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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.
Dr. Murat Akcakaya and his team at the University of Pittsburgh recently published findings on patients with ASD by utilizing the DSI-24 to classify states of emotional distress. Dr. Akcakaya continues to break barriers in this field of research with the help of Wearable Sensing’s technology!
From July 31st to August 1st, Wearable Sensing sponsored a booth at the 2022 gathering of NEC and Neuromodulation conference. At the conference, we showcased our EEG+fNIRS system, and our brand new dry EEG+tDCS system for closed-loop stimulation, developed in conjunction with Soterix Medical. To learn more about these devices, please fill out the contact form below
Please fill out the form and provide a brief description of your application so we can help match you with products that will meet your specific needs.
Please fill out the form and provide a brief description of your application so we can help match you with products that will meet your specific needs.
