Key result
Multimodal wearable seizure detectors improve sensitivity over single modalities but often increase false alarms.
Why the study?
There is a growing demand for reliable, real-time seizure detection technologies to improve epilepsy management and enhance data collection in clinical trials.
Ambulatory seizure detection technologies, including EEG, sEMG, accelerometry, ECG, and PPG, show promise for improving epilepsy management and clinical trials, but require further validation and improvements in usability and seizure-type coverage.
Wide sensitivity variation and false-alarm trade-offs caution against routine clinical use; leaves open standardized multimodal validation across seizure types.
There is growing demand for reliable, real-time seizure detection technologies to improve epilepsy management and enhance data collection in clinical trials. This review examines various ambulatory seizure detection modalities, including electroencephalography (EEG), surface electromyography (sEMG), accelerometry, electrocardiography (ECG), and photoplethysmography (PPG), with a focus on their clinical utility, performance, and implementation challenges. While these technologies show significant promise, achieving consistent and accurate detection remains a major hurdle. Key barriers include device usability, limited seizure-type coverage, and the need for rigorous validation. A multi-stakeholder approach, involving researchers, clinicians, and patients, will be essential for designing tools that are fit for purpose and realizing their full potential in both epilepsy care and clinical research.
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Russo et al. (2026) conducted a review in Epilepsy. Wearable seizure detection technologies vary in sensitivity from 32% to 100% depending on modality and seizure type, with multimodal systems generally improving sensitivity over single modalities but often increasing false alarms.
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