Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6484
Main Title: Automatic validation and quality based readjustment of manually scored EEG arousal
Author(s): Lerch, Dennis
Penzel, Thomas
Orglmeister, Reinhold
Type: Article
Language Code: en
Abstract: A knowledge of arousals during sleep is important to attain a deeper understanding regarding cardiovascular diseases. Manual scoring is time consuming and not always accurate. Automatic approaches are even worse inter alia due to inaccurate learning data. This paper presents an algorithm to improve the accuracy of manually scored data. Also a measure of quality is introduced to judge the automatically estimated results.
URI: https://depositonce.tu-berlin.de//handle/11303/7209
http://dx.doi.org/10.14279/depositonce-6484
Issue Date: 2013
Date Available: 28-Nov-2017
DDC Class: 610 Medizin, Gesundheit
Subject(s): arousal detection
validation
quality estimation
Sponsor/Funder: EC/FP6/018474-2/EU/Dynamic analysis of physiological Networks/Daphnet
Usage rights: Terms of German Copyright Law
Journal Title: Biomedical engineering = Biomedizinische Technik
Publisher: De Gruyter
Publisher Place: Berlin [u.a.]
Volume: 58
Issue: Suppl. 1
Publisher DOI: 10.1515/bmt-2013-4164
EISSN: 0013-5585
ISSN: 1862-278X
Notes: Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
Appears in Collections:Fachgebiet Elektronik und medizinische Signalverarbeitung » Publications

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