Abstract
In this article, a stress monitoring system tailored for individuals with Autism Spectrum Disorders (ASD) and developed for the educational institution is presented. People with ASD face problems with effective stress management due to their high self-perceived levels of stress, poor ability to cope with it, and dificulties with the accurate detection of the source of stress. Consistently, being able to measure stress appears to be highly vital for this specifc group. The design and construction of the measuring system are introduced. The stress monitoring system including autonomic wearable device (wristband), both the electronics and mechanical part, as well as the software application for data analysis are shown. The wearable device includes sensors for measuring heart rate, skin resistance, temperature and movement. A dedicated software application allows for generating reports to evaluate therapeutic effects. The complex stress monitoring system has been tested in an educational institution. It can provide signifcant support in the stress management of people with ASD and become a meaningful assistance in the therapy of neurodiverse individuals.
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Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
IEEE Access
no. 8,
pages 22823 - 22824,
ISSN: 2169-3536 - Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Tomczak M., Wójcikowski M., Pankiewicz B., Łubiński J., Majchrowicz J., Majchrowicz D., Walasiewicz A., Kiliński T., Szczerska M.: Stress Monitoring System for Individuals with Autism Spectrum Disorders// IEEE Access -Vol. 8, (2020), s.22823-22824
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/access.2020.3045633
- Sources of funding:
- Verified by:
- Gdańsk University of Technology
Referenced datasets
- dataset Long-term measurement of physiological parameters - a teenager (60 minutes) - the 2nd serie
- dataset Long-term measurement of physiological parameters - adult (120 minutes)
- dataset Long-term measurement of physiological parameters - a teenager (105 minutes)
- dataset Long-term measurement of physiological parameters - a teenager (100 minutes)
- dataset Long-term measurement of physiological parameters - an adult (100 minutes)
- dataset Long-term measurement of physiological parameters - an adult (70 minutes)
- dataset Long-term measurement of physiological parameters - a teenager (60 min)
- dataset Long-term measurement of physiological parameters - an adult (60 minutes)
- dataset Long-term measurement of physiological parameters - child (120 min)
- dataset Long-term measurement of physiological parameters - child (60 minutes)
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