Research Highlights

Stirling, R et al. “User experience of a seizure risk forecasting app: A mixed methods investigation”. Epilepsy & Behavior 157 (2024).

Brinkmann, B et al. “Seizure forecasting and detection with wearable devices and subcutaneous EEG-outcomes from the my seizure gauge trial.” Epilepsia 64. (2023).

Nasseri, M et al. “Optimized seizure forecasting with wearable devices using multi-day cycles and acute machine learning.” Epilepsia 64, (2023).

Stirling, R et al. “Prospective validation of a mobile and wearable app to forecast seizure risk.” Epilepsia 64 (2023).

Xiong W et al. “Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study.” EBioMedicine. (2023).

Stirling RE et al. “Sleep and seizure risk in epilepsy: bed and wake times are more important than sleep duration.” Brain. (2023).

Gregg NM et al. “Seizure occurrence is linked to multiday cycles in diverse physiological signals.” Epilepsia. (2023)

Brinkmann B, et al. “Seizure Forecasting and Detection with Wearable Devices and Subcutaneous EEG–Outcomes from the My Seizure Gauge Trial”. Neurology. (2023)

Nasseri M et al. “Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning.” Nature Scientific Reports. (2021).

Karoly PJ, et al. “Multiday cycles of heart rate are associated with seizure likelihood: An observational cohort study.” EBioMedicine. (2021).

Stirling RE, et al. “Forecasting seizure likelihood with wearable technology.“ Frontiers in neurology. (2021).

Brinkmann BH, et al. “Seizure diaries and forecasting with wearables: epilepsy monitoring outside the clinic.” Frontiers in Neurology. (2021).

Nasseri M, et al. “Non-invasive wearable seizure detection using long–short-term memory networks with transfer learning.” Journal of neural engineering. (2021).

Payne DE, et al. “Identifying seizure risk factors: A comparison of sleep, weather, and temporal features using a Bayesian forecast.” Epilepsia. (2021).

Karoly PJ, et al. “Forecasting cycles of seizure likelihood.” Epilepsia. (2020).

Nasseri M, et al. “Signal quality and patient experience with wearable devices for epilepsy management.” Epilepsia. 61 (2020).

Karoly PJ, et al. Multiday cycles of heart rate modulate seizure likelihood at daily, weekly and monthly.“ Psychiatry. (2018).