DocumentCode :
2948595
Title :
A wavelet approach for unsupervised nystagmus analysis on ENG and VOG recordings
Author :
Jansen, S.M.H. ; Kingma, H. ; Peeters, R.L.M.
Author_Institution :
Dept. of ENT, Univ. Hosp. Maastricht, Maastricht, Netherlands
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
6333
Lastpage :
6336
Abstract :
Several algorithms are available to quantify nystagmus beats in electro nystagmography (ENG) and video-oculography (VOG) recordings. These algorithms use parameterized approaches to detect the fast components of nystagmus beats. This paper proposes a wavelet approach to detect fast components of nystagmus beats. The main advantage of this approach compared to alternatives, is the completely unsupervised automated routine. The algorithm is implemented and validated in different clinical experiments. The results are compared to that of an alternative parameterized technique. Results show that the wavelet approach is suitable for automated nystagmus analysis.
Keywords :
bioelectric phenomena; biomechanics; biomedical optical imaging; eye; medical signal detection; medical signal processing; video cameras; wavelet transforms; ENG; VOG; electronystagmography; fast component detection; unsupervised automated routine; unsupervised nystagmus analysis; videooculography; wavelet approach; Algorithm design and analysis; Noise; Phase detection; Sensitivity; Wavelet analysis; Wavelet transforms; Algorithms; Diagnostic Techniques, Ophthalmological; Humans; Nystagmus, Pathologic; Signal Processing, Computer-Assisted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5627643
Filename :
5627643
Link To Document :
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