Fever is a common symptom in many health conditions, but current methods to monitor body temperature (BT) are either invasive, costly, or not continuous. The Corsano CardioWatch 287-2, a wristband that tracks multiple vital signs, offers a new way to monitor BT by measuring skin temperature and heat flux on the wrist. It uses a machine learning algorithm to predict BT in real-time. The device has shown good results when compared to other non-invasive temperature measurements, like tympanic (ear) temperature, in stroke patients. However, it hasn't yet been compared to the gold standard of invasive rectal temperature monitoring in a clinical setting. This study aims to test the accuracy of the Corsano CardioWatch 287-2 in measuring body temperature against rectal temperature monitoring in a clinical environment.
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Agreement between four temperature readings
Timeframe: From enrollment up to 24 hours
Clinical repeatability calculation
Timeframe: From enrollment up to 24 hours