The identification of the emotional states corresponding to the four quadrants of the
valence/arousal space has been widely analyzed in the scientific literature by means of …

Accurate monitoring of anesthesia status is very important in surgery, as it can guide
anesthesiologists, reduce drug usage, and reduce postoperative adverse effects. However …

The present attention of computer vision study is on AI emotion identification, which
comprises the automatic acknowledgment of facial terminologies of feeling and the …

Dispersion entropy (DE) and its improved versions have become effective methods for
analyzing signals complexity, which characterizes signals amplitude differences more …

Recently, fuzzy dispersion entropy (DispEn) has attracted much attention as a new nonlinear
dynamics method that combines the advantages of both DispEn and fuzzy entropy …

The electrooculogram, often known as an EOG signal, can frequently be used to quantify the
amount of drowsiness and exhaustion that a person is experiencing in their body …

Interdisciplinary synergies are arising from the growing usage of software, eg, between
dependability assurance and mental health. In a context in which software-intensive medical …

In this paper, the identification of arousal and valence levels in people monitored by means
of electroencephalograms is presented. More specifically, different images were exposed to …

Background The complexity analysis of neuroelectrophysiological signals has been widely
applied in the field of biomedical engineering and muscle fatigue detection using the …

In this paper, the identification of arousal and valence levels in people monitored by means
of electroencephalograms is presented. More specifically, different images were exposed to …