Automatic detection system for depressive disorder based on high frequency auditory steady-state response

An automatic detection system for depressive disorder based on high frequency auditory steady-state response (ASSR), comprising an auditory stimulation module, a data acquisition module, a signal processing module, a depression detection module and an output module, wherein

• the auditory stimulation module being configured to input 40 Hz frequency-increasing sound stimulation signals to a user to obtain electroencephalogram (EEG) signals;
• the data acquisition module being configured to obtain ASSR data by acquiring the EEG signals by a non-intrusive method and performing preprocessing to the signal;
• the signal processing module being configured to extract depressive disorder-related EEG features from the ASSR data;
• wherein
• the depressive disorder-related EEG features comprising an event-related spectral perturbation (ERSP) feature, an inter-trial phase coherence (ITC) feature and a weighted phase-lag-index (WPLI) feature;
• the ERSP feature being configured to measure power change in 40 Hz ASSR;
• the ITC feature being configured to measure an ITC value during auditory stimulation;
• the WPLI feature representing the connectivity between the brain regions being configured to measure a change in the connectivity between the brain regions during auditory stimulation;
• the depression detection module being configured to identify a user depression state through decision fusion of the depressive disorder-related EEG features;
• and
• the output module being configured to identify the user depression state according to the EEG features to generate an evaluation report for abnormality in EEG response, and feed it back to the user.