Overview The AVD-M study is developing a remote, non-contact, patient monitor that measures multiple parameters utilizing machine vision and artificial intelligence. The AVD-M monitor can measure heart rate, respiratory rate, SpO2, pain, mood, and out of bed alarm. We are working on algorithms for blood pressure, depression, and multiple other parameters. Affiliated Lab Cardiac Engineering Research Themes Data Sciences Principal investigator UCSF Arthur Wallace, MD, PhD Professor Emeritus, Vice Chair, Chief of Anesthesia, VAMC Julien Cobert, MD Assistant Clinical Professor Seeking collaborators We are interested in collaborating with people interested in monitoring, biomedical engineering, machine vision, artificial intelligence, and signal processing. Email Us Support this research Are you excited by the innovative work we’re doing on this project? Learn how your financial support can make the difference in our work. Support
Cardiac Engineering NIRSIT Near infrared spectrophotometry detection and measurement of the severity of depression
