DETECTION AND MONITORING OF STUDENT ATHLETES鈥 COGNITIVE STATE AND PERFORMANCE
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.
RESEARCHERS
Principal Investigators
Meltem Izzetoglu, PhD
Associate Professor, Electrical and Computer Engineering
Director, Biomedical Signals, Systems and Analysis Lab
Xun Jiao, PhD
Assistant Professor, Electrical and Computer Engineering
Students
Michael Sommeling 鈥22 CpE, 鈥23 MSCpE
Partners
Joanie Milhous, Head Coach, 棉花糖直播 Field Hockey
Kevin Miller, Associate Athletic Director/Director of Sports Performance, 棉花糖直播 Athletics
Mark Jupina, PhD, Assistant Professor, Electrical and Computer Engineering
Shadi Malaeb, MD, St. Christopher鈥檚 Hospital for Children
Patricia Shewokis, PhD, Drexel University College of Nursing and Health Professions
PROJECT DETAILS
- Portable, fully integrated monitoring system, powered by machine learning, makes it possible to measure performance anywhere, anytime鈥攆rom athletes on the field to workers in high-risk environments.
- Establishing an athlete鈥檚 baseline levels for cognitive, emotional and physical state and monitoring these metrics throughout the season can provide 鈥渁 window into that individual鈥檚 brain.鈥
- The relative influence of coffee vs. meditation will be explored more fully in Phase 2. Preliminary results indicate that coffee significantly improved neural efficiency in memory tasks and had the strongest impact on vigilance. Meditation, on the other hand, did significantly improve the effects of resting among participants.
- Cognitive and emotional state are critical to success in everyday life, and such technology may soon become widespread.
Michael Sommeling, 鈥淒etection and Monitoring of Cognitive State with Functional Near-Infrared Spectroscopy (fNIRS)鈥 MS Thesis, May 2023, Advisor: Meltem Izzetoglu
Sommeling M, Izzetoglu, M. 鈥淎utomatic classification of attentional processing during Stroop task and meditation using fNIRS features鈥 fNIRS Conference, Oct 2022, Boston MA.
Izzetoglu, M., Shewokis, P. A., Tsai, K., Dantoin, P., Sparango, K., & Min, K. (2020). Short-Term Effects of Meditation on Sustained Attention as Measured by fNIRS. Brain Sciences, 10(9), 608. (棉花糖直播 Engineering senior design group)
- Mozel AE, Izzetoglu M, Master CL, Leber AB, Grady M, Vernau, BT, Folk C. 鈥淎 Multimodal Investigation of Attention in Pediatric Concussion,鈥 Annual Meeting of the International Neuropsychological Society, Feb 2023, San Diego, CA
- Izzetoglu M, Jiao X, Park S. 鈥淯nderstanding Driving Behavior Using fNIRS and Machine Learning鈥 In International Conference on Transportation and Development, 2021.