DocumentCode
2976404
Title
Enhanced segmentation of EOG signals
Author
Al-Zaben, A. ; Al-Qura, H. ; Abu-Qasmieh, Isam
Author_Institution
Biomed. Syst. & Med. Inf. Dept., Yarmouk Univ., Irbid, Jordan
fYear
2011
fDate
21-24 Feb. 2011
Firstpage
170
Lastpage
172
Abstract
Extraction of certain events from a signal is a very common problem in the field of medical signal processing. This paper presents a combined method to extract events from electro-oculogram (EOG) signal that are characterized by a band of frequencies. The method uses a combination of mean weighted instantaneous frequency and Pan-Tompkins algorithm. The goal is to improve specifically the identification of the start and end of the detected event. The algorithm is tested and applied on the Electro-oculogram signals and the results are presented.
Keywords
electro-oculography; image segmentation; medical signal processing; Pan-Tompkins algorithm; electrooculogram; enhanced EOG signal segmentation; mean weighted instantaneous frequency; medical signal processing; Classification algorithms; Electrocardiography; Electrooculography; Interpolation; Sensitivity; Signal processing algorithms; System-on-a-chip;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering (MECBME), 2011 1st Middle East Conference on
Conference_Location
Sharjah
Print_ISBN
978-1-4244-6998-7
Type
conf
DOI
10.1109/MECBME.2011.5752092
Filename
5752092
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