ΑΙhub.org
 

New device monitors blood glucose levels using radar and AI


by
15 October 2020



share this:
Researchers test a prototype of a new diabetes device for prick-free glucose monitoring.

New technology can quickly and accurately monitor glucose levels in people with diabetes without painful finger pricks to draw blood. A palm-sized device developed by researchers at the University of Waterloo uses radar and artificial intelligence (AI) to non-invasively read blood inside the human body.

“The key advantage is simply no pricking,” said George Shaker, an engineering professor at Waterloo. “That is extremely important for a lot of people, especially elderly people with very sensitive skin and children who require multiple tests throughout the day.”

About the same size as existing glucometers, the rectangular device works by sending radio waves through the skin and into blood vessels when users place the tip of their finger on a touchpad. The waves are then reflected back to the device for signal processing and analysis by a machine learning algorithm (principal component analysis), telling users within seconds whether their blood sugar has gone up, down or remained the same.

Changes are measured in relation to a baseline reading that would be obtained every few weeks with a glucometer or a laboratory blood test to ensure accuracy.

“Our safe, reusable, pain-free device would eliminate the need for implanted sensors, patches or devices that use chemical reactions or fluid transfer through the skin,” said Ala Eldin Omer, an engineering PhD student who led the project.

Researchers are now exploring commercialization of the inexpensive technology – they estimate the device would retail for less than $500 – and developing a wearable device similar to a smartwatch that would be on at all times.

“This finding paves the way for continuous monitoring,” said Shaker. “Given the current pace of progress, I expect the technology to be available in a wearable form within the next couple of years.”

Safieddin (Ali) Safavi-Naeini, also an engineering professor at Waterloo, said the science at the heart of the diabetes device potentially has several additional applications. “Since many ingredients of blood have distinct electromagnetic properties, the same technology could be extended to other types of blood analysis and medical diagnosis,” he said.

Much of the work was conducted at the Wireless Sensors and Devices Lab and the Centre for Intelligent Antenna and Radio Systems (CIARS) at Waterloo. Collaborators included several researchers at Sorbonne University in Paris.

Read the paper in full

Low‑cost portable microwave sensor for non‑invasive monitoring of blood glucose level: novel design utilizing a four‑cell CSRR hexagonal confguration
Ala Eldin Omer, George Shaker, Safeddin Safavi‑Naeini, Hamid Kokabi, Georges Alquié, Frédérique Deshours & Raed M. Shubair.




University of Waterloo

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

AI-powered camera system offers low-cost way to monitor bumblebees

  04 Sep 2026
Researchers have developed a semi-automated method that uses remote cameras to survey bumblebees and potentially other insects.

Interview with Noah Golowich – theoretical foundations for learning in games and dynamic environments

  03 Sep 2026
Noah Golowich tells us about his research into the theory of decision making and learning in games, which have applications in Multi-Agent Reinforcement Learning.

Forthcoming machine learning and AI seminars: September 2026 edition

  02 Sep 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.
AI pioneers

Combining cultures, from code to canvas: an interview with Ken Goldberg

  01 Sep 2026
AI Pioneer Ken Goldberg on the clash of cultures within robotics, his career bridging art and science, and the meteoric rise of agentic robotics.

What happens when AI runs out of pictures?

AI is data-hungry and needs thousands of images to learn how to detect tumours or product defects, but often very few are available. A new method aims to change that.
monthly digest

AIhub monthly digest: August 2026 – IJCAI-ECAI in Bremen, the mathematics of simplicity, and does AI change the way we think?

  28 Aug 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

AI agents create virtual playgrounds to help robots get crucial training data

  27 Aug 2026
“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

First 11 vs 11 humanoid soccer game played at RoboCup 2026

  26 Aug 2026
Watch highlights from this historic match.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence