Clinical investigation of a medical device (CAVA) for recording eye movements. Patients suffering from diagnosed dizziness conditions will wear the device for 23 hours a day, for 30 days. The device will capture normal eye movement data as well as data corresponding to any dizzy events experienced. At the end of the trial, the data will be downloaded and a scientist will perform a blinded analysis of the data. Specifically, they will attempt to identify the dates on which dizziness was reported.
Dizziness is a common condition that is responsible for a significant degree of material morbidity and burden on our health service. There are multiple causes of dizziness, and these originate from pathologies affecting a large variety of different organ systems. Dizziness is usually episodic and short-lived, so when a patient presents to their health care provider, examination is often normal. As such, diagnosis is challenging and patients often experience significant delay in receiving a diagnosis. The investigators have developed a prototype device for monitoring dizziness and have tested it in a group of 17 healthy volunteers. The results showed that their device is capable of accurately, precisely and reliably identifying short periods of induced nystagmus (eye movements produced during dizzy attacks) among days' worth of normal eye movement data. The overall aim of this trial is to test a fully evolved device for the continuous recording of eye movements over a prolonged period of time, on patients suffering from dizziness. For the purpose of this study, the monitoring period is 23 hours a day, for 30 days. The device is composed of two components: a bespoke single-use sensor array that adheres to the participant's face, and a small reusable module that contains a battery, microcomputer, data storage facility, battery and connection port. The investigators intend to confirm that the device data can be used to identify any occurrence of nystagmus, as produced during attacks of vertigo. Each trial participant will be provided with the device and enough single-use electrode arrays to allow the array to be changed every 24 hours, for thirty days. Participants will be allowed to remove the sensor array for up to 60 minutes each day to allow them to wash and/or shower. If patients experience an episode of dizziness during the trial, they are required to log the details of the event in a trial diary. The identity of these days will not be revealed to the blinded investigator who will later conduct a formal, blinded analysis of the data. At the end of the thirty-day trial, the sensitivity and specificity of the device will be determined by assessing whether the data can be used to correctly identify the dates that participants reported dizziness.
Study Type
The CAVA device will be worn continuously for thirty days, during which time it will record eye and head movements
Norfolk & Norwich University Hospitals NHS Foundation Trust
Norwich, Norfolk, United Kingdom
Nystagmus detection sensitivity and specificity of 95%
The investigators will determine the sensitivity and specificity of the results obtained by a bespoke computer algorithm for detecting episodes of nystagmus, from data captured by the CAVA device.
Time frame: 30 days
Post-trial participant questionnaire
A questionnaire will be provided to the participants at the end of the trial to gather data on device acceptability and other patient feedback. A qualitative assessment of this data will be performed. The device acceptability is measured over 8 questions regarding comfort of wear, ease of wear, self consciousness, effect on sleep with each question having a scale of 1-5. With 5 being the best outcome and 1 being the worst outcome.
Time frame: 30 days
Compliance with wearing the device
Investigators will check the participants compliance of wearing the device by using the data in the participants' trial diaries.
Time frame: 30 days
Functionality of the device's accelerometer
Data will be downloaded from the device and manually checked to ensure that valid data has been captured.
Time frame: 30 days
Functionality of the device's event marker
Data will be downloaded from the device and manually checked to ensure that the known dates and times of event marker activation match the record stored on the device.
Time frame: 30 days
Functionality of the device's timestamping capabilities
The known dates and times of event marker activations will be compared to the record stored on the device. From this information, clock drift will be calculated (hh:mm:ss).
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INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
35
Time frame: 30 days