Tamara P Lambert, Michael Chan, Jesus Antonio Sanchez-Perez, Mohammad Nikbakht, David J Lin, Afra Nawar, Syed Khairul Bashar, Jacob P Kimball, Jonathan S Zia, Asim H Gazi, Gabriela I Cestero, Daniella Corporan, Muralidhar Padala, Jin-Oh Hahn, Omer T Inan
Hypovolemic shock is one of the leading causes of death in the military. The current methods of assessing hypovolemia in field settings rely on a clinician assessment of vital signs, which is an unreliable assessment of hypovolemia severity. These methods often detect hypovolemia when interventional methods are ineffective. Therefore, there is a need to develop real-time sensing methods for the early detection of hypovolemia. Previously, our group developed a random-forest model that successfully estimated absolute blood-volume status (ABVS) from noninvasive wearable sensor data for a porcine model ( n = 6)...
January 23, 2024: Biosensors