Seizure

Lost treasure. Perilous adventures. Deadly foes. Tory and her friends are just starting to get a handle on their super-heightened wolf-like capabilities—contracted during a medical experiment gone horribly wrong—when they find out funding is being pulled from the institute where their parents work. The pack now faces its greatest fear—separation. So when Tory stumbles across ancient lore hinting at a lost pirate treasure, the Virals devise a risky plan that pits them against fiendish traps, headless corpses, and deep underground tunnels. But they're not the only ones looking, and the competition could be lethal. They'll need to work as one mystery-solving canine force if they to hope to uncover the lost fortune, save the institute, and stick together!

Models of Seizures and Epilepsy, Second Edition, is a valuable, practical reference for investigators who are searching for the most appropriate laboratory models to address key questions in the field. The book also provides an important background for physicians, fellows, and students, offering insight into the potential for advances in epilepsy research as well as R&D drug development. Contents include the current spectrum of models available to model different epilepsy syndromes, epilepsy in transgenic animals, comorbidities in models of epilepsy, and novel technologies to study seizures and epilepsies in animals. Provides a comprehensive reference detailing animal models of epilepsy and seizure Offers insights on the use of novel technologies that can be applied in experimental epilepsy research Edited by leading experts in the field that provide not only technical reviews of these models but also conceptual critiques Comments on the strengths and limitations of various models, including their relationship to clinical phenomenology and their value in developing better understanding and treatments

Neurological Emergencies presents a comprehensive guide on the initial assessment and early treatment of patients with neurological emergencies. It discusses the diagnosis, emergency investigations, and handling of coma patients. It addresses the management of focal supratentorial lesion. Some of the topics covered in the book are the diffuse neurological or systemic disturbance; emergency resuscitation; diagnosis and treatment of transtentorial herniation; diagnosis and treatment of acute viral encephalitis; raised intracranial pressure; diagnosis and treatment of non-viral infective encephalitis; viral meningitis; meningovascular syphilis; diagnosis and treatment of cerebral abscess; diagnosis and treatment of intracranial subdural empyema; and diagnosis and treatment of cerebral venous thrombosis. The diagnosis and treatment ofstroke is fully covered. An in-depth account of the difference between haemorrhage and infarction is provided. The diagnosis of subarachnoid haemorrhage is completely presented. A chapter is devoted to the prevention of more cranial bleeding.

Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning classifiers for the classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT). The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance. Presents EEG signal processing and analysis concepts with high performance feature extraction Discusses recent trends in seizure detection, prediction and classification methodologies Helps classify epileptic and non-epileptic seizures where misdiagnosis may lead to the unnecessary use of antiepileptic medication Provides new guidance and technical discussions on feature-extraction methods and feature selection methods based on One-way ANOVA, along with high performance machine learning classifiers for classification of EEG signals in normal and epileptic EEG signals, and new methods of feature extraction developed by the authors, including Singular Spectrum-Empirical Wavelet

A study of epilepsy from an engineering perspective, this volume begins by summarizing the physiology and the fundamental ideas behind the measurement, analysis and modeling of the epileptic brain. It introduces the EEG and provides an explanation of the type of brain activity likely to register in EEG measurements, offering an overview of how these EEG records are and have been analyzed in the past. The book focuses on the problem of seizure detection and surveys the physiologically based dynamic models of brain activity. Finally, it addresses the fundamental question: can seizures be predicted? Based on the authors' extensive research, the book concludes by exploring a range of future possibilities in seizure prediction.

New edition, completely rewritten, with new chapters on endovascular surgery and mitochrondrial and ion channel disorders.

This book gives an exhaustive account of the classification and management of epileptic disorders. It provides clear didactic guidance on the diagnosis and treatment of epileptic syndromes and seizures through thirteen chapters, complemented by a pharmacopoeia and CD ROM of video-EEGs.