Head mounted displays (HMD) are often utilized in virtual reality protocols. Measures such as fNIRS, EEG, and Cognitive State are also useful, and sensors for such measurements must be placed on the participant’s head along with the HMD. Maintaining participant comfort as well as field of view is critical for such studies to provide meaningful results.
BIOPAC has a unique solution for using fNIRS under a VR helmet. Due to the very thin and flexible sensor design, our fNIRS sensor fits comfortably under most head-mounted displays. See above how the sensor fits with the Oculus Quest 2, VIVE, and HP Reverb G2 Omnicept. In addition, our wireless fNIRS system allows for the fNIRS Imager device to be worn on the upper arm, eliminating the need to placed extra hardware on the head. You can even combine fNIRS and a B-Alert X Series wireless EEG headset for untethered, lightweight measurement. Additional benefits of using BIOPAC’s fNIRS solution in VR include real-time streaming of oxygenation and raw data to the virtual environment to enable neurofeedback.
The comfort and fit of an HMD with additional sensor(s) was tested.
Popular HMDs include HP G2, Oculus Quest 1 and 2, Rift S, Varjo, and Vive. Three were selected for this test, additional HMD units will be added as testing goes on.
fNIRS and B-Alert sensors did not block the field of view of an individual wearing either device in a VR headset.
They all fit relatively comfortably under all three headsets.
HP Reverb was considered the most comfortable in this test (and generally) given it has a padded, adjustable headband and is lightweight
Vive Pro had similar results but is slightly less comfortable since it weighs more
Quest 2 was slightly less comfortable given it is just elastic straps holding the headset in place; it felt the least secure when both EEG and fNIRS were used, but this could be alleviated by really tightening the head straps
The Dual Wireless Respiration and ECG BioNomadix module pair consists of a matched transmitter and receiver pair optimized for respiration and electrocardiogram data; record one or both signals. RSP (CH A)–measure abdominal or thoracic expansion and contraction while breathing ECG (CH B)–record electrical activity generated by the heart The high signal to noise ratio and […]
BIOPAC provides researchers with a complete range of tools to gather data on heart rate variability (HRV). The following studies demonstrate just some of the ways in which HRV research benefits from the implementation of BIOPAC hardware and software solutions. PTSD and HRV Post-traumatic stress disorder (PTSD) has been associated with dysfunction of the autonomic […]
BIOPAC’s comprehensive Introductory ECG Guide addresses fundamental to advanced concerns to optimize electrocardiography data recording and analysis. Topics include: ECG Complex; Electrical and Mechanical Sequence of a Heartbeat; Systole and Diastole; Configurations for Lead I, Lead II, Lead III, 6-lead ECG, 12-lead ECG, precordial leads; Ventricular Late Potentials (VLPs); ECG Measurement Tools; Automated Analysis Routines for extracting, […]