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Emerging Wearable Biosensor Technologies for Stress Monitoring and Their Real-World Applications
Wearable devices are being developed faster and applied more widely. Wearables have been used to monitor movement-related physiological indices, including heartbeat, movement, and other exercise metrics, for health purposes. People are also paying more attention to mental health issues, such as stre...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776100/ https://www.ncbi.nlm.nih.gov/pubmed/36551064 http://dx.doi.org/10.3390/bios12121097 |
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author | Wu, Ju-Yu Ching, Congo Tak-Shing Wang, Hui-Min David Liao, Lun-De |
author_facet | Wu, Ju-Yu Ching, Congo Tak-Shing Wang, Hui-Min David Liao, Lun-De |
author_sort | Wu, Ju-Yu |
collection | PubMed |
description | Wearable devices are being developed faster and applied more widely. Wearables have been used to monitor movement-related physiological indices, including heartbeat, movement, and other exercise metrics, for health purposes. People are also paying more attention to mental health issues, such as stress management. Wearable devices can be used to monitor emotional status and provide preliminary diagnoses and guided training functions. The nervous system responds to stress, which directly affects eye movements and sweat secretion. Therefore, the changes in brain potential, eye potential, and cortisol content in sweat could be used to interpret emotional changes, fatigue levels, and physiological and psychological stress. To better assess users, stress-sensing devices can be integrated with applications to improve cognitive function, attention, sports performance, learning ability, and stress release. These application-related wearables can be used in medical diagnosis and treatment, such as for attention-deficit hyperactivity disorder (ADHD), traumatic stress syndrome, and insomnia, thus facilitating precision medicine. However, many factors contribute to data errors and incorrect assessments, including the various wearable devices, sensor types, data reception methods, data processing accuracy and algorithms, application reliability and validity, and actual user actions. Therefore, in the future, medical platforms for wearable devices and applications should be developed, and product implementations should be evaluated clinically to confirm product accuracy and perform reliable research. |
format | Online Article Text |
id | pubmed-9776100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97761002022-12-23 Emerging Wearable Biosensor Technologies for Stress Monitoring and Their Real-World Applications Wu, Ju-Yu Ching, Congo Tak-Shing Wang, Hui-Min David Liao, Lun-De Biosensors (Basel) Editorial Wearable devices are being developed faster and applied more widely. Wearables have been used to monitor movement-related physiological indices, including heartbeat, movement, and other exercise metrics, for health purposes. People are also paying more attention to mental health issues, such as stress management. Wearable devices can be used to monitor emotional status and provide preliminary diagnoses and guided training functions. The nervous system responds to stress, which directly affects eye movements and sweat secretion. Therefore, the changes in brain potential, eye potential, and cortisol content in sweat could be used to interpret emotional changes, fatigue levels, and physiological and psychological stress. To better assess users, stress-sensing devices can be integrated with applications to improve cognitive function, attention, sports performance, learning ability, and stress release. These application-related wearables can be used in medical diagnosis and treatment, such as for attention-deficit hyperactivity disorder (ADHD), traumatic stress syndrome, and insomnia, thus facilitating precision medicine. However, many factors contribute to data errors and incorrect assessments, including the various wearable devices, sensor types, data reception methods, data processing accuracy and algorithms, application reliability and validity, and actual user actions. Therefore, in the future, medical platforms for wearable devices and applications should be developed, and product implementations should be evaluated clinically to confirm product accuracy and perform reliable research. MDPI 2022-11-30 /pmc/articles/PMC9776100/ /pubmed/36551064 http://dx.doi.org/10.3390/bios12121097 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Editorial Wu, Ju-Yu Ching, Congo Tak-Shing Wang, Hui-Min David Liao, Lun-De Emerging Wearable Biosensor Technologies for Stress Monitoring and Their Real-World Applications |
title | Emerging Wearable Biosensor Technologies for Stress Monitoring and Their Real-World Applications |
title_full | Emerging Wearable Biosensor Technologies for Stress Monitoring and Their Real-World Applications |
title_fullStr | Emerging Wearable Biosensor Technologies for Stress Monitoring and Their Real-World Applications |
title_full_unstemmed | Emerging Wearable Biosensor Technologies for Stress Monitoring and Their Real-World Applications |
title_short | Emerging Wearable Biosensor Technologies for Stress Monitoring and Their Real-World Applications |
title_sort | emerging wearable biosensor technologies for stress monitoring and their real-world applications |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776100/ https://www.ncbi.nlm.nih.gov/pubmed/36551064 http://dx.doi.org/10.3390/bios12121097 |
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