• 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