Electroencephalography (EEG)–based studies focus on depression recognition using data
mining methods, while those on mild depression are yet in infancy, especially in effective …

The diagnosis of depression almost exclusively depends on doctor-patient communication
and scale analysis, which have the obvious disadvantages such as patient denial, poor …

Depression affects many people around the world today and is considered a global
problem. Electroencephalogram (EEG) measurement is an appropriate way to understand …

Background and objective Depression has become a major health burden worldwide, and
effectively detection of such disorder is a great challenge which requires latest technological …

Purpose Depression is a common mental illness worldwide and has become an important
public health problem. The current clinical diagnosis of depression mainly relies on the …

Depression score is traditionally determined by taking the Beck depression inventory (BDI)
test, which is a qualitative questionnaire. Quantitative scoring of depression has also been …

In this paper, we used electroencephalography (EEG)-eye movement (EM) synchronization
acquisition network to simultaneously record both EEG and EM physiological signals of the …

Early detection remains a significant challenge for the treatment of depression. In our work,
we proposed a novel approach to mild depression recognition using …

Depression is a mood disorder that causes negative effects on people's life and has become
a leading health burden worldwide. But the effective and low-cost detection for depression is …

Clinical depression is a neurological disorder that can be identified by analyzing the
Electroencephalography (EEG) signals. However, the major drawback in using EEG to …