A wavelet approach for unsupervised nystagmus analysis on ENG and VOG recordings

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 nys...

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Bibliographic Details
Published in2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Vol. 2010; pp. 6333 - 6336
Main Authors Jansen, S M H, Kingma, H, Peeters, R L M
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2010
Subjects
Algorithm design and analysis
Algorithms
Diagnostic Techniques, Ophthalmological
Humans
Noise
Nystagmus, Pathologic - diagnosis
Phase detection
Sensitivity
Signal Processing, Computer-Assisted
Wavelet analysis
Wavelet transforms
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Summary: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.
ISBN:1424441234
9781424441235
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/IEMBS.2010.5627643