Emotion classification using single-channel scalp-EEG recording
暂无分享,去创建一个
[1] Joseph E LeDoux,et al. Contributions of the Amygdala to Emotion Processing: From Animal Models to Human Behavior , 2005, Neuron.
[2] Ido Amihai,et al. Arousal vs. Relaxation: A Comparison of the Neurophysiological and Cognitive Correlates of Vajrayana and Theravada Meditative Practices , 2014, PloS one.
[3] D. Pizzagalli,et al. Prefrontal Oscillations during Recall of Conditioned and Extinguished Fear in Humans , 2014, The Journal of Neuroscience.
[4] I. Christie,et al. Autonomic specificity of discrete emotion and dimensions of affective space: a multivariate approach. , 2004, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[5] Jeffrey S. Spence,et al. Electrophysiological spatiotemporal dynamics during implicit visual threat processing , 2014, Brain and Cognition.
[6] Amir Rastegarnia,et al. Artifact characterization and removal for in vivo neural recording , 2014, Journal of Neuroscience Methods.
[7] G. D. Jacobs,et al. EEG Spectral Analysis of Relaxation Techniques , 2004, Applied psychophysiology and biofeedback.
[8] R. Davidson. What does the prefrontal cortex “do” in affect: perspectives on frontal EEG asymmetry research , 2004, Biological Psychology.
[9] Amir Rastegarnia,et al. A Wavelet-Based Artifact Reduction From Scalp EEG for Epileptic Seizure Detection , 2016, IEEE Journal of Biomedical and Health Informatics.
[10] Kenneth Sundaraj,et al. Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease. , 2014, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[11] Debatri Chatterjee,et al. Cognitive load measurement - A methodology to compare low cost commercial EEG devices , 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).
[12] D. Donoho,et al. Translation-Invariant De-Noising , 1995 .
[13] Toshihisa Tanaka,et al. Artifact suppression from EEG signals using data adaptive time domain filtering , 2012, Neurocomputing.
[14] Bao-Liang Lu,et al. Emotional state classification from EEG data using machine learning approach , 2014, Neurocomputing.
[15] Andrea Petracca,et al. A real-time classification algorithm for EEG-based BCI driven by self-induced emotions , 2015, Comput. Methods Programs Biomed..
[16] L. Buydens,et al. Facilitating the application of Support Vector Regression by using a universal Pearson VII function based kernel , 2006 .
[17] P. Ekman,et al. Emotion and autonomic nervous system activity in the Minangkabau of west Sumatra. , 1992, Journal of personality and social psychology.
[18] Peter W. McOwan,et al. A real-time automated system for the recognition of human facial expressions , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[19] T. Costa,et al. Relationship between adult attachment patterns, emotional experience and EEG frontal asymmetry , 2008 .
[20] J. Russell,et al. The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology , 2005, Development and Psychopathology.
[21] Bao-Liang Lu,et al. Emotion classification based on gamma-band EEG , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[22] Pasin Israsena,et al. Emotion classification using minimal EEG channels and frequency bands , 2013, The 2013 10th International Joint Conference on Computer Science and Software Engineering (JCSSE).
[23] Bruce R. Dunn,et al. Concentration and Mindfulness Meditations: Unique Forms of Consciousness? , 1999, Applied psychophysiology and biofeedback.
[24] Eamonn J. Keogh. A Gentle Introduction to Machine Learning and Data Mining for the Database Community , 2003, SBBD.
[25] John J. B. Allen,et al. Frontal EEG asymmetry as a moderator and mediator of emotion , 2004, Biological Psychology.
[26] S. Hsieh,et al. Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns , 2014, PloS one.
[27] Pasin Israsena,et al. EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation , 2014, TheScientificWorldJournal.
[28] Yong Peng,et al. EEG-based emotion classification using deep belief networks , 2014, 2014 IEEE International Conference on Multimedia and Expo (ICME).
[29] World Medical Association (WMA),et al. Declaration of Helsinki. Ethical Principles for Medical Research Involving Human Subjects , 2009, Journal of the Indian Medical Association.
[30] Leontios J. Hadjileontiadis,et al. A Novel Emotion Elicitation Index Using Frontal Brain Asymmetry for Enhanced EEG-Based Emotion Recognition , 2011, IEEE Transactions on Information Technology in Biomedicine.
[31] C. Sidney Burrus,et al. Convolution using the undecimated discrete wavelet transform , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[32] J. Krystal,et al. A Meta-analysis of D-cycloserine and the Facilitation of Fear Extinction and Exposure Therapy , 2022 .
[33] J. Henry,et al. A meta-analytic review of emotion recognition and aging: Implications for neuropsychological models of aging , 2008, Neuroscience & Biobehavioral Reviews.
[34] Olga Sourina,et al. Real-Time EEG-Based Emotion Recognition and Its Applications , 2011, Trans. Comput. Sci..
[35] Pasin Israsena,et al. Real-Time EEG-Based Happiness Detection System , 2013, TheScientificWorldJournal.