WORCESTER, Mass.―An iPhone app that measures the user’s heart rate has sparked an idea for a Worcester Polytechnic Institute (WPI) researcher who is now turning smart phones, and eventually tablet devices, into sophisticated medical monitors able to capture and transmit vital physiological data.
A team led by Ki Chon, professor and head of biomedical engineering at WPI, has developed a smart phone application that can measure not only heart rate, but also heart rhythm, respiration rate and blood oxygen saturation using the phone’s built-in video camera. The new app yields vital signs as accurate as standard medical monitors now in clinical use. Details of the new technology are reported in the paper "Physiological Parameter Monitoring from Optical Recordings with a Mobile Phone," published online, in advance of print, by the journal IEEE Transactions on Biomedical Engineering.
“This gives a patient the ability to carry an accurate physiological monitor anywhere, without additional hardware beyond what’s already included in many consumer mobile phones,” the authors wrote. “One of the advantages of mobile phone monitoring is that it allows patients to make baseline measurements at any time, building a database that could allow for improved detection of disease states.”
The application, developed by Chon and WPI colleagues Yitzhak Mendelson, associate professor of biomedical engineering, Domhnull Granquist-Fraser, assistant professor of biomedical engineering, and doctoral student Christopher Scully, analyzes video clips recorded while the patient’s fingertip is pressed against the lens of the phone’s camera. As the camera’s light penetrates the skin, it reflects off of pulsing blood in the finger; the application is able to correlate subtle shifts in the color of the reflected light with changes in the patient's vital signs. Chon, who is an expert on signal processing, has previously developed algorithms that monitor a range of vital signs using traditional clinical devices like a Holter heart monitor. In the new study, Chon and his team created and adapted algorithms to process the data gathered by the phone’s video camera.