Neuro-fuzzy recognition of K-complexes in sleep EEG signals

Author

Pohl, V. ; Fahr, E.

Author_Institution

Inst. for Autom. & Tech. Comput. Sci., Tettnang, Germany

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

789

Abstract

A new pattern recognition procedure is introduced for the automatic detection of K-complexes in EEG sleep polygraphies employing fuzzy logic and neural networks. The developed detection system was implemented in C, supplying a hardware-independent solution with a very rapid recognition of the K-complexes. With the aid of the determined K-complexes and detected sleep spindles, the respective stage 2 in the sleep polygraphy can be evaluated directly from the EEG signal and visualized. This represents a significant criterion for the objective assessment of a patient´s sleep quality

Keywords

electroencephalography; fuzzy neural nets; medical signal processing; pattern recognition; C program; K-complexes; automatic detection; developed detection system; electrodiagnostics; fuzzy logic; hardware-independent solution; neurofuzzy recognition; patient´s sleep quality assessment; sleep EEG signals; sleep polygraphy; sleep spindles; sleep stage 2; Automation; Detectors; Electroencephalography; Fuzzy sets; Intelligent networks; Intelligent systems; Neural networks; Neurons; Pattern recognition; Sleep;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575364

Filename

575364