TDD:Auxiliary framework for recognizing people with depression based on physiological and emotional characteristics of EEG signals

• Published in: 2022 Euro-Asia Conference on Frontiers of Computer Science and Information Technology (FCSIT) pp. 164 - 169
• Main Authors: Hu, Bin, Wang, YouMian, Chen, ZhenXiang, Jiang, XiaoQian, Liu, WenJuan, Wang, PeiCheng
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2022
• Subjects: Brain modeling; Depression; EEG; Emotion-induced; Feature extraction; Interference; Medical services; Mental health; physical signals; TDD; Watches

Due to the severe imbalance of the doctor-patient ratio in the world, many patients cannot get mental health diagnoses in time, and there is a lack of objective diagnostic methods for depression at present. To address these issues rapidly and automatically, this paper proposes a new framework, Two-t...