A multimodal depression recognition method based on EEG-fNIRS-SDS

Key Points

• Utilizing EEG and fNIRS, the method effectively identifies depression symptoms with a promising accuracy rate.
• Key metrics reveal that this multimodal approach leverages both neural and vascular data for better recognition.
• Assessment using a multimodal approach combines electroencephalography and functional near-infrared spectroscopy.
• This highlights the need for further validation in clinical settings to confirm effectiveness and reliability.