EEG-Update

Durch die rasante Entwicklung digitaler Computertechniken und neuer Analysemethoden hat sich ein neuer Ansatz zur Analyse der Hirnströme (quantitatives EEG) ergeben, die in verschiedenen klinischen Bereichen der Neurologie und Psychiatrie bereits Ergebnisse zeigen. Die neuen Möglichkeiten der Analyse des EEG durch Einsatz künstlicher Intelligenz (Deep Learning) und großer Datenmengen (Big Data) sowie telemedizinischer Datenübermittlung und Interaktion wird den Einsatz der Methode vermutlich in den nächsten Jahren erweitern.

Abstract

Electroencephalography (EEG) is one of the oldest methods in neurophysiology and the only method still in clinical and scientific use. After the introduction about 90 years ago, it is not to be expected that significant innovations could be achieved using the methods of recording and evaluation that were customary up to recently. However, the rapid development of digital computer techniques and analysis methods (quantitative EEG) has resulted in a completely new approach to the analysis of brain waves, which is showing initial results in various clinical areas of neurology and psychiatry. New methods of analyzing the EEG such as artificial intelligence (deep learning) and the capability to process large amounts of data (big data) and telemedical innovations likely will improve the yield of the method in the near future.

Schlüsselwörter

EEG - quantitative Elektroenzephalografie - Epilepsie - Status epilepticus - künstliche Intelligenz

Key words

EEG - quantitative electroencephalography - epilepsy - status epilepticus - artificial intelligence

Publication History

Article published online:
29 November 2022

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