Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients

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

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.

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.