A novel depression detection method based on pervasive EEG and EEG splitting criterion
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Jian Shen | Yue Wang | Yuan Yao | Lei Feng | Shengjie Zhao | Y. Yao | Jian Shen | Lei Feng | Shengjie Zhao | Yue Wang
[1] Bart Baesens,et al. Profit-based feature selection using support vector machines - General framework and an application for customer retention , 2015, Appl. Soft Comput..
[2] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[3] W. Elenbaas. Heat dissipation of parallel plates by free convection , 1942 .
[4] Chih-Jen Lin,et al. A Practical Guide to Support Vector Classication , 2008 .
[5] J. Tukey,et al. An algorithm for the machine calculation of complex Fourier series , 1965 .
[6] P. Grassberger,et al. Measuring the Strangeness of Strange Attractors , 1983 .
[7] Hiie Hinrikus,et al. Single channel EEG analysis for detection of depression , 2017, Biomed. Signal Process. Control..
[8] H. Jasper. Report of the committee on methods of clinical examination in electroencephalography , 1958 .
[9] Juri D. Kropotov,et al. Independent component approach to the analysis of EEG recordings at early stages of depressive disorders , 2010, Clinical Neurophysiology.
[10] Bin Hu,et al. EEG-Based Cognitive Interfaces for Ubiquitous Applications: Developments and Challenges , 2011, IEEE Intelligent Systems.
[11] Hiie Hinrikus,et al. Spectral features of EEG in depression , 2010, Biomedizinische Technik. Biomedical engineering.
[12] Mathias Berger,et al. EEG slow wave activity regulation in major depression , 2006 .
[13] Zhangang Han,et al. Feature extraction of EEG signals from epilepsy patients based on Gabor Transform and EMD Decomposition , 2010, 2010 Sixth International Conference on Natural Computation.
[14] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[15] Mathias Berger,et al. EEG Slow Wave Activity Regulation in Major Depression EEG-Slow-Wave-Aktivitat bei Patienten mit Major Depression , 2006 .
[16] David R. Anderson,et al. Model Selection and Multimodel Inference , 2003 .
[17] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[18] Bruce E Compas,et al. Assessment of major and daily stressful events during adolescence: the Adolescent Perceived Events Scale. , 1987, Journal of consulting and clinical psychology.
[19] D. Bernstein,et al. Childhood Trauma Questionnaire: A retrospective self-report manual , 1998 .
[20] G. C. Sih,et al. Sustainable time and stability of hippocampal and cortical EEG theta waves , 2012 .
[21] Bin Hu,et al. A pervasive EEG-based biometric system , 2011, UAAII '11.
[22] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[23] C. Hewitt,et al. Screening for Depression in Medical Settings with the Patient Health Questionnaire (PHQ): A Diagnostic Meta-Analysis , 2007, Journal of General Internal Medicine.
[24] P. N. Bellhumer. Eigenfaces vs. fisherfaces : Recognition using class specific linear projection , 1997 .
[25] Bin Hu,et al. A method of removing Ocular Artifacts from EEG using Discrete Wavelet Transform and Kalman Filtering , 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[26] Fang Chen,et al. A New Measurement of Complexity for Studying EEG Mutual Information , 1998, ICONIP.
[27] Pedro Ribeiro,et al. Electroencephalographic frontal asymmetry and depressive symptoms in the elderly , 2008, Biological Psychology.
[28] Joel E. W. Koh,et al. A Novel Depression Diagnosis Index Using Nonlinear Features in EEG Signals , 2015, European Neurology.
[29] S. Debener,et al. Is Resting Anterior EEG Alpha Asymmetry a Trait Marker for Depression? , 2000, Neuropsychobiology.
[30] Hans C. Jessen,et al. Applied Logistic Regression Analysis , 1996 .
[31] Juri D Kropotov,et al. EEG Power Spectra at Early Stages of Depressive Disorders , 2009, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[32] Ahmet Alkan,et al. Comparison of AR and Welch Methods in Epileptic Seizure Detection , 2006, Journal of Medical Systems.
[33] D. Sheehan,et al. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. , 1998, The Journal of clinical psychiatry.
[34] M. Friedman. The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .
[35] J. L. Hodges,et al. Discriminatory Analysis - Nonparametric Discrimination: Consistency Properties , 1989 .
[36] N. Sbirrazzuoli,et al. Computational neural networks for mapping calorimetric data: Application of feed-forward neural networks to kinetic parameters determination and signals filtering , 1997, Neural Computing & Applications.
[37] Bin Hu,et al. Bayesian classification with local probabilistic model assumption in aiding medical diagnosis , 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[38] Christoph Lehmann,et al. Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG) , 2007, Journal of Neuroscience Methods.
[39] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[40] G. Crooks. On Measures of Entropy and Information , 2015 .
[41] Mitsuhiro Hayashibe,et al. NIRS-EEG joint imaging during transcranial direct current stimulation: Online parameter estimation with an autoregressive model , 2016, Journal of Neuroscience Methods.
[42] Reza Rostami,et al. Classifying depression patients and normal subjects using machine learning techniques , 2011, 2011 19th Iranian Conference on Electrical Engineering.
[43] Joel E. W. Koh,et al. Computer-Aided Diagnosis of Depression Using EEG Signals , 2015, European Neurology.
[44] J. Lind,et al. A source-imaging (low-resolution electromagnetic tomography) study of the EEGs from unmedicated men with schizophrenia , 2004, Psychiatry Research: Neuroimaging.
[45] Francisco J. Pelayo,et al. Trends in EEG-BCI for daily-life: Requirements for artifact removal , 2017, Biomed. Signal Process. Control..