Recognition of K-complex in sleep EEG using a fuzzy C-means algorithm

Recognition of K-complex in sleep EEG using a fuzzy C-means algorithm

Since the works of Zadeh in the 1960's the development of fuzzy sets and dedicated algorithms has made possible to solve many problems. The aim of this paper is to show how the fuzzy pattern recognition concept can be used to solve classical problems of detection and recognition in biomedical s...

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Hauptverfasser: Sauter, D., Henry, D., Di Renzo, N., Amady, M.M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Brain modeling
Electrocardiography
Electroencephalography
Fuzzy sets
Humans
Least squares approximation
Parameter estimation
Pattern recognition
Sleep
Testing
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Beschreibung
Zusammenfassung:Since the works of Zadeh in the 1960's the development of fuzzy sets and dedicated algorithms has made possible to solve many problems. The aim of this paper is to show how the fuzzy pattern recognition concept can be used to solve classical problems of detection and recognition in biomedical signals. The application which is considered in this paper concerns K-complex detection in sleep EEG signals.
DOI:10.1109/IEMBS.1993.978584