«For some time now, smartphone apps have been used to measure blood pressure; this type of contactless blood pressure tracking has been something of a Holy Grail for cardiologists and the tech industry. But the technique most mobile devices rely on, photoplethysmography (PPG), has its limitations: using a camera to detect changes in light reflected off of skin to gauge blood flow has accuracy issues. To get better results, researchers at the University of South Australia (UniSA) and Baghdad’s Middle Technical University turned to AI. They designed a no-contact blood pressure measuring system which they say is about 90% as accurate as a digital sphygmomanometer.»

«To get these better results, researchers looked to the forehead; their system uses a digital camera to film two areas of a person’s forehead, extracting cardiac data in just ten seconds. AI algorithms do the work of analyzing the information. To test their system, the research team performed a study with 25 people — all of whom had different skin tones — under different ambient light conditions. The results? Blood pressure readings using the new system were strikingly similar to those taken using a commercial sphygmomanometer.»

Article written by William McCleary



Health Tech Insider