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A portable, high-fidelity approach to assessing performance readiness.

Performance, whether in the classroom, in the boardroom or on the field, hinges upon one鈥檚 physical and mental well-being. With the advent of portable brain-monitoring devices and wearable technologies, it is now possible to gain insights into the physical, emotional and cognitive factors affecting a person鈥檚 performance, onsite and in real time. This project represents a novel synthesis of wearable technologies, standardized neurocognitive tasks and machine learning models to automatically detect an individual鈥檚 cognitive, emotional and physical state. Specifically, the team leveraged Dr. Meltem Izzetoglu鈥檚 functional near-infrared spectroscopy (fNIRs) wearable device to assess cognitive activity, a wireless wristband to monitor heart rate and electrodermal activity for stress and a force plate to monitor balance and postural stability.

The primary motivation behind this collaborative, multiyear project is to determine whether it鈥檚 possible to positively influence a student-athlete鈥檚 mental wellness and thereby boost their overall performance. During the first phase of the project, the team designed both multimodal data collection鈥攖racking cognitive, motor and emotional biomarkers鈥攁nd multidomain data analysis processes to assess athletes鈥� cognitive capacities during various activities: validated resting, attention, memory, vigilance and motor tasks. Three interventions鈥攃affeine intake, meditation and no action (control)鈥攚ere assessed for their potential to positively affect performance, with coffee having the greatest impact.

Having validated the data collection and analysis portions, during the first phase of the project, the team will explore how age, gender and physical fitness status (athletes vs. nonathletes) impact cognitive performance and physiological metrics. The team is ultimately striving to obtain objective, science-based measures of an individual鈥檚 cognitive and emotional state, as opposed to the current practice of subjective self-reports of behavioral outcomes. The advances in wireless and wearable technologies means that this objective data can now be collected in or on the field, in real time and under different stress states. This, in turn, enables routine monitoring of performance state and the ability to establish an individual鈥檚 cognitive, emotional and behavioral baseline. Routine monitoring will enable early detection of any deviation (declined, enhanced) from an individual鈥檚 baseline, allowing for timely and targeted interventions. Finally, the team believes that its multimodal platform can be used for the initial diagnosis and monitoring of concussion, leveraging the validated cognitive, emotional and motor tasks to provide more objective determination for when it鈥檚 safe for an athlete to return to the field of play.