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The average period of recordings was 161.9 h, with an average of 9 electrographic seizures in an individual patient. The relationship between seizure onset times and phases of variance and autocorrelation in EEG and ECG data was investigated. The results of forecasting models using critical slowing features, seizure circadian features, and combined critical slowing and circadian features were compared using the receiver-operating characteristic curve. The results demonstrated that the best forecaster was patient-specific and the average area under the curve (AUC) of the best forecaster across patients was 0.68. In 50% of patients, circadian forecasters had the best performance. Critical slowing forecaster performed best in 19% of patients. Combined forecaster achieved the best performance in 31% of patients. The results of this study may help to advance the field of seizure forecasting and lead to the improved quality of life of people who suffer from epilepsy.<\/jats:p>","DOI":"10.1142\/s0129065721500398","type":"journal-article","created":{"date-parts":[[2021,7,31]],"date-time":"2021-07-31T11:39:25Z","timestamp":1627731565000},"page":"2150039","source":"Crossref","is-referenced-by-count":14,"title":["Seizure Forecasting Using Long-Term Electroencephalography and Electrocardiogram Data"],"prefix":"10.1142","volume":"31","author":[{"given":"Wenjuan","family":"Xiong","sequence":"first","affiliation":[{"name":"School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia"}]},{"given":"Ewan S.","family":"Nurse","sequence":"additional","affiliation":[{"name":"Seer Medical, Melbourne, Australia"}]},{"given":"Elisabeth","family":"Lambert","sequence":"additional","affiliation":[{"name":"School of Health Sciences Swinburne, University of Technology, Melbourne, Australia"},{"name":"Iverson Health Innovation Research Institute, Swinburne University of Technology, Melbourne, Australia"}]},{"given":"Mark J.","family":"Cook","sequence":"additional","affiliation":[{"name":"Department of Medicine, St Vincent\u2019s Hospital, The University of Melbourne, Melbourne, Australia"},{"name":"Graeme Clark Institute, The University of Melbourne, Melbourne, Australia"}]},{"given":"Tatiana","family":"Kameneva","sequence":"additional","affiliation":[{"name":"School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia"},{"name":"Iverson Health Innovation Research Institute, Swinburne University of Technology, Melbourne, Australia"},{"name":"Department of Biomedical Engineering, The University of Melbourne, Melbourne, Australia"}]}],"member":"219","published-online":{"date-parts":[[2021,7,31]]},"reference":[{"issue":"3","key":"S0129065721500398BIB001","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1136\/jnnp.2003.029223","volume":"75","author":"Sander J.","year":"2004","journal-title":"J. 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