Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6622
Title: Eigenvector methods for analysis of human PPG, ECG and EEG signals [Conference Object]
Authors: Übeyli, Elif Derya
Cvetkovic, Dean
Cosic, Irena
Keywords: PPG
ECG
EEG
eigenvector methods
Issue Date: 2007
Publisher: IEEE
Source: 29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society -- AUG 22-26, 2007 -- Lyon, FRANCE
Series/Report no.: PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
Abstract: This paper presents eigenvector methods for analysis of the photoplethysmogram (PPG), electrocardiogram (ECG), electroencephalogram (EEG) signals recorded in order to examine the effects of pulsed electromagnetic field (PEMF) at extremely low frequency (ELF) upon the human electrophysiological signal behavior. The features representing the PPG, ECG, EEG signals were obtained by using the eigenvector methods. In addition to this, the problem of selecting relevant features among the features available for the purpose of discrimination of the signals was dealt with. Some conclusions were drawn concerning the efficiency of the eigenvector methods as a feature extraction method used for representing the signals under study.
URI: https://doi.org/10.1109/IEMBS.2007.4353036
https://hdl.handle.net/20.500.11851/6622
ISBN: 978-1-4244-0787-3
ISSN: 1094-687X
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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