Multimodal approach to public health interventions using EGG and mobile health technologies
Experimental results indicate that PH-CLIP achieves significant improvements in EEG classification accuracy and mental health prediction efficiency compared to leading EEG analysis models. This framework positions PH-CLIP as a transformative tool in public health monitoring, with the potential to advance large-scale mental health interventions through integrative mobile health technologies.
Authors
- Han Liu (ORCID: https://orcid.org/0000-0003-0647-6627)
- Shuyi Feng (ORCID: https://orcid.org/0000-0002-7815-9682)
- Xiao Zhang (ORCID: https://orcid.org/0000-0003-2107-2057)
- Mingyang Sun (ORCID: https://orcid.org/0000-0003-1136-3766)
Institutions
- Minzu University of China (CN)
- Catholic University of Korea (KR)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-01-22
- DOI
- https://doi.org/10.3389/fpubh.2024.1520343
- Citations
- 2
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 4.88
Funders
- National Office for Philosophy and Social Sciences