Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia.
Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoperative and battlefield settings given the variability of traditional vital signs, such T-Shirts as heart rate and blood pressure, and their inability to detect blood loss at an early stage.To this end, we acquired N = 58 photoplethysmographic (PPG) re