Work

Decoding EEG Signals to Predict SSRI Therapy Success in Depression Using Automated Tunable Q-Factor Wavelet Transform and Centered Correntropy

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Bioinformatics and Bioengineering (BIBE)

DOI: 10.1109/bibe66822.2025.00110

Authors: Hesam Akbari, Ram Bilas Pachori, Mutlu Mete

Institutions: University of North Texas, Indian Institute of Technology Indore

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4417250532

FWCI: 2.239

Cites: 9

Cited by: 1

Related to: 10