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Research Studies

The Impact of WHOOP on User Behavior

June 21, 2016

WHOOP’s Physiological Monitoring Technology provides athletes with an unprecedented amount of insight into how their bodies are adapting to training programs, the sufficiency and efficiency of their sleep, and more broadly, how well their body is adapting to environmental demands.

WHOOP collects multiple streams of continuous bio-data with high sampling frequency, including heart rate, heart rate variability, electro-dermal activity, ambient temperature, and 3D acceleration. Using advanced digital signal processing and data analytics algorithms, WHOOP transforms this data into continuous, actionable feedback and behavioral recommendations for the user.

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Emily Capodilupo

Emily Capodilupo is VP of Data Science and Research at WHOOP. Before joining WHOOP in 2013 as the first full-time employee and first scientist, Emily studied Neurobiology at Harvard University and studied circadian biology in the Analytical and Modeling Unit of the Division of Sleep Medicine at Harvard's Brigham and Women's Hospital. As a runner and former gymnast, Emily knows first hand the importance of sleep and recovery for peak performance.

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