Differences in Power Spectral Densities and Phase Quantities Due to Processing of EEG Signals
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Omid Kavehei | Alistair McEwan | Raquib-Ul Alam | Haifeng Zhao | Andrew Goodwin | O. Kavehei | A. McEwan | Andrew J. Goodwin | A. Goodwin | Raquib-Ul Alam | Haifeng Zhao | Raquib-ul Alam
[1] F. Harris. On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.
[2] James S. P. Macdonald,et al. Trial-by-Trial Variations in Subjective Attentional State are Reflected in Ongoing Prestimulus EEG Alpha Oscillations , 2011, Front. Psychology.
[3] H. Begleiter,et al. Event related potentials during object recognition tasks , 1995, Brain Research Bulletin.
[4] Michael C. Ridding,et al. Transcranial Magnetic Stimulation-EEG Biomarkers of Poststroke Upper-Limb Motor Function. , 2019, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.
[5] Logan Trujillo. Raw EEG Data Files , 2019 .
[6] J.B. Allen,et al. A unified approach to short-time Fourier analysis and synthesis , 1977, Proceedings of the IEEE.
[7] Heinrich Meyr,et al. Digital filter and square timing recovery , 1988, IEEE Trans. Commun..
[8] Taoguang Xu,et al. Classical and modern power spectrum estimation for tune measurement in CSNS RCS , 2013, 1305.6090.
[9] P. Rossini,et al. Pre- and poststimulus alpha rhythms are related to conscious visual perception: a high-resolution EEG study. , 2005, Cerebral cortex.
[10] S. Kak. The discrete Hilbert transform , 1970 .
[11] C. Neuper,et al. EEG alpha band dissociation with increasing task demands. , 2005, Brain research. Cognitive brain research.
[12] Paul Sauseng,et al. EEG Oscillatory Phase-Dependent Markers of Corticospinal Excitability in the Resting Brain , 2014, BioMed research international.
[13] Jun Lu,et al. Adaptive Laplacian filtering for sensorimotor rhythm-based brain–computer interfaces , 2013, Journal of neural engineering.
[14] Yan Guozheng,et al. EEG feature extraction based on wavelet packet decomposition for brain computer interface , 2008 .
[15] E Gordon,et al. The Modulation of Late Component Event Related Potentials by Pre-Stimulus EEG Theta Activity in ADHD , 2001, The International journal of neuroscience.
[16] Lorenzo Bruzzone,et al. Automatic analysis of the difference image for unsupervised change detection , 2000, IEEE Trans. Geosci. Remote. Sens..
[17] P. Welch. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .
[18] Lorenzo Fabrizi,et al. Altered cortical processing of somatosensory input in pre-term infants who had high-grade germinal matrix-intraventricular haemorrhage , 2019, NeuroImage: Clinical.
[19] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[20] M. Murugappan,et al. Wireless EEG signals based Neuromarketing system using Fast Fourier Transform (FFT) , 2014, 2014 IEEE 10th International Colloquium on Signal Processing and its Applications.
[21] J. Cadzow. Maximum Entropy Spectral Analysis , 2006 .
[22] N. Jaworska,et al. Pre-treatment EEG signal variability is associated with treatment success in depression , 2017, NeuroImage: Clinical.
[23] Ramaswamy Palaniappan,et al. Neural Network Classification of Alcohol Abusers Using Power in Gamma Band Frequency of VEP Signals , 2003 .
[24] Ramesh Srinivasan,et al. Estimating the spatial Nyquist of the human EEG , 1998 .
[25] Glyn Humphreys,et al. Mu rhythm desynchronization reveals motoric influences of hand action on object recognition , 2013, Front. Hum. Neurosci..
[26] Timothy O. West,et al. Motor Cortex Inputs at the Optimum Phase of Beta Cortical Oscillations Undergo More Rapid and Less Variable Corticospinal Propagation , 2019, The Journal of Neuroscience.
[27] Heinrich Garn,et al. Neuroimaging markers of global cognition in early Alzheimer's disease: A magnetic resonance imaging–electroencephalography study , 2018, Brain and behavior.
[28] S. Makeig,et al. Imaging human EEG dynamics using independent component analysis , 2006, Neuroscience & Biobehavioral Reviews.
[29] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[30] A. Mognon,et al. ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features. , 2011, Psychophysiology.
[31] Nandini Jog,et al. Classification of Artefacts in EEG Signal Recordings and EOG Artefact Removal using EOG Subtraction , 2016 .
[32] P. Rossini,et al. “Small World” architecture in brain connectivity and hippocampal volume in Alzheimer’s disease: a study via graph theory from EEG data , 2016, Brain Imaging and Behavior.
[33] Aaron Schurger,et al. Pre-stimulus theta power is correlated with variation of motor evoked potential latency: a single-pulse TMS study , 2018, Experimental Brain Research.
[34] U. Rajendra Acharya,et al. Entropies for detection of epilepsy in EEG , 2005, Comput. Methods Programs Biomed..
