Cyberphysical Systems for Epilepsy and Related Brain Disorders : Multi-parametric Monitoring and Analysis for Diagnosis and Optimal Disease Management
معرفی کتاب «Cyberphysical Systems for Epilepsy and Related Brain Disorders : Multi-parametric Monitoring and Analysis for Diagnosis and Optimal Disease Management» نوشتهٔ Nikolaos S. Voros, Christos P. Antonopoulos (eds.)، منتشرشده توسط نشر Springer International Publishing : Imprint: Springer در سال 2015. این کتاب در 20 صفحه، فرمت pdf، زبان انگلیسی ارائه شده است.
Introduction to ARMOR Project -- Introduction to Epilepsy and Related Brain Disorders -- Part I Epilepsy Medical Background -- Sleep Features and Underlying Mechanisms Related to Epilepsy and Its Long Term Monitoring -- Source-estimation from Non-invasive Recordings of Brain Electrical Activity in Sleep and Epilepsy -- Current Practices in Epilepsy Monitoring; Future Prospects and the ARMOR Challenge -- Data Management Processes -- System Architecture.;This book introduces a new cyberphysical system that combines clinical and basic neuroscience research with advanced data analysis and medical management tools for developing novel applications for the management of epilepsy. The authors describe the algorithms and architectures needed to provide ambulatory, diagnostic and long-term monitoring services, through multi parametric data collection. Readers will see how to achieve in-hospital quality standards, addressing conventional "routine" clinic-based service purposes, at reduced cost, enhanced capability, and increased geographical availability. The cyberphysical system described in this book is flexible, can be optimized for each patient, and is demonstrated in several case studies. Front Matter....Pages i-x Introduction to ARMOR Project....Pages 1-10 Introduction to Epilepsy and Related Brain Disorders....Pages 11-38 Sleep Features and Underlying Mechanisms Related to Epilepsy and Its Long Term Monitoring....Pages 39-60 Source-Estimation from Non-invasive Recordings of Brain Electrical Activity in Sleep and Epilepsy....Pages 61-86 Current Practices in Epilepsy Monitoring; Future Prospects and the ARMOR Challenge....Pages 87-109 Data Management Processes....Pages 111-125 System Architecture....Pages 127-136 Mobile Sensors for Multiparametric Monitoring in Epileptic Patients....Pages 137-161 Secure and Efficient WSN Communication Infrastructure....Pages 163-188 System Middleware....Pages 189-203 Personal Health Record....Pages 205-238 Offline Analysis Server and Offline Algorithms....Pages 239-254 Personalized Management of Epilepsy Through Smart Use of EEG and Detailed MEG Analysis....Pages 255-270 DSMS and Online Algorithms....Pages 271-279 This book introduces a new cyberphysical system that combines clinical and basic neuroscience research with advanced data analysis and medical management tools for developing novel applications for the management of epilepsy. The authors describe the algorithms and architectures needed to provide ambulatory, diagnostic and long-term monitoring services, through multi parametric data collection. Readers will see how to achieve in-hospital quality standards, addressing conventional ĺlroutineĺl clinic-based service purposes, at reduced cost, enhanced capability, and increased geographical availability. The cyberphysical system described in this book is flexible, can be optimized for each patient, and is demonstrated in several case studies This book introduces a new cyberphysical system that combines clinical and basic neuroscience research with advanced data analysis and medical management tools for developing novel applications for the management of epilepsy. The authors describe the algorithms and architectures needed to provide ambulatory, diagnostic and long-term monitoring services, through multi parametric data collection. Readers will see how to achieve in-hospital quality standards, addressing conventional zroutiney clinic-based service purposes, at reduced cost, enhanced capability, and increased geographical availability. The cyberphysical system described in this book is flexible, can be optimized for each patient, and is demonstrated in several case studies
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