NDLI: A new method to detect nystagmus for vertigo diagnosis system by eye movement velocity

Content Provider	IEEE Xplore Digital Library
Author	Charoenpong, T. Pattrapisetwong, P. Mahasitthiwat, V.
Copyright Year	2015
Description	Author affiliation: Fac. of Med., Srinakharinwirot Univ., Thailand (Charoenpong, T.; Mahasitthiwat, V.)
Abstract	As vertigo is common disease, it causes by problem with Nystagmus. It is difficult to diagnosis by observation. In this paper, we propose a method to detect nystagmus for vertigo diagnosis system using eye movement velocity. This method consists of three main steps: pupil extraction, velocity of eye movement computation, and nystagmus detection. An infrared camera is used to record eye movement in image sequence format. For first step, pupil is primary extracted by an adaptive threshold, blackest blob, and ellipse fitting technique. For second step, we measures pupil position from its center. Velocity of eye movement is then computed. For third step, involuntary eye movement is detected by comparing velocity of eye movement in each frame with a criterion. To evaluate performance of the proposed method, eye movement is recorded from six subjects. Accuracy rate of involuntary eye movement detection is 87.21%. The results show that the performance of this method is satisfactory. This is first method able to detect nystagmus from video-oculography.
Starting Page	174
Ending Page	177
File Size	672246
Page Count	4
File Format	PDF
ISBN	9784901122146
DOI	10.1109/MVA.2015.7153161
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-18
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	MVA organization
Subject Keyword	Algorithm design and analysis Accuracy Shape Image processing Fitting Cameras Diseases
Content Type	Text
Resource Type	Article

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