Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients (eBook, PDF)

Redaktion: Wang, Xuefeng; Pan, Suyue; Li, Feng

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 360
• Erscheinungstermin: 23. Oktober 2021
• Englisch
• ISBN-13: 9789811644931
• Artikelnr.: 62821810

Autorenporträt

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.

Inhaltsangabe

Part 1 Electroencephalogram (EEG) Basis and quantitative Electroencephalogram (qEEG) Technology.- 1 Basic theory of EEG.- 2 qEEG monitoring system in severely ill patients.- Part 2 Interpretation and clinical significance of abnormal EEG in severely ill patients.- 3 Common abnormal EEG in neurocrital ill patients.- 4 Abnormal EEG background activity.- 5 Patterns and clinical significance of abnormal sleep EEG.- Part 3 Application of multimodal EEG in severely ill patients.- 6 Application of multimodal EEG in coma patients.- 7 Application of multimodal EEG in HIE.- 8 Application of multimodal EEG in SE.- 9 Clinical application of multimodal EEG in acute ischemic stroke.- 10 Application of multimodal EEG in TBI.-11 Application of multimodal EEG in AE.- 12 Application of multimodal EEG in ICP monitoring.- 13 Application of multimodal EEG in sedation and analgesia.- 14 Application of multimodal EEG in predicting the risk of suicide.- 15 Application of multimodal EEG in the determination of brain death.- 16 Application of the BIS in the ICU.- 17 Application of aEEG in severely ill patients.