Biometric Data, Algorithms To Unlock Key Information About Circadian Clock
Biometric Data, Algorithms To Unlock Key Information About Circadian Clock

Biometric Data, Algorithms To Unlock Key Information About Circadian Clock


NSF grant will support development of wearable devices and reliable algorithms to provide critical data. LESA Researchers Agung Julius and Mona Hella received $750K in funding to further develop a novel approach to estimate circadian phase shift through the use of dynamic lighting applications and biosensing wearables. Disruption of circadian rhythms has negative impacts on human health and wellbeing. LESA researchers have long studied the effects of circadian phase disruption. Learn more about Julius and Hella’s work at Rensselaer News.