Title :
Detection and parameter estimation of slow eye movement
Author :
Shino, Hideaki ; Yana, Kazuo
Author_Institution :
Dept. of Electron. Eng., Hosei Univ., Tokyo, Japan
Abstract :
An algorithm is proposed for the detection and parameter estimation of slow eye movement from an electrooculogram (EOG). An efficient algorithm based on a template matching is introduced. An example of the real data analysis was shown for demonstrating the effectiveness of the proposed method
Keywords :
bioelectric potentials; eye; medical signal detection; parameter estimation; pattern matching; EOG; detection; electrooculogram; parameter estimation; real data analysis; slow eye movement; template matching; Amplitude estimation; Cities and towns; Data analysis; Detection algorithms; Electrooculography; Humans; Informatics; Parameter estimation; Pattern matching; Psychology;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804124
