Engineers from the University of South Australia have designed a system to remotely measure blood pressure by filming a person’s forehead and extracting heart signals using artificial intelligence algorithms.
Using the same remote health technology they developed to monitor vital health signs remotely, engineers from the University of South Australia and Middle Technical University Baghdad have designed a wireless system. contact to accurately measure systolic and diastolic pressure.
It could replace the existing uncomfortable and cumbersome method of attaching an inflatable cuff to a patient’s arm or wrist, the researchers say.
In a new article published in inventionsthe researchers describe the technique, which involves filming a person at close range for 10 seconds and extracting heart signals from two regions of the forehead, using artificial intelligence algorithms.
The systolic and diastolic readings were about 90% accurate, compared to the existing instrument (a digital sphygmomanometer) used to measure blood pressure, which itself is prone to error.
Experiments were performed on 25 people with different skin tones and under changing lighting conditions, overcoming limitations reported in previous studies.
“Blood pressure monitoring is key to detecting and managing cardiovascular disease, the leading cause of death worldwide, responsible for nearly 18 million deaths in 2019,” says UniSA Remote Sensing Engineer Prof. Javaan Chahl .
“Furthermore, over the past 30 years, the number of adults with hypertension has fallen from 650 million to 1.28 billion worldwide.
“The healthcare industry needs a system that can accurately measure blood pressure and assess cardiovascular risk 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 problems facing the world today,” Professor Chahl says.
Cutting-edge technology has come a long way since 2017, when the UniSA and Iraqi research team demonstrated image processing algorithms capable of extracting a human’s heart rate from drone video.
Over the past five years, researchers have developed algorithms to measure other vital signs, including respiratory rates from 50 meters away, oxygen saturation, temperature and jaundice in newborns.
Their contactless technology has also been deployed in the United States during the pandemic to remotely monitor for signs of COVID-19.
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Material provided by University of South Australia. Note: Content may be edited for style and length.
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Checking blood pressure in a snap, using artificial intelligence and a camera – CNET
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