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Assessing Anxiety Disorders Using Wearable Devices: Challenges and Future Directions

Wearable devices (WD) are starting to increasingly be used for interventions to promote well-being by reducing anxiety disorders (AD). Electrocardiogram (ECG) signal is one of the most commonly used biosignals for assessing the cardiovascular system as it significantly reflects the activity of the a...

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Detalles Bibliográficos
Autores principales: Elgendi, Mohamed, Menon, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468793/
https://www.ncbi.nlm.nih.gov/pubmed/30823690
http://dx.doi.org/10.3390/brainsci9030050
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author Elgendi, Mohamed
Menon, Carlo
author_facet Elgendi, Mohamed
Menon, Carlo
author_sort Elgendi, Mohamed
collection PubMed
description Wearable devices (WD) are starting to increasingly be used for interventions to promote well-being by reducing anxiety disorders (AD). Electrocardiogram (ECG) signal is one of the most commonly used biosignals for assessing the cardiovascular system as it significantly reflects the activity of the autonomic nervous system during emotional changes. Little is known about the accuracy of using ECG features for detecting ADs. Moreover, during our literature review, a limited number of studies were found that involve ECG collection using WD for promoting mental well-being. Thus, for the sake of validating the reliability of ECG features for detecting anxiety in WD, we screened 1040 articles, and only 22 were considered for our study; specifically 6 on panic, 4 on post-traumatic stress, 4 on generalized anxiety, 3 on social, 3 on mixed, and 2 on obsessive-compulsive anxiety disorder articles. Most experimental studies had controversial results. Upon reviewing each of these papers, it became apparent that the use of ECG features for detecting different types of anxiety is controversial, and the use of ECG-WD is an emerging area of research, with limited evidence suggesting its reliability. Due to the clinical nature of most studies, it is difficult to determine the specific impact of ECG features on detecting ADs, suggesting the need for more robust studies following our proposed recommendations.
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spelling pubmed-64687932019-04-23 Assessing Anxiety Disorders Using Wearable Devices: Challenges and Future Directions Elgendi, Mohamed Menon, Carlo Brain Sci Review Wearable devices (WD) are starting to increasingly be used for interventions to promote well-being by reducing anxiety disorders (AD). Electrocardiogram (ECG) signal is one of the most commonly used biosignals for assessing the cardiovascular system as it significantly reflects the activity of the autonomic nervous system during emotional changes. Little is known about the accuracy of using ECG features for detecting ADs. Moreover, during our literature review, a limited number of studies were found that involve ECG collection using WD for promoting mental well-being. Thus, for the sake of validating the reliability of ECG features for detecting anxiety in WD, we screened 1040 articles, and only 22 were considered for our study; specifically 6 on panic, 4 on post-traumatic stress, 4 on generalized anxiety, 3 on social, 3 on mixed, and 2 on obsessive-compulsive anxiety disorder articles. Most experimental studies had controversial results. Upon reviewing each of these papers, it became apparent that the use of ECG features for detecting different types of anxiety is controversial, and the use of ECG-WD is an emerging area of research, with limited evidence suggesting its reliability. Due to the clinical nature of most studies, it is difficult to determine the specific impact of ECG features on detecting ADs, suggesting the need for more robust studies following our proposed recommendations. MDPI 2019-03-01 /pmc/articles/PMC6468793/ /pubmed/30823690 http://dx.doi.org/10.3390/brainsci9030050 Text en © 2019 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
Elgendi, Mohamed
Menon, Carlo
Assessing Anxiety Disorders Using Wearable Devices: Challenges and Future Directions
title Assessing Anxiety Disorders Using Wearable Devices: Challenges and Future Directions
title_full Assessing Anxiety Disorders Using Wearable Devices: Challenges and Future Directions
title_fullStr Assessing Anxiety Disorders Using Wearable Devices: Challenges and Future Directions
title_full_unstemmed Assessing Anxiety Disorders Using Wearable Devices: Challenges and Future Directions
title_short Assessing Anxiety Disorders Using Wearable Devices: Challenges and Future Directions
title_sort assessing anxiety disorders using wearable devices: challenges and future directions
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468793/
https://www.ncbi.nlm.nih.gov/pubmed/30823690
http://dx.doi.org/10.3390/brainsci9030050
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