Brain computing, a small neuromorphic, wearable chip powered by AI, mimics the human brain to analyze health data.
Researchers have developed a stretchable semiconductor computing chip that mimics the human brain to process health information. They made the device at the University of Chicago’s Pritzker School of Molecular Engineering (PME). As the journal Matter explains, the gadget aims to revolutionize health data processing.
The neuromorphic wearable chip comprises stretchy semiconductors, is flexible, and uses AI (artificial intelligence) to analyze many real-time human health data.
Sihong Wang, Assistant Professor of Molecular Engineering and a materials scientist, said, “With this work we’ve bridged wearable technology with artificial intelligence and machine learning to create a powerful device which can analyze health data right on our own bodies.”
He further said that people could track their health statuses on wearable electronic gadgets in the future that can even detect diseases without any visible symptoms. In addition, flexible wearable computing chips and gadgets help enhance health detector functions.
Wang’s vision of future healthcare has smart devices like biosensors to track complex health indicators like the levels of various elements like sugar, oxygen, metabolites, and immune molecules in human blood. The sensors can conform to the skin and collect large amounts of information in real time, making the analysis increasingly complex. The data collected is used to know the patient’s history on various parameters from a larger perspective.
AI-based devices, unlike smartphones, integrate machine learning to identify health patterns by processing complex data collected in real-time. However, transferring this information to a centralized AI hub causes privacy concerns.
Wang said, “Sending health data wirelessly is slow and presents a number of privacy concerns. It is also incredibly energy inefficient; the more data we start collecting, the more energy these transmissions will start using.”
He explained, “With a smart watch, there’s always a gap. We wanted something that can achieve very intimate contact and accommodate the movement of skin.”
Wang and his colleagues used polymers to build stretchable semiconductors and electrochemical transistors. These polymers were assembled and powered with AI to analyze health data. Unlike a regular computer, the neuromorphic computing chip works like a human brain that stores and processes data in detail.
Wang’s group tested the device to analyze electrocardiogram (ECG) data that shows the electrical activity of the human heart.
According to Wang, “If you can get real-time information on blood pressure, for instance, this device could very intelligently make decisions about when to adjust the patient’s blood pressure medication levels,”
He further said, “Integration of artificial intelligence with wearable electronics is becoming a very active landscape. This is not finished research, it’s just a starting point.”