Dr Rachel Stirling
Research Fellow in Multiday Cycles
Department of Biomedical Engineering
28 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.700842026
Journal article
Investigation of stress hormones across multiday seizure cycles
DOI: 10.1093/braincomms/fcag2172025
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
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
Evaluating the accuracy of monitoring seizure cycles with seizure diaries
DOI: 10.1111/epi.183092025
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.2023.120902