Tracking sugar in the blood is crucial for both healthy individuals and diabetic patients. Current methods to measure glucose requires needles and repeated fingerpicks over the day. Fingerpicks can often be painful, deterring patient compliance.
A new technique developed by researchers at the University of Warwick uses the latest findings of Artificial Intelligence to detect hypoglycaemic events from raw ECG signals, via wearable sensors. The technology works with an 82% reliability and could replace the need for invasive finger-prick testing with a needle, which could be particularly useful for paediatric age patients.
Dr. Leandro Pecchia, from the School of Engineering at the University of Warwick, commented: “Fingerpicks are never pleasant and in some circumstances are particularly cumbersome. Taking fingerpick during the night certainly is unpleasant, especially for patients of paediatric age.
“Our innovation uses artificial intelligence for automatic detecting hypoglycaemia via few ECG beats. This is relevant because ECG can be detected in any circumstance, including sleeping.”
