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%.
|Title of host publication||IEEE Conference on Biomedical and Health Informatics 2019|
|Number of pages||1|
|Publication status||Published - 19 May 2019|