Procedural sedation and analgesia (PSA) is widely used in the emergency department and for various diagnostic and therapeutic procedures. Despite its relative effectiveness for increasing chances of clinical success, it can potentially cause sudden, life-threatening conditions such as hypoventilation, apnea, airway obstruction, and cardiopulmonary impairment, and monitoring systems currently in place provide little advance warning for serious adverse events. This project aims to develop novel ways for characterizing procedural sedation depth as well as to predict and prevent adverse respiratory events. Moving forward, we will be using high-resolution vital-sign monitoring of the respiratory and cardiovascular systems, as well as computational data mining and modeling of human cardiorespiratory physiology to develop better monitoring modalities to minimize the risks associated with PSA.

I have previously worked at Medtronic on sensing and detection algorithms for pacemakers. My research interests lie in applying technology to improve patient care and medical treatments.