ICA-based Epileptic Seizure Detection Using ECoG Signals
Author | : Yu Han |
Publisher | : |
Total Pages | : 100 |
Release | : 2011 |
Genre | : |
ISBN | : |
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Author | : Yu Han |
Publisher | : |
Total Pages | : 100 |
Release | : 2011 |
Genre | : |
ISBN | : |
Author | : 張涵彥 |
Publisher | : |
Total Pages | : 158 |
Release | : 2010 |
Genre | : |
ISBN | : |
Author | : Donald L. Schomer |
Publisher | : Lippincott Williams & Wilkins |
Total Pages | : 1308 |
Release | : 2012-10-18 |
Genre | : Medical |
ISBN | : 1451153155 |
The leading reference on electroencephalography since 1982, Niedermeyer's Electroencephalography is now in its thoroughly updated Sixth Edition. An international group of experts provides comprehensive coverage of the neurophysiologic and technical aspects of EEG, evoked potentials, and magnetoencephalography, as well as the clinical applications of these studies in neonates, infants, children, adults, and older adults. This edition's new lead editor, Donald Schomer, MD, has updated the technical information and added a major new chapter on artifacts. Other highlights include complete coverage of EEG in the intensive care unit and new chapters on integrating other recording devices with EEG; transcranial electrical and magnetic stimulation; EEG/TMS in evaluation of cognitive and mood disorders; and sleep in premature infants, children and adolescents, and the elderly. A companion website includes fully searchable text and image bank.
Author | : Edward F. Chang |
Publisher | : Elsevier Health Sciences |
Total Pages | : 139 |
Release | : 2011-10-28 |
Genre | : Medical |
ISBN | : 1455712140 |
In this issue of Neurosurgery Clinics, Drs. Chang and Barbaro provide a thorough look at epilepsy, with sections focusing on devices in epilepsy surgery, open loop systems, closed loop systems, and non-stimulation. Topics in this issue include history and overview of stimulation for epilepsy, trigeminal nerve stimulation, anterior thalamus DBS, hippocampal stimulation, neuropace RNS, seizure detection/prediction algorithms, cooling, seizure prediction and its applications, stimulation paradigms, and experimental stimulation.
Author | : Saeid Sanei |
Publisher | : John Wiley & Sons |
Total Pages | : 312 |
Release | : 2013-05-28 |
Genre | : Science |
ISBN | : 1118691237 |
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.
Author | : Sandro Misciagna |
Publisher | : |
Total Pages | : |
Release | : 2021 |
Genre | : Epilepsy |
ISBN | : 9781839622908 |
Author | : Lotfi Chaari |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2019-07-11 |
Genre | : Medical |
ISBN | : 9783030117993 |
This collection, entitled Digital Health for Predictive, Preventive, Personalized and Participatory Medicine contains the proceedings of the first International conference on digital healthtechnologies (ICDHT 2018). Ten recent contributions in the fields of Artificial Intelligence (AI) and machine learning, Internet of Things (IoT) and data analysis, all applied to digital health. This collection enables researchers to learn about recent advances in the above mentioned fields. It brings a technological viewpoint of P4 medicine. Readers will discover how advanced Information Technology (IT) tools can be used for healthcare. For instance, the use of connected objects to monitor physiological parameters is discussed. Moreover, even if compressed sensing is nowadays a common acquisition technique, its use for IoT is presented in this collection through one of the pioneer works in the field. In addition, the use of AI for epileptic seizure detection is also discussed as being one of the major concerns of predictive medicine both in industrialized and low-income countries. This work is edited by Prof. Lotfi Chaari, professor at the University of Sfax, and previously at the University of Toulouse. This work comes after more than ten years of expertise in the biomedical signal and image processing field.
Author | : Gonzalo Alarcón |
Publisher | : Cambridge University Press |
Total Pages | : 641 |
Release | : 2012-04-26 |
Genre | : Medical |
ISBN | : 0521691583 |
Covers all aspects of epilepsy, from basic mechanisms to diagnosis and management, as well as legal and social considerations.
Author | : Chang-Hwan Im |
Publisher | : Springer |
Total Pages | : 232 |
Release | : 2018-08-16 |
Genre | : Science |
ISBN | : 9811309086 |
This book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the fundamentals through to the state-of-the-art. The aim of the book is to help biomedical engineers and medical doctors who use EEG to better understand the methods and applications of computational EEG analysis from a single, well-organized resource. Following a brief introduction to the principles of EEG and acquisition techniques, the book is divided into two main sections. The first of these covers analysis methods, beginning with preprocessing, and then describing EEG spectral analysis, event-related potential analysis, source imaging and multimodal neuroimaging, and functional connectivity analysis. The following section covers application of EEG analysis to specific fields, including the diagnosis of psychiatric diseases and neurological disorders, brain-computer interfacing, and social neuroscience. Aimed at practicing medical specialists, engineers, researchers and advanced students, the book features contributions from world-renowned biomedical engineers working across a broad spectrum of computational EEG analysis techniques and EEG applications.
Author | : Ramana Vinjamuri |
Publisher | : BoD – Books on Demand |
Total Pages | : 144 |
Release | : 2020-09-09 |
Genre | : Medical |
ISBN | : 1789841135 |
Neural signal processing is a specialized area of signal processing aimed at extracting information or decoding intent from neural signals recorded from the central or peripheral nervous system. This has significant applications in the areas of neuroscience and neural engineering. These applications are famously known in the area of brain–machine interfaces. This book presents recent advances in this flourishing field of neural signal processing with demonstrative applications.