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Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors
Skin conductivity (i.e., sweat) forms the basis of many physiology-based emotion and stress detection systems. However, such systems typically do not detect the biomarkers present in sweat, and thus do not take advantage of the biological information in the sweat. Likewise, such systems do not detec...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235866/ https://www.ncbi.nlm.nih.gov/pubmed/32316280 http://dx.doi.org/10.3390/bios10040040 |
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author | Zamkah, Abdulaziz Hui, Terence Andrews, Simon Dey, Nilanjan Shi, Fuqian Sherratt, R. Simon |
author_facet | Zamkah, Abdulaziz Hui, Terence Andrews, Simon Dey, Nilanjan Shi, Fuqian Sherratt, R. Simon |
author_sort | Zamkah, Abdulaziz |
collection | PubMed |
description | Skin conductivity (i.e., sweat) forms the basis of many physiology-based emotion and stress detection systems. However, such systems typically do not detect the biomarkers present in sweat, and thus do not take advantage of the biological information in the sweat. Likewise, such systems do not detect the volatile organic components (VOC’s) created under stressful conditions. This work presents a review into the current status of human emotional stress biomarkers and proposes the major potential biomarkers for future wearable sensors in affective systems. Emotional stress has been classified as a major contributor in several social problems, related to crime, health, the economy, and indeed quality of life. While blood cortisol tests, electroencephalography and physiological parameter methods are the gold standards for measuring stress; however, they are typically invasive or inconvenient and not suitable for wearable real-time stress monitoring. Alternatively, cortisol in biofluids and VOCs emitted from the skin appear to be practical and useful markers for sensors to detect emotional stress events. This work has identified antistress hormones and cortisol metabolites as the primary stress biomarkers that can be used in future sensors for wearable affective systems. |
format | Online Article Text |
id | pubmed-7235866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72358662020-05-28 Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors Zamkah, Abdulaziz Hui, Terence Andrews, Simon Dey, Nilanjan Shi, Fuqian Sherratt, R. Simon Biosensors (Basel) Review Skin conductivity (i.e., sweat) forms the basis of many physiology-based emotion and stress detection systems. However, such systems typically do not detect the biomarkers present in sweat, and thus do not take advantage of the biological information in the sweat. Likewise, such systems do not detect the volatile organic components (VOC’s) created under stressful conditions. This work presents a review into the current status of human emotional stress biomarkers and proposes the major potential biomarkers for future wearable sensors in affective systems. Emotional stress has been classified as a major contributor in several social problems, related to crime, health, the economy, and indeed quality of life. While blood cortisol tests, electroencephalography and physiological parameter methods are the gold standards for measuring stress; however, they are typically invasive or inconvenient and not suitable for wearable real-time stress monitoring. Alternatively, cortisol in biofluids and VOCs emitted from the skin appear to be practical and useful markers for sensors to detect emotional stress events. This work has identified antistress hormones and cortisol metabolites as the primary stress biomarkers that can be used in future sensors for wearable affective systems. MDPI 2020-04-16 /pmc/articles/PMC7235866/ /pubmed/32316280 http://dx.doi.org/10.3390/bios10040040 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 | Review Zamkah, Abdulaziz Hui, Terence Andrews, Simon Dey, Nilanjan Shi, Fuqian Sherratt, R. Simon Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors |
title | Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors |
title_full | Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors |
title_fullStr | Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors |
title_full_unstemmed | Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors |
title_short | Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors |
title_sort | identification of suitable biomarkers for stress and emotion detection for future personal affective wearable sensors |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235866/ https://www.ncbi.nlm.nih.gov/pubmed/32316280 http://dx.doi.org/10.3390/bios10040040 |
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