Depression biomarkers using non-invasive EEG: A review
FS de Aguiar Neto, JLG Rosa - Neuroscience & Biobehavioral Reviews, 2019 - Elsevier
Depression is a serious neurological disorder characterized by strong loss of interest,
possibly leading to suicide. According to the World Health Organization, more than 300 …
possibly leading to suicide. According to the World Health Organization, more than 300 …
A review of brain oscillations in perception of faces and emotional pictures
B Güntekin, E Başar - Neuropsychologia, 2014 - Elsevier
The differentiation of faces, facial expressions and affective pictures involves processes of
higher mental activity that have considerable applications in the psychology of moods and …
higher mental activity that have considerable applications in the psychology of moods and …
中国情绪图片系统的编制——在46 名中国大学生中的试用
白露， 马慧， 黄宇霞， 罗跃嘉 - 2005 - 159.226.113.162
目的: 建立本土化的中国情绪图片系统(CAPS) 以适应情绪研究的需要. 方法: 筛选出852
幅图片组成CAPS, 46 名中国大学生对CAPS 图片的愉悦度, 唤醒度和优势度进行了自我报告的 …
幅图片组成CAPS, 46 名中国大学生对CAPS 图片的愉悦度, 唤醒度和优势度进行了自我报告的 …
Cardiac sympathetic-vagal activity initiates a functional brain–body response to emotional arousal
D Candia-Rivera, V Catrambone… - Proceedings of the …, 2022 - National Acad Sciences
A century-long debate on bodily states and emotions persists. While the involvement of
bodily activity in emotion physiology is widely recognized, the specificity and causal role of …
bodily activity in emotion physiology is widely recognized, the specificity and causal role of …
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals
Emotion is interpreted as a psycho-physiological process, and it is associated with
personality, behavior, motivation, and character of a person. The objective of affective …
personality, behavior, motivation, and character of a person. The objective of affective …
Optimal feature selection and deep learning ensembles method for emotion recognition from human brain EEG sensors
RM Mehmood, R Du, HJ Lee - Ieee Access, 2017 - ieeexplore.ieee.org
Recent advancements in human-computer interaction research have led to the possibility of
emotional communication via brain-computer interface systems for patients with …
emotional communication via brain-computer interface systems for patients with …
Classifying different emotional states by means of EEG-based functional connectivity patterns
YY Lee, S Hsieh - PloS one, 2014 - journals.plos.org
This study aimed to classify different emotional states by means of EEG-based functional
connectivity patterns. Forty young participants viewed film clips that evoked the following …
connectivity patterns. Forty young participants viewed film clips that evoked the following …
A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis
RA Movahed, GP Jahromi, S Shahyad… - Journal of Neuroscience …, 2021 - Elsevier
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 …
through questionnaire-based approaches; however, these methods may not lead to an …
A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
Affective states, moods and emotions, are an integral part of human nature: they shape our
thoughts, govern the behavior of the individual, and influence our interpersonal …
thoughts, govern the behavior of the individual, and influence our interpersonal …
Quantifying human experience in architectural spaces with integrated virtual reality and body sensor networks
People spend more than 90% of their time indoors, making it essential to understand how
the built environment can influence human experience and assess how the changes in …
the built environment can influence human experience and assess how the changes in …