[35] K. Spencer,et al. Poststimulus EEG spectral analysis and P300: attention, task, and probability. , 1999, Psychophysiology.
[36] Rabab K Ward,et al. A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals , 2007, Journal of neural engineering.
[37] Logan T. Trujillo. K-th Nearest Neighbor (KNN) Entropy Estimates of Complexity and Integration from Ongoing and Stimulus-Evoked Electroencephalographic (EEG) Recordings of the Human Brain , 2019, Entropy.
[38] W. Klimesch. EEG-alpha rhythms and memory processes. , 1997, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[39] Kay A. Robbins,et al. How Sensitive are EEG Results to Preprocessing Methods: A Benchmarking Study , 2020, bioRxiv.
[40] Caley Sullivan,et al. Analysing concurrent transcranial magnetic stimulation and electroencephalographic data: A review and introduction to the open-source TESA software , 2017, NeuroImage.
[41] T. Hasan. Complex demodulation: Some theory and applications , 1983 .
[42] G Fein,et al. Common reference coherence data are confounded by power and phase effects. , 1988, Electroencephalography and clinical neurophysiology.
[43] R. Acharya,et al. Analysis of EEG signals during epileptic and alcoholic states using AR modeling techniques , 2008 .
[44] Mohammad Hassan Moradi,et al. A new approach for EEG feature extraction in P300-based lie detection , 2009, Comput. Methods Programs Biomed..
[45] P. Fitzgerald,et al. Impact of different intensities of intermittent theta burst stimulation on the cortical properties during TMS‐EEG and working memory performance , 2018, Human brain mapping.
[46] Lavanya Krishna,et al. Prediction of Musical Perception using EEG and Functional Connectivity in the Brain , 2018 .
[47] Benedict Shien Wei Ng,et al. EEG phase patterns reflect the selectivity of neural firing. , 2013, Cerebral cortex.
[48] Jonathan R Wolpaw,et al. Sensorimotor rhythm-based brain–computer interface (BCI): model order selection for autoregressive spectral analysis , 2008, Journal of neural engineering.
[49] Terence O'Brien,et al. Epileptic Seizure Detection Using Convolutional Neural Network: A Multi-Biosignal study , 2020, ACSW.
[50] M. Brandt,et al. Pre-stimulus spectral EEG patterns and the visual evoked response. , 1991, Electroencephalography and clinical neurophysiology.
[51] Levin Kuhlmann,et al. Computationally Efficient Epileptic Seizure Prediction based on Extremely Randomised Trees , 2020, ACSW.
[52] H. Petsche,et al. Phase-coupling of theta-gamma EEG rhythms during short-term memory processing. , 2002, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[53] Robert Oostenveld,et al. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data , 2010, Comput. Intell. Neurosci..
[54] B. MCA. SAVERS,et al. The Mechanism of Auditory Evoked EEG Responses , 1974, Nature.
[55] Claudio Carvalhaes,et al. The surface Laplacian technique in EEG: Theory and methods. , 2014, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[56] R. Thatcher,et al. EEG and intelligence: Relations between EEG coherence, EEG phase delay and power , 2005, Clinical Neurophysiology.
[57] D.J. McFarland,et al. An Evaluation of Autoregressive Spectral Estimation Model Order for Brain-Computer Interface Applications , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[58] P. Ktonas,et al. Instantaneous envelope and phase extraction from real signals: Theory, implementation, and an application to EEG analysis , 1980 .
[59] Rifai Chai,et al. Comparing the Effects of Three Cognitive Tasks on Indicators of Mental Fatigue , 2019, The Journal of psychology.
[60] Dimitrios I. Fotiadis,et al. Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis , 2009, IEEE Transactions on Information Technology in Biomedicine.
[61] Alan R. Jones,et al. Fast Fourier Transform , 1970, SIGP.
[62] Georg Northoff,et al. Atypical Temporal Dynamics of Resting State Shapes Stimulus-Evoked Activity in Depression—An EEG Study on Rest–Stimulus Interaction , 2019, Front. Psychiatry.
[63] Olaf Dimigen,et al. Optimizing the ICA-based removal of ocular EEG artifacts from free viewing experiments , 2020, NeuroImage.
[64] Claudio Del Percio,et al. Cortical alpha rhythms are correlated with body sway during quiet open-eyes standing in athletes: A high-resolution EEG study , 2007, NeuroImage.
[65] L. Litwin. FIR and IIR digital filters , 2000 .
[66] B. Hjorth. An on-line transformation of EEG scalp potentials into orthogonal source derivations. , 1975, Electroencephalography and clinical neurophysiology.
[67] Hanni Kiiski,et al. A comparison of resting state EEG and structural MRI for classifying Alzheimer’s disease and mild cognitive impairment , 2019, NeuroImage.
[68] Christoph Zrenner,et al. Sensorimotor Oscillatory Phase-Power Interaction Gates Resting Human Corticospinal Output. , 2018, Cerebral cortex.