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 |
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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