QStates is a machine learning algorithm that uses quantitative EEG (qEEG), heart rate variability (HRV) data, galvanic skin response (GSR), and more to assess cognitive and physiological states. Cognitive state assessment can be done in real-time and off-line with graphical displays of results.
To kick off the RevolutionizingEEG webinar series, we’re thrilled to host Dr. Adi Korisky of Stanford University, presenting her work on studying attention in classrooms. This webinar series gives those researchers a platform to share what real-world research looks like in practice, and what new scientific insights have come as a result.
From November 14th to November 18th, Wearable Sensing will be sponsoring a booth at the 2026 gathering of Society for Neuroscience. At the conference, we will showcase the latest in dry electrode EEG innovation, including EEG+fNIRS, EEG+tDCS, EEG+VR, and more. To learn more about these devices, please fill out the contact form below
