CAVA: A System for Identifying Nystagmus

Newman, Jacob, Phillips, John and Cox, Stephen (2019) CAVA: A System for Identifying Nystagmus. In: IEEE Conference on Biomedical and Health Informatics 2019. UNSPECIFIED.

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Abstract

As populations age, dizziness is becoming an increasing burden on health services. Dizziness is often episodic and can have many possible causes. When dizziness is due to inner-ear malfunctions, it is usually accompanied by abnormal eye-movements called nystagmus. The CAVA (Continuous Ambulatory Vestibular Assessment) device has been developed to provide continuous monitoring of eye-movements to gain insight into the physiological parameters present during a dizzy attack. We describe the development of the device and the accompanying algorithms for detecting nystagmus. In a blinded trial involving 17 healthy subjects who induced periods of nystagmus artificially, the system achieved a detection accuracy of 98.77%.

Item Type:	Book Section
Faculty \ School:	Faculty of Science > School of Computing Sciences Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Medicine and Health Sciences > Research Centres > Population Health Faculty of Science > Research Groups > Data Science and AI
Depositing User:	LivePure Connector
Date Deposited:	14 Oct 2020 00:05
Last Modified:	10 Dec 2024 01:12
URI:	https://ueaeprints.uea.ac.uk/id/eprint/77246
DOI:

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