{"doi":"10.1111/epi.18466","title":"Forecasting epileptic seizures with wearable devices: A hybrid short‐ and long‐horizon pseudo‐prospective approach","abstract":"OBJECTIVE: Seizure unpredictability can be debilitating and dangerous for people with epilepsy. Accurate seizure forecasters could improve quality of life for those with epilepsy but must be practical for long-term use. This study presents the first validation of a seizure-forecasting system using ultra-long-term, non-invasive wearable data. METHODS: Eleven participants with epilepsy were recruited for continuous monitoring, capturing heart rate and step count via wrist-worn devices and seizures via electroencephalography (average recording duration of 337 days). Two hybrid models-combining machine learning and cycle-based methods-were proposed to forecast seizures at both short (minutes) and long (up to 44 days) horizons. RESULTS: The Seizure Warning System (SWS), designed for forecasting near-term seizures, and the Seizure Risk System (SRS), designed for forecasting long-term risk, both outperformed traditional models. In addition, the SRS reduced high-risk time by 29% while increasing sensitivity by 11%. SIGNIFICANCE: These improvements mark a significant advancement in making seizure forecasting more practical and effective.","journal":"Epilepsia","year":2025,"id":515629,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":13,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9427,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":990724,"name":"Rachel E. Stirling","orcid":"0000-0002-4698-3773","position":1,"is_corresponding":false},{"id":868725,"name":"Pedro F. Viana","orcid":"0000-0003-0861-8705","position":2,"is_corresponding":false},{"id":374808,"name":"Jie Cui","orcid":"0000-0003-4033-1341","position":3,"is_corresponding":false},{"id":867833,"name":"Ewan S. Nurse","orcid":"0000-0001-8981-0074","position":4,"is_corresponding":false},{"id":255533,"name":"Philippa J. Karoly","orcid":"0000-0002-9879-5854","position":5,"is_corresponding":false},{"id":285710,"name":"Václav Křemen","orcid":"0000-0001-9844-7617","position":6,"is_corresponding":false},{"id":255536,"name":"Matthias Dümpelmann","orcid":"0000-0002-1476-7777","position":7,"is_corresponding":false},{"id":227179,"name":"Gregory A. Worrell","orcid":"0000-0003-2916-0553","position":8,"is_corresponding":false},{"id":482528,"name":"Dean R. Freestone","orcid":"0000-0003-2411-5358","position":9,"is_corresponding":false},{"id":241367,"name":"Mark P. Richardson","orcid":"0000-0001-8925-3140","position":10,"is_corresponding":false},{"id":271428,"name":"Benjamin H. Brinkmann","orcid":"0000-0002-2392-8608","position":11,"is_corresponding":false},{"id":285709,"name":"Mona Nasseri","orcid":"0000-0002-2511-1458","position":0,"is_corresponding":true}],"reference_count":56,"raw_metadata":null,"created_at":"2026-07-19T02:48:39.436300Z","pmid":"40411751","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}