Enabling the early and equitable diagnosis of epilepsy in infants in the community (EPIC)

Epilepsy has one of the highest incidences in children under the age of five. Infantile spasms are one of the most common severe forms of epilepsy in infants, however, seizures may be difficult to recognise. Brief staring, twitching or other unusual movements may be seen as normal behaviours and get overlooked, delaying diagnosis. Not all healthcare professionals have experience in suspecting infantile spasms. Although early diagnosis and prompt treatment may prevent adverse neurodevelopmental outcomes, families and charities representing infantile spasms have reported delays in diagnosis.

To confirm or rule out infantile spasms, an EEG (electroencephalogram) is required. However, the timely availability of EEG appointments, clinicians who can review EEG results, or hospital beds is varied. Additionally, access inequalities greatly affect families living in remote areas and/or deprived backgrounds, further delaying diagnosis.

In recent years, ambulatory EEGs are increasingly conducted by the hospital team in the patient’s home, however, this approach is highly labour-intensive and time-consuming. For these reasons, our team of researchers (including health professionals, engineers and scientists) will work alongside clinicians and families to create a ‘remote’ EEG, with in-built Artificial Intelligence (AI) detection software, that will be available in community settings (i.e., at home for the family to use or at the GP). This could allow families to have an EEG screening more quickly if they suspect their child may have epilepsy, and to monitor the effect of treatment without having to travel repeatedly to the hospital.

Project Aims

1. To partner with families and clinicians to identify barriers preventing the early detection and management of childhood epilepsies in the community, and to co-deliver solutions to them.
2. To co-develop methods to automatically and efficiently measure changes in EEG brain activity due to early stages of childhood epilepsies.
3. To co-create AI methods for more accurate and patient-specific management.
4. To demonstrate that our solution reduces health inequalities by enabling the detection, monitoring and prediction of response to treatment in childhood epilepsies in the community.

EPIC is a multidisciplinary collaboration, led by the School of Engineering, with co-leads at NHS Lothian and the Usher Insitute. Scroll down to the "Key People" heading to learn more about the team.

• Epilepsy Research Institute UK
• Epilepsy Scotland
• UK Infantile Spasms Trust
• SYNGAP1 UK
• BrainsView

This work was supported by the Engineering and Physical Sciences Research Council [Grant number UKRI1659].

January 2026 – December 2028