A Video-Oculography Based Telemedicine System for Automated Nystagmus Identification-Reference-Cited by-同舟云学术

A Video-Oculography Based Telemedicine System for Automated Nystagmus Identification

Published:2013-07-03 Issue:3 Volume:7 Page:
ISSN:1932-6181
Container-title:Journal of Medical Devices
language:en
Short-container-title:

Author:

Swart Wayne¹,Scheffer Cornie²,Schreve Kristiaan³

Affiliation:

1. e-mail:

2. Professor e-mail:

3. Associate Professor e-mail: Biomedical Engineering Research Group (BERG), Department of Mechanical and Mechatronic Engineering, University of Stellenbosch, Private Bag X1, Matieland Stellenbosch, 7602South Africa

Abstract

This paper presents the research and results for an automated jerk-type nystagmus identification system that makes use of an efficient, low cost video-oculography (VOG) device, designed for telemedicine applications. The pupil position is estimated by a hybrid tracking algorithm from the captured VOG images. It is also shown that wavelet analysis with an appropriate mother wavelet, coupled with well-defined geometric constraints can provide a reliable and robust nystagmus identification algorithm. Some original research regarding robust analysis for signals with mixed content is also presented.

Publisher

ASME International

Subject

Biomedical Engineering,Medicine (miscellaneous)

Link

http://asmedigitalcollection.asme.org/medicaldevices/article-pdf/doi/10.1115/1.4024647/6236301/med_007_03_031002.pdf

Reference18 articles.

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2. Sensory and Motor Nystagmus: Erroneous and Misleading Terminology Based on Misinterpretation of David Cogan's Observations;Arch. Ophthalmol.,2007

3. Jansen, S., Kingma, H., and Peeters, R., 2010, “A Wavelet Approach for Unsupervised Nystagmus Analysis on ENG and VOG Recordings,” Proceedings of the IEEE 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Buenos Aires, August 31–September 4. 10.1109/IEMBS.2010.5627643

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