Accurate detection of typical absence seizures in adults and children using a two‐channel electroencephalographic wearable behind the ears
Lauren Swinnen(KU Leuven), Wim Van Paesschen(VIB-KU Leuven Center for Microbiology), Kaat Vandecasteele(KU Leuven), Chantal Depondt(Université Libre de Bruxelles), Laura Seynaeve(Vrije Universiteit Brussel), Jaiver Macea(Allen Institute for Brain Science), Maarten De Vos(Rega Institute for Medical Research), Annelies Van Dycke(AZ Sint-Jan), Lieven Lagae(Allen Institute for Brain Science), Victoria Broux(KU Leuven), Katrien Jansen(KU Leuven), Christos Chatzichristos(KU Leuven), Evelien Vancaester(AZ Groeninge)
Cited by 73
Related Papers
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
|BMJ|2020|3.3k
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
|IEEE Transactions on Neural Systems and Rehabilitation Engineering|2019|608
How about taking a low‐cost, small, and wireless <scp>EEG</scp> for a walk?
|Psychophysiology|2012|555
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
|IEEE Transactions on Biomedical Engineering|2018|468
Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear
|Scientific Reports|2015|401