Monitoring blood pressure with a digital camera could soon be the norm, thanks to an innovative technique demonstrated by Australian and Iraqi researchers.
Using the same remote health technology they pioneered to remotely monitor vital health signs, engineers from the University of South Australia and Baghdad’s Middle Technical University have designed a non-contact system to accurately measure systolic and diastolic pressure.
This could replace the existing uncomfortable and cumbersome method of tying an inflatable cuff to a patient’s arm or wrist, the researchers claim.
In a new paper published in Inventionsthe researchers describe the technique, which involves filming a person from a short distance for 10 seconds and extracting heart signals from two regions in the forehead, using artificial intelligence algorithms.
The systolic and diastolic readings were about 90 percent accurate, compared to the existing instrument (a digital sphygmomanometer) used to measure blood pressure, which itself is subject to error.
Experiments were performed on 25 people with different skin tones and under changing light conditions, overcoming the limitations reported in previous studies.
“Monitoring blood pressure is essential to detect and manage cardiovascular disease, the leading cause of global death, responsible for almost 18 million deaths in 2019,” says UniSA Remote Sensing Engineer Professor Javaan Chahl.
Furthermore, the number of adults with hypertension has risen from 650 million to 1.28 billion worldwide in the last 30 years. The health sector needs a system that can accurately measure blood pressure and assess cardiovascular risks when physical contact with patients is unsafe or difficult, such as during the recent COVID outbreak. If we can perfect this technique, it will help manage one of the most serious health challenges facing the world today.”
Professor Javaan Chahl, UniSA Remote Sensing Engineer
The cutting-edge technology has come a long way since 2017, when the UniSA and Iraqi research team demonstrated image processing algorithms that could extract a human’s heartbeat from drone video.
In the past five years, the researchers have developed algorithms to measure other vital signs, including breathing rate from 50 meters away, oxygen saturation, temperature and jaundice in newborns.
Their non-contact technology was also deployed in the United States during the pandemic to monitor for signs of COVID-19 remotely.
University of South Australia
Al-Naji, A., et al. (2022) Contactless blood pressure estimation system using a computer vision system. Inventions. doi.org/10.3390/inventions7030084.