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Review
. 1991 Sep;22(3):178-86.

[Pattern recognition techniques in sleep polygraphy]

[Article in German]
Affiliations
  • PMID: 1765030
Review

[Pattern recognition techniques in sleep polygraphy]

[Article in German]
M Jobert et al. EEG EMG Z Elektroenzephalogr Elektromyogr Verwandte Geb. 1991 Sep.

Abstract

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.

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