Epilepsy is a neurological disorder that affects 50 million people worldwide. It is characterised by seizures that can vary in presentation, from short absences to protracted convulsions. Wearable electronic devices that detect seizures have the potential to hail timely assistance for individuals, inform their treatment, and assist care and self-management. This systematic review encompasses the literature relevant to the evaluation of wearable electronics for epilepsy. Devices and performance metrics are identified, and the evaluations, both quantitative and qualitative, are presented. Twelve primary studies comprising quantitative evaluations from 510 patients and participants were collated according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Two studies (with 104 patients/participants) comprised both qualitative and quantitative evaluation components. Despite many works in the literature proposing and evaluating novel and incremental approaches to seizure detection, there is a lack of studies evaluating the devices available to consumers and researchers, and there is much scope for more complete evaluation data in quantitative studies. There is also scope for further qualitative evaluations amongst individuals, carers, and healthcare professionals regarding their use, experiences, and opinions of these devices.

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Wearable health devices have the potential to incentivize individuals in health-promoting behaviors and to assist in the monitoring of health conditions. Wearable epilepsy seizure monitoring devices are now evolving that can support individuals and their caregivers via the automated sensing, reporting and logging of epileptic seizures. This work contributes a novel reflection on the interface requirements of wearer users and non-wearer stakeholder users. We evaluate the "guessability" of the light pattern interface of the Empatica Embrace wrist-worn epileptic seizure monitor and provide box plot results for eight interface indications. We also report summarised feedback from a heuristic analysis with fourteen participant evaluators. The results indicate some satisfaction with the minimal aesthetic of a simple light pattern interface as well as some concerns about confusion between different indications, accessibility and reliance on recall. CCS CONCEPTS• Human-centered computing → Interaction design.

Wearable health devices that detect epileptic seizures have the potential to hail timely assistance for individuals, inform their treatment and assist care and self-management. New wearable seizuredetecting devices are becoming available to individuals, carers and researchers but there is scope for improvements in device performance and for more evaluations in the research literature. This position paper outlines research that includes a review of the evaluation literature and both quantitative and qualitative device evaluations.