Abstract
Disorders of the vestibular system possibly decrease vision, causing abnormal nystagmus and dizziness. To diagnose abnormal nystagmus, various studies have been reported including the use of rotating chair tests and videonystagmography. However, these tests are unsuitable for home use due to their high costs. Thus, a low-cost video-oculography system is necessary to obtain clinical features at home. In this paper, we present a goggle-type low-cost video-oculography system using an infrared camera and Raspberry Pi board for tracking the pupils and evaluating a vestibular system. Horizontal eye movement is derived from video data obtained from an infrared camera and infrared light-emitting diodes, and the velocity of head rotation is obtained from a gyroscope sensor. Each pupil was extracted using a morphology operation and a contour detection method. Rotatory chair tests were conducted with our developed device. To evaluate our system, gain, symmetry, and phase were measured and compared System 2000.
Highlights
During human locomotion, vision is disturbed by head perturbations [1]
4 Conclusions This paper has presented a low-cost VNG using an infrared camera for the diagnosis of nystagmus by obtaining eye movement features
The device was developed using a pair of head-mounted goggles, a Raspberry Pi board, an infrared camera, and lightemitting diodes (LEDs)
Summary
The vestibulo-ocular reflex (VOR) helps the eyes fix on a target ahead, by rotating the moving eyes in the opposite direction [2]. This compensatory eye movement is induced by sensing angular acceleration in the semicircular canals of the vestibular system [3]. Vestibular dysfunction in the form of blurring of vision in that a target slips from the fovea makes an eye movement pattern called nystagmus [4]. There are two gold standard methods to diagnose nystagmus and evaluate the semicircular canals, rotatory chair tests are conducted on suspected patients [7].
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