Depression has become one of the most crucial public health issues, threatening the quality
of life of over 300 million people throughout the world. Nevertheless, the clinical diagnosis of …

Depression is one of the significant contributors to the global burden disease, affecting
nearly 264 million people worldwide along with the increasing rate of suicidal deaths …

Depression is the disorder with the greatest socioeconomic burdens. Its diagnosis is still
based on an operational diagnosis derived from symptoms, and no objective diagnostic …

Patients suffering from severe depression may be precisely assessed using online EEG
categorization and their progress tracked over time, minimizing the risk of danger and …

Abstract Recently, Electroencephalogram (EEG)-based computer-aided (CAD) techniques
have shown their promise as decision-making tools to diagnose major depressive disorder …

Diagnosis of depression using electroencephalography (EEG) is an emerging field of study.
When mental health facilities are unavailable, the use of EEG as an objective measure for …

The growth of biomedical engineering has made depression diagnosis via
electroencephalography (EEG) a trendy issue. The two significant challenges to this …

Background Quantitative electroencephalogram (EEG) is one neuroimaging technique that
has been shown to differentiate patients with major depressive disorder (MDD) and non …

In this paper, we aimed at reviewing present literature on employing nonlinear analysis in
combination with machine learning methods, in depression detection or prediction task. We …

Background Major depressive disorder (MDD) is a prevalent mental illness that is diagnosed
through questionnaire-based approaches; however, these methods may not lead to an …