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The Electroencephalogram in Anesthesia

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Produktnummer: 1836f6df915f294e1b9558bab0a7953d06
Autor: Künkel, H. Lips, U. Pichlmayr, I.
Themengebiete: Elektroenzephalographie Narkose electroencephalography (EEG) neurophysiology physiology
Veröffentlichungsdatum: 09.01.2012
EAN: 9783642695643
Sprache: Englisch
Seitenzahl: 214
Produktart: Kartoniert / Broschiert
Verlag: Springer Berlin
Untertitel: Fundamentals, Practical Applications, Examples
Produktinformationen "The Electroencephalogram in Anesthesia"
Neurological, neurovegetative, and psychic changes following surgery or in tensive care indicate alterations in cerebral function. When these changes are analyzed exactly, they are found to be by no means rare; at the same time, they present a wide spectrum of clinical manifestations. While optimal circulatory monitoring - including continuous EEG recording during anes thesia or intensive care - is today regarded as routine, the problem of objec tive and continuous monitoring of cerebral function under various forms of anesthesia, surgery, and intensive care has not been solved. Considerable improvements in clinical neurophysiology, mainly through visual and spectral analytic evaluations of the EEG, show func tional neurophysiological changes to be equivalent to, or the cause of, clinical, neurological, and psychic changes. The question of current interest, therefore, is whether anesthesiological EEG monitoring is able, both theo retically and practically, to detect and adequately interpret cerebral altera tions following perioperative measures such that these alterations can be treated or avoided accordingly. In the long run, the basic questions are to what extent can anesthesiological measures be guided by the EEG pattern and managed effectively, and can EEG analysis be significant both for the individual patient and in the general interpretation of the effect of anes thesiological procedures? Questions of the relevance and practicability of anesthesiological EEG monitoring are dealt with in this book. This study is based on an analysis of more than 1500 EEGs of patients who underwent anesthesia during surgery.

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