Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/4915
Title: Multi-layer perceptrons for the detection of sleep eeg transient waveforms
Authors: Μονογυιού, Ευστρατία Α.
Βεντούρας, Ερρίκος Μ.
Κτώνας, Περικλής Υ.
Παπαρρηγόπουλος, Θωμάς
Δίκαιος, Δημήτρης Γ.
Contributors: Ουζούνογλου, Νικόλαος Κ.
Σολδάτος, Κωνσταντίνος Ρ.
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Electroencephalography;Sleep staging;Ηλεκτροεγκεφαλογράφημα;Σταδιοποίηση ύπνου
Subjects: Medicine
Medical technology
Ιατρική
Ιατρικά όργανα και εξοπλισμός
Issue Date: 28-Jan-2015
2001
Publisher: [χ.ό.]
Abstract: Spindles are rhythmic transients present in the sleep electroencephalogram (EEG). Automatic spindle detection techniques are actively sought in order to make sleep staging easier as well as to enable the study of the microstructure of sleep. In the present work an Artificial Neural Network (ANN) based on the Multi-Layer Perceptron (MLP) architecture is used for detecting spindles and quantifying their temporal characteristics. The EEG is band-pass filtered and fed to the ANN without feature extraction. The visual inspection of the original EEG was performed by two experienced polysomnographers, involving three levels of EEG segment characterization. This enabled a thorough assessment of the intra- and inter-scorer variability, to which the performance of the ANN was compared. The overall sensitivity of the network, ranged from 81.3% to 85.7% and false positives rate from 10.3 to 6.3%.
Description: 4th International Conference Neural Networks and Expert Systems in Medicine and Healthcare NNESMED 2001 20-22 June 2001, Milos Island, Greece
Language: English
Citation: Monoyiou, E., Ventouras, E., Ktonas, P., Paparrigopoulos, T., Dikeos, D.G., et al. (2001). Multi-layer perceptrons for the detection of sleep eeg transient waveforms. In the 4th International Conference Neural Networks and Expert Systems in Medicine and Healthcare. Milos Island, 20th-22th June 2001.
Conference: International Conference Neural Networks and Expert Systems in Medicine and Healthcare
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/4915
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