DocumentCode :
2049369
Title :
Recovering the Ocular Microtremor Signal using Wavelet Denoising Technique
Author :
Al-Kalbani, M. ; Collins, N. ; Boyle, G. ; Foran, T. ; Hegarty, F. ; Sheahan, N. ; Coakley, D.
Author_Institution :
Dept. of Med. Phys. & Bioeng., St. James´´s Hosp., Dublin, Ireland
fYear :
2007
fDate :
24-27 Nov. 2007
Firstpage :
1571
Lastpage :
1574
Abstract :
Ocular Microtremor (OMT) is a continual very low amplitude involuntary tremor of the eye which has known potential in the diagnosis of a number of clinical conditions. Rapid involuntary flicks of the eye called microsaccades and slow drifting eye movements contaminate the OMT record. Current methods used to extract OMT from recorded eye movement traces result in some information loss in the OMT pattern. The signal recovery problem in OMT measurement appears to lend itself well to the application of a wavelet denoising technique. In this paper wavelet denoising is employed for the first time for the recovery of OMT.
Keywords :
eye; medical signal processing; patient diagnosis; signal denoising; Ocular Microtremor signal; diagnosis; drifting eye movements; eye tremor; microsaccades; rapid involuntary flicks; wavelet denoising technique; Anesthesia; Continuous wavelet transforms; Frequency; Hospitals; Noise reduction; Pollution measurement; Sensor systems; Signal analysis; Wavelet analysis; Wavelet domain; Ocular Microtremor; Wavelet denoising; fixational eye movements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-1235-8
Electronic_ISBN :
978-1-4244-1236-5
Type :
conf
DOI :
10.1109/ICSPC.2007.4728633
Filename :
4728633
Link To Document :
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