Artificial Intelligence for non-invasive hypoglycaemia detection: our article among the top 50 papers downloaded in Scientific Reports!
In January 2020, Dr Pecchia and his team published their first work demonstrating that it is possible to automatically detect hypoglycaemic event using deep-learning, ECG wearable sensors, and with no finger-pricks. This study, was very well received in the relevant community, and resulted in two new research projects piloting this technology in clinical settings with adult and paediatric patients. Today, we have been also notified by Nature Editor that this paper was one of the top 50 downloaded papers for Scientific Reports in 2020.
We are particularly proud, considering that Scientific Reports published more than 21,000 papers in 2020, which is positioning our paper among top 99.8% for number of downloads!
During the 2020, the pandemic affected the non-COVID related studies, but with numbers getting better in the UK, our team is now re-starting these studies, which we prioritise considering the positive impact this may have on diabetic patients, especially in paediatric age.