1.

Record Nr.

UNINA9910455427503321

Titolo

Quantitative EEG analysis methods and clinical applications / / Shanbao Tong, Nitish V. Thakor, editors

Pubbl/distr/stampa

Boston : , : Artech House, , ©2009

[Piscataqay, New Jersey] : , : IEEE Xplore, , [2009]

ISBN

1-59693-205-8

Descrizione fisica

1 online resource (439 p.)

Collana

Artech House series engineering in medicine & biology

Altri autori (Persone)

TongShanbao

ThakorNitish Vyomesh

Disciplina

616.8/047547

Soggetti

Electroencephalography

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Quantitative EEG Analysis Methods and Clinical Applications; Contents; Foreword; Preface; Chapter 1: Physiological Foundations of Quantitative EEG Analysis; Chapter 2: Techniques of EEG Recording and Preprocessing; Chapter 3: Single-Channel EEG Analysis; Chapter 4: Bivariable Analysis of EEG Signals; Chapter 5: Theory of the EEG Inverse Problem; Chapter 6: Epilepsy Detection and Monitoring; Chapter 7: Monitoring Neurological Injury by qEEG; Chapter 8: Quantitative EEG-Based Brain-Computer Interface; Chapter 9: EEG Signal Analysis in Anesthesia; Chapter 10: Quantitative Sleep Monitoring

Chapter 11: EEG Signals in Psychiatry: Biomarkers for Depression ManagementChapter 12: Combining EEG and MRI Techniques; Chapter 13: Cortical Functional Mapping by High-Resolution EEG; Chapter 14: Cortical Function Mapping with Intracranial EEG; About the Editors; List of Contributors; Index

Sommario/riassunto

This authoritative volume provides an overview of basic and advanced techniques used in quantitative EEG (qEEG) analysis. The book provides a wide range of mathematical tools used in qEEG, from single channel discriptors to the interactions among multi-channel EEG analysis. Moreover, you find coverage of the latest and most popular application in the field, including mental and neurological disease



detection/monitoring, physiological and cognitive phenomena research, and fMRI.