Data Visualisation on a Mobile App for Real-Time Mental Health Monitoring

Anxiety disorders refer to mental health conditions characterized by excessive and persistent worry, fear or dread, which can interfere with daily life. These disorders are pervasive worldwide but can be treated with psychotherapy, medication, or both. Detecting them in time is key to avoid further...

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Bibliographic Details
Main Authors: Gomes, Nuno, Pato, Matilde, Lourenco, Andre, Marcelo, Renato, Santos, Pedro, Datia, Nuno
Format: Conference Proceeding
Language:English
Subjects:
Anxiety disorders
Data visualisation
Data visualization
Machine Learning
Mental health
Mobile applications
Real-time systems
Telemon-itoring
Tutorials
Wearable computers
Online Access:Request full text
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Summary:Anxiety disorders refer to mental health conditions characterized by excessive and persistent worry, fear or dread, which can interfere with daily life. These disorders are pervasive worldwide but can be treated with psychotherapy, medication, or both. Detecting them in time is key to avoid further severe development after an initial crisis. In this paper, we present a solution based on self-monitoring, using wearables, smartphones and Machine Learning (ML) to assess users' anxiety and panic levels. This is the first paper to embrace and present a visualisation system for mental health focused on patients. User studies support the solution's quality. With this system, patients are empowered to control their situation better, helping the medical staff to get more insight into when and where a crisis occurs.
ISSN:2375-0138
DOI:10.1109/IV60283.2023.00073