Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575364
