Introducing Oculera Visual Field Analyser

The Oculera Visual Field Analyser uses state-of-the-art technology to detect and diagnose early glaucoma, AMD, scotomas or brain abnormalities.

Designed to be comfortable for patients, applying the key concepts and golden rules of perimetry testing via its ground-breaking VR headset. The Oculera Visual Field Analyser is the only Class IIa MHRA registered Virtual Reality Visual Field Analyzer available in the UK.

The Oculera promises to revolutionise the patient experience with its easy-to-use, low maintenance and portable design. Virtual reality technology means there is no need for a dark room, eye patches or uncomfortable chin rest equipment, making the Oculera a practical choice for opticians, regardless of space.

About the product

The Oculera Visual Field Analyser is the only virtual reality headset visual field analyser available in the UK and Ireland. The Oculera Visual Field Analyser benefits from being:

  • Easy to use for patients 
  • Low maintenance 
  • Low cost
  • High mobility
  • Does not require an eye patch
  • Does not require a dark room

Key benefits

  • CE Certifed
  • Class Ila Medical Device
  • Eye Tracking
  • Visual Field Index
  • 10 - 2, 24 - 2, 30 - 2 Test
  • Full Threshold
  • Glaucoma Hemifield Test
  • Esterman Test
  • Fast Tracking
  • C40 and FF120 test
  • Both online and offline modalities
  • Cloud-based

Studies

Comparison of a Virtual Reality-Based Visual Field Device (Oculera) with Humphrey Visual Field Analyzer in Glaucoma Patients and Healthy Individuals

This study compared the Humphrey visual field analyzer (HFA II) and the Oculera visual field analyzer in assessing glaucoma in 93 patients. It included 55 glaucoma patients and 38 healthy subjects, examining Mean Deviation (MD) values. Results showed a strong correlation between the two devices (r = 0.995, p < 0.001) with only a slight difference in MD values. The findings suggest that Oculera, which is portable and can be used at home, could be a viable alternative for clinical perimetry in glaucoma patients. (https://doi.org/10.21203/rs.3.rs-2398424/v1)

Visual field testing using forecasting and virtual reality

Visual field testing is crucial for diagnosing and monitoring diseases like glaucoma, affecting over 80 million people. This standard test measures a patient's light sensitivity at various fixed points while they focus on a specific spot. Recently, virtual reality headsets have been adopted for these tests due to their digital capabilities, though their extended duration can fatigue patients, reducing cooperation and test accuracy and limiting the number of daily tests a clinic can perform. This thesis explores enhancing efficiency by increasing testable points on a digital screen, using a reinforcement learning method to optimize test locations and shorten test durations, and comparing the effects of using predicted future test results against standard testing methods.

The Effect of Virtual Reality and Prediction in Visual Field Test

Visual field testing, crucial for diagnosing and monitoring diseases like glaucoma (affecting over 80 million people), typically involves assessing light sensitivity at fixed points while the patient fixates on a specific location. Recently, virtual reality headsets have been used for these assessments because of their digital displays. However, the long duration of the tests can cause patient fatigue, impacting cooperation and test accuracy, and limiting the number of tests a clinic can conduct daily. This article discusses expanding the number of testable points using a digital screen and employing a reinforcement learning method to optimize test locations and shorten durations. It also examines the effects of using predicted future test results on testing time compared to traditional methods. (https://doi.org/10.1109/SIU55565.2022.9864938)