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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 April 25th to April 27th, Wearable Sensing will be sponsoring a booth at the 2023 gathering of IEEE EMBS Neural Engineering. 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
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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.
