1,443 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.
Burgess, R.C.; Braun, D.; Kooros, P.T.; Saliba, B.; Collura, T.C.; Jacobs, E.C. Engineering in Medicine and Biology Society, 1990., Proceedings of the Twelfth Annual International Conference of the IEEE, 1990
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Jothi, M.; Balamurugan, N.B.; Harikumar, R. Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on, 2013
This paper propose a review on VLSI fuzzy processor. Now a day's fuzzy logic plays a vital role in many applications due to its natural representation. To increase the no of real time application fuzzy processor can be incorporated with FPGA. A review on fuzzy processor is illustrated for various applications. For developing real time operation FPGA becomes one of ...
Jones, V.; Rensink, A.; Brinksma, E. EDOC Enterprise Computing Conference, 2005 Ninth IEEE International, 2005
Mobile health systems can extend the enterprise computing system of the healthcare provider by bringing services to the patient any time and anywhere. We propose a model-driven design and development methodology for the development of the m-health components in such extended enterprise computing systems. The methodology applies a model-driven design and development approach augmented with formal validation and verification to ...
Lemmens, C.; Montandon, M.-L.; Nuyts, J.; Ratib, O.; Zaidi, H. Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE, 2007
Neurological PET/CT examinations are often performed with electroencephalogram (EEG) monitoring for epilepsy patients. However, the EEG electrodes cause metal artifacts in the reconstructed CT images which might propagate through the attenuation map into the PET reconstructions. In this study, the impact of the electrodes on the visual quality and quantification of brain PET images was investigated. Twenty epilepsy patients with ...
Sukanesh, R.; Harikumar, R. TENCON 2008 - 2008 IEEE Region 10 Conference, 2008
The purpose of this paper is to identify the practicability of hierarchical soft (max-min) decision trees in optimization of fuzzy outputs in the classification of epilepsy risk levels from EEG (Electroencephalogram) signals. The fuzzy pre classifier is used to classify the risk levels of epilepsy based on extracted parameters like energy, variance, peaks, sharp and spike waves, duration, events and ...
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