Machine learning model for reproducing subjective sensations and alleviating sound-induced stress in individuals with developmental disorders
These findings suggest that the prediction model for the Easing task can potentially be developed into a system that automatically reduces sound-induced stress through auditory filtering. Similarly, the model for the Recollection task could be used as a tool for assessing auditory stress. To establish a robust support system, further data collection, particularly from individuals with DD, is necessary.
Authors
- Makoto Wada (ORCID: https://orcid.org/0000-0002-2183-5053)
- Yasuo Kuniyoshi (ORCID: https://orcid.org/0000-0001-8443-4161)
- Itsuki Ichikawa
- Yukie Nagai (ORCID: https://orcid.org/0000-0003-4794-0940)
Institutions
- National Rehabilitation Center for Persons with Disabilities (JP)
- The University of Tokyo (JP)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-03-14
- DOI
- https://doi.org/10.3389/fpsyt.2025.1412019
- Citations
- 1
- Primary Topic
- Hearing Loss and Rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- Japan Society for the Promotion of Science