Stress assessment has been under study in the last years. Both biochemical and
physiological markers have been used to measure stress level. In neuroscience, several …

In the conventional neuroscience studies using functional near infrared spectroscopy
(fNIRS), the region of interest (ROI) needs to be investigated. In this paper, to reduce the …

The emergence of wearable low-cost wireless devices has allowed for continuous
acquisition of physiological signals. Recently number of studies have applied these …

Workers with demanding jobs are at risk of experiencing mental stress, leading to decreased
performance, mental illness, and disrupted sleep. To detect elevated stress levels in the …

Functional near‐infrared spectroscopy (fNIRS) is suitable for noninvasive mapping of
relative changes in regional cortical activity but is limited for quantitative comparisons …

Depression is the result of a complex interaction of social, psychological and physiological
elements. Research into the brain disorders of patients suffering from depression can help …

In affective computing, stress recognition mainly focuses on the relation of stress and
photoelectric information. Researchers have used artificial intelligence to determine stress …

Background Brain disorders are gradually becoming the leading cause of death worldwide.
However, the lack of knowledge of brain disease's underlying mechanisms and ineffective …

Human stress analysis using electroencephalogram (EEG) signals requires a detailed and
domain-specific information pool to develop an effective machine learning model. In this …

The early detection of mental stress is critical for efficient clinical treatment. Compared with
traditional approaches, the automatic methods presented in literature have shown …