Ensembling EEG bands for Mental State Assessment

Abstract

The assessment of mental status is an important task in psychiatry. But the impact of the COVID-19 epidemic has reduced the number of face-to-face assessments with physicians, and thus making it difficult. In recent years, some studies have used EEG (electroencephalogram) to help assess depression or mental state. Users can thus further assess mental state through simple EEG measurement. Since the EEG measurement will obtain multiple frequency bands related to mental or emotion state, if only one frequency band is used to evaluate a specific emotion or mental state, it may be insufficient. Some studies have proposed an ensemble method of multiple frequency bands for emotion recognition. In this study, we will use ensemble multi-bands EEG frequency to do and assist mental state or depression assessment. Through the method of ensemble learning, we integrate the frequency bands which is mainly related to mental state to assist the evaluation of mental state. From the experimental results, we can find that this method has a good effect.