Dr Rachel Stirling
Research Fellow in Multiday Cycles
Department of Biomedical Engineering
27 Scholarly works
2 Projects
HIGHLIGHTS
2026
Journal article
Tracking seizure cycles beats a prospective moving average: Commentary on "Rigorous evaluation of five e-diary alone seizure forecasting tools"
DOI: 10.1002/epi.700842025
Journal article
Characterising seizure cycles in pediatric epilepsy
DOI: 10.1016/j.yebeh.2025.1105072025
Journal article
Forecasting epileptic seizures with wearable devices: A hybrid short- and long-horizon pseudo-prospective approach
DOI: 10.1111/epi.184662025
Journal article
More variable circadian rhythms in epilepsy captured by long-term heart rate recordings from wearable sensors
DOI: 10.1111/epi.184242025
Research grants (other domestic)
Unravelling the Genetic Basis of Epileptic Seizure Cycles
2025
Journal article
Evaluating the accuracy of monitoring seizure cycles with seizure diaries
DOI: 10.1111/epi.183092025
Research grants (ARC, NHMRC, MRFF)
Unravelling the Genetic Mechanisms of Multiday Seizure Cycles to Drive Novel Treatments for Intractable Epilepsy
RECENT SCHOLARLY WORKS
2025
Journal article
The FORESITE Study: FOREcasting Seizures to Initiate ThErapy – Technical Design, Hardware, and Algorithms (P5-9.001)
DOI: 10.1212/wnl.00000000002122042024
Journal article
Pro-Ictal EEG Scheduling Improves the Yield of Epilepsy Monitoring: Validating the Use of Multiday Seizure Cycles to Optimize Video-EEG Timing
DOI: 10.1002/ana.270782024
Journal article
User experience of a seizure risk forecasting app: A mixed methods investigation
DOI: 10.1016/j.yebeh.2024.1098762023
Journal article
Seizure cycles
DOI: 10.1016/j.jns.2023.1209022023
Conference Proceedings
Using seizure cycle forecasts to identify optimal monitoring timeframes and improve the diagnostic yield of vEEG