1,471 resources related to Epilepsy
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2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
2010 International Conference of Medical Image Analysis and Clinical Application (MIACA)
MRI,FMRI,DTI,CT,UI,PET,SPECT,EEG,ECG,Medical Image Processing,Gene-chips data analysis,Clinical Medical Images and Signals,Neural Engineering and BCI,Networked E-health Applications and Telemedicine,The Role of Imaging in Radiotherapy Treatment Planning
The conference will be a forum for in-depth discussion to promote novel methodologies and cutting-edge solutions to meet the emerging challenges in the biomedical and the pharmaceutical fields.
The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Rehabilitation aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation, and hardware and software applications for rehabilitation engineering and assistive devices.
Cranstoun, S.D.; Ombao, H.C.; von Sachs, R.; Wensheng Guo; Litt, B. Biomedical Engineering, IEEE Transactions on, 2002
In this paper, we apply a new time-frequency spectral estimation method for multichannel data to epileptiform electroencephalography (EEG). The method is based on the smooth localized complex exponentials (SLEX) functions which are time-frequency localized versions of the Fourier functions and, hence, are ideal for analyzing nonstationary signals whose spectral properties evolve over time. The SLEX functions are simultaneously orthogonal and ...
Moiseev, V.V. Electronic Instrument Engineering Proceedings, 2004. APEIE 2004. 2004 7th International Conference on Actual Problems of, 2004
The purpose of the study was to substantiate ND-YAG laser application in microsurgery Of extramedullary tumors and to estimate its efficacy. During the period of 1988-2002 we have operated on 145 patients with primary extramedullary tumors at the age of 9 up to 72 years. The use of developed original techniques of laser surgery provides less invasive surgical approaches and ...
Geddes, L.A.; Hodge, C. Engineering in Medicine and Biology Magazine, IEEE, 1996
Recording the electrical activity of the exposed brain, known as an electrocorticogram (ECoG), has had a long history. Multichannel recordings from the exposed brain cortex of conscious human patients as a diagnostic procedure to localize epileptic foci began in the early 1940s. Two centers, one at McGill University and the other at Harvard University launched this new field. Relatively unrecognized ...
Brown, E.A.; Ross, J.D.; Blum, R.A.; DeWeerth, S.P. Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on, 2008
To achieve the full potential of neural prostheses, such as those used for the treatment of epilepsy, some means to close the loop around the electrical stimulation protocol has to be provided. To be able to close the loop, it is necessary to record the effect of stimulation itself on the surrounding tissue. Such recording is made impossible by the ...
Kerr, W.T.; Cho, A.Y.; Anderson, A.; Douglas, P.K.; Lau, E.P.; Hwang, E.S.; Raman, K.R.; Trefler, A.; Cohen, M.S.; Nguyen, S.T.; Reddy, N.M.; Silverman, D.H. Pattern Recognition in Neuroimaging (PRNI), 2013 International Workshop on, 2013
The application of machine learning to epilepsy can be used both to develop clinically useful computer-aided diagnostic tools, and to reveal pathologically relevant insights into the disease. Such studies most frequently use neurologically normal patients as the control group to maximize the pathologic insight yielded from the model. This practice yields potentially inflated accuracy because the groups are quite dissimilar. ...
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