AIMC Topic: Epilepsy

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Application of cross-correlated delay shift rule in spiking neural networks for interictal spike detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This study proposes a Cross-Correlated Delay Shift (CCDS) supervised learning rule to train neurons with associated spatiotemporal patterns to classify spike patterns. The objective of this study was to evaluate the feasibility of using the CCDS rule...
Humans Neural Networks, Computer Machine Learning Algorithms Models, Theoretical Action Potentials Electroencephalography Epilepsy Neurons
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Application of Counter-propagation Artificial Neural Networks in Prediction of Topiramate Concentration in Patients with Epilepsy.

Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques Jan 1, 2015
PURPOSE: The application of artificial neural networks in the pharmaceutical sciences is broad, ranging from drug discovery to clinical pharmacy. In this study, we explored the applicability of counter-propagation artificial neural networks (CPANNs),...
Humans Neural Networks, Computer Machine Learning Algorithms Female Adult Male Middle Aged Glomerular Filtration Rate Epilepsy Anticonvulsants Drug Interactions Chromatography, High Pressure Liquid Fructose Carbamazepine Topiramate
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Novel images extraction model using improved delay vector variance feature extraction and multi-kernel neural network for EEG detection and prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: Advanced intelligent methodologies could help detect and predict diseases from the EEG signals in cases the manual analysis is inefficient available, for instance, the epileptic seizures detection and prediction. This is because the diver...
Humans Neural Networks, Computer Algorithms Electroencephalography Epilepsy Signal Processing, Computer-Assisted
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Segmenting the Brain Surface from CT Images with Artifacts Using Dictionary Learning for Non-rigid MR-CT Registration.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
This paper presents a dictionary learning-based method to segment the brain surface in post-surgical CT images of epilepsy patients following surgical implantation of electrodes. Using the electrodes identified in the post-implantation CT, surgeons r...
Humans Artificial Intelligence Algorithms Brain Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging Multimodal Imaging Epilepsy Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement
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