With the discovery of new AI-based technique, sugar patients don’t need to go through with a little painful fingerpick exercise to measure their blood sugar level. This will be a boon for children who seem to be averse for invasive finger-prick testing with a needle.

Researchers at the University of Warwick have developed artificial intelligence (AI)-based tool that can detect low-sugar levels from raw ECG signals via wearable sensors without any fingerprint test.

Current methods to measure glucose requires needles and repeated fingerpicks over the day.

“Our innovation consisted in using AI for automatic detecting hypoglycaemia via few ECG beats. This is relevant because ECG can be detected in any circumstance, including sleeping,” said Dr Leandro Pecchia from School of Engineering in a paper published in the Nature Springer journal Scientific Reports.

“Fingerpicks are never pleasant and in some circumstances are particularly cumbersome. Taking fingerpick during the night certainly is unpleasant, especially for patients in paediatric age,” said Pecchia.

The figure shows the output of the algorithms over the time: the green line represents normal glucose levels, while the red line represents the low glucose levels.

“Our approach enables personalised tuning of detection algorithms and emphasises how hypoglycaemic events affect ECG in individuals. Based on this information, clinicians can adapt the therapy to each individual,” the authors wrote.

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