A Data-driven Approach for Monitoring Hydration Status

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A DATA-DRIVEN, NON-INVASIVE APPROACH FOR MONITORING HYDRATION STATUS IN ATHLETES

Team: Kathleen Sienko (CoE) and Jenna Wiens (CoE)

Goal: Researchers aim to design and assess a noninvasive technique for real-time monitoring of hydration status in athletes during periods of activity, such as games and practice. Using machine learning techniques and data from an inertial measurement unit (IMU) and a heart rate monitor, the project team will extend an approach that uses orthostatic measurements to detect fluid loss in athletes.