Peter Hu, PhD

The research group is composed of research faculty Peter Rock, Professor and Chairman of Anesthesiology; Peter Hu, Associate Professor; Shiming Yang, Assistant Professor, Colin Mackenzie, Professor Emeritus, and Samuel Galvagno, Associate Professor; 2-4 medical students and residents; and 4-8 PhD students in computer science and engineering. Our research is focused on developing machine learning based predictive algorithms for near and long-term patient outcomes based on the continuous analysis of vital signs from the field to in-hospital resuscitation to the intensive care unit bedside. Our research has been continuously funded by DoD (USAF, Naval Research, US Army and Veterans Administration); past funding agencies included NIH/NLM, NSF, NASA, AHRQ, and industry. Currently, we have over 10 extramural funded projects with over $6 million in funding. We have developed and tested a Bleeding Risk Index (BRI) Monitor for a minute-by-minute analysis of continuous photoplethysmograph (PPG) waveform. This monitor could be used for predicting future transfusion need in the field. We have also developed an ICU Viewer, which takes real-time patient monitor data and provides an at-a-glance view for thepatients in the SICU, NTCC, MTCC or for an individual patient for up to 7 days.

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