Developed by researchers at the University's School of Science and Engineering, the wearable device uses AI to analyse brainwave and heart data in real-time, alerting patients and carers to an impending seizure with up to 95% accuracy.

The system was trained using thousands of hours of historical electroencephalography (EEG) and electrocardiography (ECG) recordings.

The project brings together researchers, advocates and R&D teams from across Scotland, including Glasgow Caledonian University's Professor Hadi Larijani, who leads the research; the University of Glasgow's meLAB, led by Professor Hadi Hadari; the William Quarrier Scottish Epilepsy Centre; and the Royal Hospital for Children, Glasgow, led by Professor Sameer Zuberi.

By collaborating with these clinical and research partners, the team is collecting additional data to refine the model further. By learning to identify the subtle electrical and physiological patterns that precede a seizure, the AI can issue a timely alert − giving patients and families crucial minutes to prepare and stay safe.

To ensure the device meets real-world needs, researchers also conducted an international survey seeking feedback from clinicians, patients and carers, and the responses are shaping the final design.

The research team has now secured fresh support from UK Research and Innovation (UKRI) through its £9m Proof of Concept programme, which backs 48 pioneering projects across medicine, space science and AI. The funding will help take the technology from prototype to commercial product.

Professor Hadi Larijani, who leads the research at Glasgow Caledonian University, said: 'Providing even a few minutes' warning could be life changing. Our goal is to empower patients and families with time to act to stay safe and live more independently.'

The GCU research team believes the technology could soon move from the laboratory to homes and hospitals.