Mental state classification based on electroencephalogram (EEG) using multiclass support vector machine.
This study highlights the effectiveness of EEGbased classification of mental states using the Multiclass SVM method. The findings reinforce the role of EEG as an objective tool for mental state assessment, supporting its potential application in clinical and cognitive research for early detection of mental health disorders.
Authors
- Wardah Rahmatul Islamiyah (ORCID: https://orcid.org/0000-0002-7442-2009)
- Santi Wulan Purnami (ORCID: https://orcid.org/0000-0002-0427-5445)
- Jasmine Zain (ORCID: https://orcid.org/0009-0009-0753-1019)
- Shofi Andari (ORCID: https://orcid.org/0000-0001-5794-2646)
- Margarita Maria Maramis (ORCID: https://orcid.org/0000-0001-8898-5470)
- Yoyok Setyo Hadiwidodo
- D. P. Wulandari
- Sofiatul Karimah
Institutions
- Sepuluh Nopember Institute of Technology (ID)
- Universiti Teknologi MARA (MY)
Publication Details
- Journal
- PubMed
- Published
- 2025-05-01
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00