Smartwatches provide rich sets of pulsatile physiological data under various modalities and circumstances. An unexploited capability is that the pulsatile physiological time series collected by wrist-worn wearable devices can be used for recovering internal brain dynamics. Two design classes of closed-loop smartwatch-brain interface architectures related to cognitive stress for tracking arousal and fatigue states are presented. The methods are validated by analyzing experimental electrodermal activity and cortisol data as well as simulation studies in the context of cognitive-stress-related arousal and fatigue. Results demonstrate a promising approach for tracking and regulating neurocognitive stress through wearable devices. Since smartwatches can be used conveniently in one’s daily life, smartwatch-brain interface architectures have a great potential to monitor and regulate one’s neurocognitive stress seamlessly in real-world situations.
Dr. Rose T. Faghih, associate professor of Biomedical Engineering, NYU, director of Computational Medicine Laboratory
Dr. Rose T. Faghih is an associate professor of Biomedical Engineering at the New York University (NYU) where she directs the Computational Medicine Laboratory. Prior to joining NYU, she was an assistant professor of Electrical and Computer Engineering at the University of Houston. She received a bachelor’s degree (summa cum laude) in Electrical Engineering (Honors Program Citation) from the University of Maryland, and S.M. and Ph.D. degrees in Electrical Engineering and Computer Science with a minor in Mathematics from MIT, where she was a member of the MIT Laboratory for Information and Decision Systems as well as the MIT-Harvard Neuroscience Statistics Research Laboratory. She completed her postdoctoral training at the Department of Brain and Cognitive Sciences and the Picower Institute for Learning and Memory at MIT as well as the Department of Anesthesia, Critical Care and Pain Medicine at the Massachusetts General Hospital. Rose is the recipient of various awards including an MIT Technology Review 2020 Innovator Under 35 award, a 2020 National Science Foundation CAREER Award, a 2020 Research Excellence award as well as a 2020 Teaching Excellence Award from the University of Houston’s Cullen College of Engineering, a 2016 IEEE-USA New Face of Engineering award, a National Science Foundation Graduate Research Fellowship, an MIT Graduate Fellowship, and the University of Maryland’s Department of Electrical and Computer Engineering Chair’s Award. In 2020, Rose was featured by the IEEE Women in Engineering Magazine as a “Woman to Watch”. Her research interests include wearable technologies, medical cyber-physical systems, neural and biomedical signal processing, as well as control, estimation, and system identification of biomedical and neural systems.