Full Wave Modeling of Brain Waves as Electromagnetic Waves (Invited Paper)
暂无分享,去创建一个
[1] P. Hoole,et al. Autism, EEG and brain electromagnetics research , 2012, 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences.
[2] V. Jandhyala,et al. Solving low frequency EM-CKT problems using the PEEC method , 2005, IEEE 14th Topical Meeting on Electrical Performance of Electronic Packaging, 2005..
[3] C Gabriel,et al. The dielectric properties of biological tissues: I. Literature survey. , 1996, Physics in medicine and biology.
[4] W. Steen. Absorption and Scattering of Light by Small Particles , 1999 .
[5] Akihiro Yasuhara,et al. Correlation between EEG abnormalities and symptoms of autism spectrum disorder (ASD) , 2010, Brain and Development.
[6] R. W. Lau,et al. The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz. , 1996, Physics in medicine and biology.
[7] Yoshitsugu Yasui,et al. A brainwave signal measurement and data processing technique for daily life applications. , 2009, Journal of physiological anthropology.
[8] M. Samet,et al. Parametric study on the dielectric properties of biological tissues , 2015, 2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
[9] N. Ponomareva,et al. EEG Alterations in Subjects at High Familial Risk for Alzheimer’s Disease , 2003, Neuropsychobiology.
[10] Brian N. Pasley,et al. Reconstructing Speech from Human Auditory Cortex , 2012, PLoS biology.
[11] P Suppes,et al. Brain-wave representation of words by superposition of a few sine waves. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[12] K. Müller,et al. Single Trial Classification of Motor Imagination Using 6 Dry EEG Electrodes , 2007, PloS one.
[13] M. Baggen,et al. DOUBLE‐BLIND STUDY WITH PHOSPHATIDYLSERINE IN PARKINSONIAN PATIENTS WITH SENILE DEMENTIA OF ALZHEIMER'S TYPE (SDAT) , 1989, Progress in clinical and biological research.
[14] A. Doud,et al. Continuous Three-Dimensional Control of a Virtual Helicopter Using a Motor Imagery Based Brain-Computer Interface , 2011, PloS one.
[15] Dan Jiao,et al. A unified finite-element solution from zero frequency to microwave frequencies for full-wave modeling of large-scale three-dimensional on-chip interconnect structures , 2008, 2008 IEEE Antennas and Propagation Society International Symposium.
[16] C. Grozea,et al. Bristle-sensors—low-cost flexible passive dry EEG electrodes for neurofeedback and BCI applications , 2011, Journal of neural engineering.
[17] K. Asami. Dielectric properties of biological tissues in which cells are connected by communicating junctions , 2007 .
[18] K. Lafleur,et al. Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain–computer interface , 2013, Journal of neural engineering.
[19] C. Gabriel. The Dielectric Properties of Tissues , 2000 .
[20] M. Nuttin,et al. A brain-actuated wheelchair: Asynchronous and non-invasive Brain–computer interfaces for continuous control of robots , 2008, Clinical Neurophysiology.
[21] S. O. Nelson,et al. Low-frequency dielectric properties of biological tissues : A review with some new insights , 1998 .
[22] Warren M Grill,et al. Analysis of the quasi-static approximation for calculating potentials generated by neural stimulation , 2008, Journal of neural engineering.