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Epilepsy : the Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics.
Epilepsy, one of the most prevalent neurological disorders, affects approximately 1% (greater than 60 million) of the world's population. In an estimated 20 million of these patients, seizures are not controlled even by multiple anti-seizure drugs, and are extremely difficult to predict. Epilep...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
CRC Press,
2011.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Osorio, Ivan. | |
| 245 | 1 | 0 | |a Epilepsy : |b the Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics. |
| 260 | |a Hoboken : |b CRC Press, |c 2011. | ||
| 300 | |a 1 online resource (536 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 505 | 0 | |a Front Cover; Contents; Preface; Acknowledgments; Editors; Contributors; Chapter 1: Neuroanatomy as Applicable to Epilepsy : Gross and Microscopic Anatomy/Histology; Chapter 2: Introduction to EEG for Nonepileptologists Working in Seizure Prediction and Dynamics; Chapter 3: Basic Mechanisms of Seizure Generation; Chapter 4: An Introduction to Epileptiform Activities and Seizure Patterns Obtained by Scalp and Invasive EEG Recordings; Chapter 5: Seizures and Epilepsy: An Overview; Chapter 6: Intracranial EEG : Electrodes, Filtering, Amplification, Digitization, Storage, and Display. | |
| 505 | 8 | |a Chapter 7: Time-Frequency Energy AnalysisChapter 8: Neurodynamics and Ion Channels : A Tutorial; Chapter 9: Nonlinear Time Series Analysis in a Nutshell; Chapter 10: How to Detect and Quantify Epileptic Seizures; Chapter 11: Automated Prediction and Assessment of Seizure Prediction Algorithms; Chapter 12: Autonomous State Transitions in the Epileptic Brain : Anticipation and Control; Chapter 13: Prediction; Chapter 14: Impact of Biases in the False-Positive Rate on Null Hypothesis Testing; Chapter 15: Seizure Prediction : An Approach Using Probabilistic Forecasting. | |
| 505 | 8 | |a Chapter 16: Seizure Prediction and Detection Research at Optima NeuroscienceChapter 17: Preictal Directed Interactions in Epileptic Brain Networks; Chapter 18: Seizure Prediction and Observability of EEG Sources; Chapter 19: Circadian Regulation of Neural Excitability in Temporal Lobe Epilepsy; Chapter 20: Use of Dynamical Measures in Prediction and Control of Focal and Generalized Epilepsy; Chapter 21: Time-Series-Based Real-?Time Seizure Prediction; Chapter 22: Optimizing Seizure Detection Algorithms toward the Development of Implantable Epilepsy Prostheses. | |
| 505 | 8 | |a Chapter 23: Initiation and Termination of Seizure-Like Activity in Small-World Neural NetworksChapter 24: Are Interaction Clusters in Epileptic Networks Predictive of Seizures?; Chapter 25: Preictal Spikes in the Hippocampus of Patients with Mesial Temporal Lobe Epilepsy; Chapter 26: Microanalysis and Macroanalysis of High-Frequency Oscillations in the Human Brain; Chapter 27: Vagus Nerve Stimulation Triggered by Machine Learning-Based Seizure Detection : Initial Implementation and Evaluati; Chapter 28: Low-Frequency Stimulation as a Therapy for Epilepsy. | |
| 505 | 8 | |a Chapter 29: Large-Scale Electrophysiology : Acquisition, Storage, and AnalysisChapter 30: EPILAB: A MATLAB® Platform for Multifeature and Multialgorithm Seizure Prediction; Chapter 31: Emerging Technologies for Brain-Implantable Devices; Chapter 32: Familial and Sporadic Nocturnal Frontal Lobe Epilepsy (NFLE)--Electroclinical Features; Chapter 33: Nicotinic Acetylcholine Receptors in Circuit Excitability and Epilepsy : The Many Faces of Nocturnal Frontal Lobe E; Chapter 34: Channelopathies in Epileptology; Chapter 35: Autosomal Dominant Nocturnal Frontal Lobe Epilepsy: Excessive Inhibition? | |
| 520 | |a Epilepsy, one of the most prevalent neurological disorders, affects approximately 1% (greater than 60 million) of the world's population. In an estimated 20 million of these patients, seizures are not controlled even by multiple anti-seizure drugs, and are extremely difficult to predict. Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics seamlessly brings together the neurosciences, mathematics, computational sciences, engineering, physics, and clinical epileptology to present to readers a highly didactic, integrated, clear and practically useful knowle. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Epilepsy. | |
| 650 | 1 | 2 | |a Epilepsy |x physiopathology |
| 650 | 2 | 2 | |a Interdisciplinary Communication |
| 650 | 2 | 2 | |a Predictive Value of Tests |
| 650 | 2 | 2 | |a Seizures |x prevention & control |
| 650 | 7 | |a Epilepsy |2 fast | |
| 758 | |i has work: |a Epilepsy (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFFwv8BqrTqYw449wWfdKm |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Osorio, Ivan. |t Epilepsy : The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics. |d Hoboken : CRC Press, ©2011 |z 9781439838853 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=708936 |z Texto completo |
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