Optimal Set of Time-Domain Features of EEG Signal Predicts Outcome of Depression Therapy

Mutlu Mete, Hesam Akbari, Nurcan Yuruk. Optimal Set of Time-Domain Features of EEG Signal Predicts Outcome of Depression Therapy. In 25th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2025, Athens, Greece, November 6-8, 2025. pages 627-634, IEEE, 2025. [doi]

@inproceedings{MeteAY25,
  title = {Optimal Set of Time-Domain Features of EEG Signal Predicts Outcome of Depression Therapy},
  author = {Mutlu Mete and Hesam Akbari and Nurcan Yuruk},
  year = {2025},
  doi = {10.1109/BIBE66822.2025.00109},
  url = {https://doi.org/10.1109/BIBE66822.2025.00109},
  researchr = {https://researchr.org/publication/MeteAY25},
  cites = {0},
  citedby = {0},
  pages = {627-634},
  booktitle = {25th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2025, Athens, Greece, November 6-8, 2025},
  publisher = {IEEE},
  isbn = {979-8-3315-5899-4},
}