Concept for an intelligent anaesthesia EEG monitor

Author： Nahm W. Stockmanns G. Petersen J. Gehring H. Konecny E. Kochs H.-D. Kochs E.

ISSN： 1464-5238

Source： Medical Informatics and the Internet in Medicine, Vol.24, Iss.1, 1999-03, pp. : 1-9

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Intelligent Models to Predict the Prognosis of Premature Neonates According to Their EEG Signals

International Journal of Biomedical and Clinical Engineering (IJBCE), Vol. 6, Iss. 1, 2017-01 ,pp. : 57-66

IGI Global_journal

Access to resources Recommend Favorite

I. National Institute for Clinical Excellence guidance on measuring depth of anaesthesia: limitations of EEG-based technology

By Pandit J. J. Cook T. M.

BJA: British Journal of Anaesthesia, Vol. 110, Iss. 3, 2013-03 ,pp. : 325-328

Oxford University Press

Access to resources Recommend Favorite

EEG signals classification of epileptic patients via feature selection and voting criteria in intelligent method

By Ghaffari Ali Ebrahimi Orimi H.

Journal of Medical Engineering & Technology, Vol. 38, Iss. 3, 2014-04 ,pp. : 146-155

Informa Healthcare

Access to resources Recommend Favorite

Simulation in anaesthesia

By Barach P. Ziv A. Bloch M. Maze M.

Minimally Invasive Therapy and Allied Technologies, Vol. 9, Iss. 5, 2000-05 ,pp. : 321-324

Informa Healthcare

Access to resources Recommend Favorite

Complications of anaesthesia

ANAESTHESIA, Vol. 73, Iss. S1, 2018-01 ,pp. : 7-11

John Wiley & Sons Inc

Access to resources Recommend Favorite