Part 1. Electroencephalogram (EEG) Basis and quantitative Electroencephalogram (qEEG) Technology
Chapter 1 Basic theory of EEG
Chapter 2 qEEG monitoring system in severely ill patients
Part 2. Interpretation and clinical significance of abnormal EEG in severely ill patients
Chapter 3 Common abnormal EEG in neurocrital ill patients
Chapter 4Abnormal EEG background activity
Chapter 5 Patterns and clinical significance of abnormal sleep EEG
Part 3. Application of multimodal EEG in severely ill patients
Chapter 6 Application of multimodal EEG in coma patients
Chapter 7 Application of multimodal EEG in HIE
Chapter 8 Application of multimodal EEG in SE
Chapter 9 Clinical application of multimodal EEG in acute ischemic stroke
Chapter 10 Application of multimodal EEG in TBI
Chapter 11 Application of multimodal EEG in AE
Chapter 12 Application of multimodal EEG in ICP monitoring
Chapter 13 Application of multimodal EEG in sedation and analgesia
Chapter 14 Application of multimodal EEG in predicting the risk of suicide
Chapter 15 Application of multimodal EEG in the determination of brain death
Chapter 16 Application of the BIS in the ICU
Chapter 17 Application of aEEG in severely ill patients
Professor Xuefeng Wang is the director of the Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. He is also the author of Refractory Status Epilepticus, Springer, 2017.
This book provides practical information on applications of multi-modal EEG monitoring in patients with severely neurologically diseases. The First part systematically introduces the modern EEG techniques, and multi-modal EEG monitoring system for severe neurological illness. In the second part, identification of EEG artifacts and interpretation of common abnormal EEG patterns is presented. Accompanying more than 50 typical cases and 200 EEG records, the following chapters discusses EEG’s changes and clinical significance in coma, ischemic-hypoxic encephalopathy, status epilepsy, Creutzfeldt-Jakob disease, traumatic brain injury, and other diseases in details. In addition, application of multi-modal EEG in monitoring intracranial pressure and predicting suicide risk is also included. It will be a valuable reference for professionals in neurology, neurosurgery, emergency care, psychiatry, technology specialists of EEG and senior nurses with basic EEG monitoring knowledge.