Digital Tools for Seizure Monitoring and Self-Management in Epilepsy: A Narrative Review

Background/Objectives: Medication non-adherence and incomplete seizure documentation remain major challenges in epilepsy care, particularly in drug-resistant forms. Digital health tools may improve self-management by integrating seizure tracking, adherence support, and patient-clinician communication. This narrative review summarizes current mobile applications for seizure monitoring and adherence and outlines opportunities and gaps in clinical translation. Methods: A narrative synthesis (PubMed, Scopus, Google Scholar; 2019-2025; English) summarized functionality, usability, clinical validation, and limitations of epilepsy-focused mobile/wearable applications; no systematic methods or meta-analysis were applied. Results: Existing tools cluster into seizure diary apps, smartwatch-based monitoring systems, and adherence-focused applications. While they improve documentation and treatment regularity, most lack adaptive personalization, language localization and therapeutically active components. Comprehensive platforms combining tracking, adherence analytics and telehealth remain unevenly validated. Validated wearable detectors for generalized tonic-clonic seizures typically report sensitivity in the 80-95% range in real-world or simulated-real-world studies, alongside variable specificity and false-alarm rates, underscoring the need for individualized deployment and calibration. Conclusions: Mobile and wearable applications are promising adjuncts to routine epilepsy care. The field is gradually shifting from passive monitoring toward integrated, user-centered platforms that blend monitoring, predictive analytics and neuromodulation. This review also briefly outlines a conceptual example of an integrated mobile platform that combines seizure documentation, adherence support and patient-initiated rhythmic cueing; this example is presented at a purely exploratory level and requires further clinical validation.