Pattern recognition techniques in sleep polygraphy
Jobert, M.; Scheuler, W.; Röske, W.; Poiseau, E.; Kubicki, S.
Eeg-Emg Zeitschrift für Elektroenzephalographie Elektromyographie und verwandte Gebiete 22(3): 178-186
1991
ISSN/ISBN: 0012-7590 PMID: 1765030 Document Number: 379382
The evaluation of EEG-patterns is usually accomplished by visual analysis. Nowadays however, even personal computers are fast enough for an efficient pattern recognition of EEG signals. Using sleep spindles and K-complexes as examples, our aim was to demonstrate how patterns can be detected in an EEG signal with a high degree of accuracy. Furthermore, recognition of K-complexes has been improved by applying an additional "adaptive algorithm" allowing individual adjustments to the signal's form and amplitude.