current Research Projects

Automatic Capnogram Analysis in Anesthesia

Together with Prof. Guy Dumont (Department of Electrical and Computer Engineering, UBC) and Dr. Mark Ansermino (Research Unit for Pediatric Anesthesia, BC Children's Hospital) I am researching on algorithms for automated capnogram (CO2 concentration in expired gases) analysis during anesthesia. Automated event and trend detection in capnography can potentially improve the clinicians' decision-making process, reduce workload of anesthesiologists during operations, and may consequently enhance patient safety.

Previous projects

Automated Sleep and Wake Detection WITH Wearable Systems (Body Sensing)

The Body Sensing project was conducted at the Laboratory of Intelligent Systems at the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland under the supervision of Prof. Dario Floreano. The goal of the Body Sensing project was to develop a wearable device capable of discriminating sleep and wake states of the wearer and giving feedback in a non-obtrusive way. These states could then be used as parameters for the prediction of fatigue and optimisation of sleep/wake schedules of the wearer. Since body signals related to sleep and wake are different from person to person, the wearable device incorporated learning technologies to adapt to different wearers automatically. A prototype of the wearable device wass tested on the Solar Impulse pilots during a virtual flight in 2008 and may be continued to be used for the record flight scheduled for 2011.

Further information can be found on the Body Sensing project website or the publication page.