Virtual Reality

As variability among various VR devices is an important factor that clinicians should consider, we discuss the test–retest reliability of VR-SFT and the variability among various assessments and between two devices.

Pupillometry using extended reality can serve as a promising non-invasive biomarker for spaceflight environment as ICP is correlated with the pupil variables under illumination.

The emergence of new technologies continues to break barriers and transform the way we perceive and interact with the world. In this …

To lower the risk of injury, a more robust and precise method for detecting concussion is needed to produce reliable and objective results. In this paper, we propose a novel approach to detect SRC using long short-term memory (LSTM) recurrent neural network (RNN) architectures from oculomotor data.

To be updated

In our observation, the data generated from VR for smooth pursuit (SP) and the Visual Motion Sensitivity (VMS) tests are highly reliable for concussion detection. Furthermore, we train and evaluate these models, both qualitatively and quantitatively. Our findings show these models can reach high true-positive-rates of around 99.9 percent of symptom provocation on the VR stimuli-based VOMS vs. current clinical manual VOMS.

In order to eliminate the limitations of traditional swinging flashlight test and introduce objectivity, we propose a novel approach to the swinging flashlight exam, VR-SFT, by making use of virtual reality (VR).