j.xinn.2020.100031 |
_version_ | 1784570546508267520 |
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author | Shan, Guangcun Li, Xin Huang, Wei |
author_facet | Shan, Guangcun Li, Xin Huang, Wei |
author_sort | Shan, Guangcun |
collection | PubMed |
description | Research on the exposome has been extended to personal exposures, and full assessment of personal exposures is of great significance for personal health monitoring and epidemiological studies. Compared with static measurement instruments, wearable sensors are more suitable for dynamic personal exposures assessment. The development of flexible wearable sensors with the features of being physically comfortable and easy to use can be a promising solution for the measurement of personal exposures. With the support of big data and AI, large-scale personal exposures assessment could foster the transition from population-based to individual-based epidemiological studies and upgrade the intelligence level of medical services. |
format | Online Article Text |
id | pubmed-8454737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84547372021-09-22 AI-Enabled Wearable and Flexible Electronics for Assessing Full Personal Exposures Shan, Guangcun Li, Xin Huang, Wei Innovation (Camb) Perspective Research on the exposome has been extended to personal exposures, and full assessment of personal exposures is of great significance for personal health monitoring and epidemiological studies. Compared with static measurement instruments, wearable sensors are more suitable for dynamic personal exposures assessment. The development of flexible wearable sensors with the features of being physically comfortable and easy to use can be a promising solution for the measurement of personal exposures. With the support of big data and AI, large-scale personal exposures assessment could foster the transition from population-based to individual-based epidemiological studies and upgrade the intelligence level of medical services. Elsevier 2020-08-05 /pmc/articles/PMC8454737/ /pubmed/34557709 http://dx.doi.org/10.1016/j.xinn.2020.100031 Text en © 2020 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Perspective Shan, Guangcun Li, Xin Huang, Wei AI-Enabled Wearable and Flexible Electronics for Assessing Full Personal Exposures |
title | AI-Enabled Wearable and Flexible Electronics for Assessing Full Personal Exposures |
title_full | AI-Enabled Wearable and Flexible Electronics for Assessing Full Personal Exposures |
title_fullStr | AI-Enabled Wearable and Flexible Electronics for Assessing Full Personal Exposures |
title_full_unstemmed | AI-Enabled Wearable and Flexible Electronics for Assessing Full Personal Exposures |
title_short | AI-Enabled Wearable and Flexible Electronics for Assessing Full Personal Exposures |
title_sort | ai-enabled wearable and flexible electronics for assessing full personal exposures |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454737/ https://www.ncbi.nlm.nih.gov/pubmed/34557709 http://dx.doi.org/10.1016/j.xinn.2020.100031 |
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