Charles River Analytics Inc., developer of intelligent systems solutions, and PLUX, a biomedical engineering company in Portugal, proudly announce the joint commercial launch of the fNIRS Explorer™ sensor. The fNIRS Explorer is a wireless and ruggedized wearable that lets users acquire high-quality brain activation data, even out of the lab.
Our fNIRS Explorer is a robust and integrated sensor solution that measures cognitive state
Functional near-infrared spectroscopy (fNIRS) sensors measure visible and infrared light reflectance in cortical tissue. Typically applied on the forehead, fNIRS sensors estimate blood oxygen saturation level in brain tissue.
“Historically, fNIRS sensors are clunky and cumbersome,” explained Dr. Bethany Bracken, Principal Scientist at Charles River Analytics. “We developed small and portable fNIRS sensors to enhance our human state assessment projects. Our fNIRS explorer sensor comes with an adjustable, flexible headband and is made of rubber making it comfortable to wear for long periods of time. It is hermetically sealed, allowing it to be useful even in environments with sun, sand, and dust, letting wearers perform training activities both in and out of the lab.”
fNIRS Explorer builds on the success of our fNIRS Pioneer™ sensor, also developed in collaboration with PLUX. Both the fNIRS Pioneer and fNIRS Explorer capture high-quality signals at a fraction of the cost of current systems. These wearables are available for purchase through PLUX or its resellers’ network.
Our Solutions in Action
Our MEDIC system uses our fNIRS sensors and Sherlock™ platform to collect and process information about brain activity and deliver estimates of cognitive workload during high fidelity training simulations.
Our MEDIC system collects information on brain activity using our fNIRS sensors
In this video, Dr. Bracken describes functional near-infrared spectroscopy (fNIRS) sensors and how Charles River Analytics is using them in human state assessment projects.
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The development of this sensor is based upon work supported by the United States Army Medical Research and Materiel Command under Contract No. W81XWH-17-C-0205. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the United States Army Medical Research and Materiel Command.