Wearable Devices for Mental Health: Technology, Challenges and Applications

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E:Engineering and Technology".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 180

Special Issue Editor


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Guest Editor
Robarts Research Institute and Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada
Interests: biophotonics; bio-optics; wearable technology; wearable AI; brain mapping; bionic eye; mental health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wearable technology has emerged as a powerful tool in monitoring and supporting mental health. By integrating sensors, data analysis algorithms, and personalized interventions, wearable devices have the potential to revolutionize how we understand, assess, and address mental health challenges. Wearable devices for mental health offer a unique advantage by allowing continuous monitoring of various physiological and psychological parameters associated with mental well-being. These devices can measure vital signs, such as heart rate, sleep patterns, and activity levels, providing objective data on an individual's stress levels and emotional states. These real-time data allow users and healthcare professionals to gain a deeper understanding of their mental health patterns and identify triggers or patterns that may contribute to stress or mental health challenges. With ongoing research and development, wearable devices for mental health are poised to play a vital role in addressing the global mental health crisis and providing accessible and personalized support to individuals seeking to improve their mental well-being.

This Special Issue calls for original research, reviews, and perspectives on wearable technology for mental health. Topics include device development, anxiety and stress management, mood tracking, behavioral monitoring, clinical applications, cognitive interventions, personalized interventions, ethics, user experience, data analysis, and future directions.

Dr. Ehsan Kamrani
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wearable technology
  • mental health
  • anxiety
  • stress management
  • mood tracking
  • behavioral monitoring
  • brain mapping
  • cognitive intervention
  • personalized interventions
  • emotional well-being

Published Papers

There is no accepted submissions to this special issue at this moment.
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