{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T04:20:16Z","timestamp":1769574016261,"version":"3.49.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,29]]},"DOI":"10.1109\/sensors56945.2023.10324895","type":"proceedings-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T14:02:53Z","timestamp":1701180173000},"page":"1-4","source":"Crossref","is-referenced-by-count":5,"title":["Machine Learning Methods for Electroencephalogram-Based Age Prediction"],"prefix":"10.1109","author":[{"given":"Grant","family":"Sinha","sequence":"first","affiliation":[{"name":"Simon Fraser University, University of Waterloo,Waterloo,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nabil","family":"Belacel","sequence":"additional","affiliation":[{"name":"National Research Council Canada,Digital Technologies Research Centre,Ottawa,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyang","family":"Gu","sequence":"additional","affiliation":[{"name":"Simon Fraser University, McMaster University,Hamilton,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sam M","family":"Doesburg","sequence":"additional","affiliation":[{"name":"Simon Fraser University,Biomedical Physiology and Kinesiology,Burnaby,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George","family":"Medvedev","sequence":"additional","affiliation":[{"name":"Fraser Health Authority,Division of Neurology,Vancouver,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Urs","family":"Ribary","sequence":"additional","affiliation":[{"name":"Simon Fraser University,Department of Psychology,Burnaby,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vasily A","family":"Vakorin","sequence":"additional","affiliation":[{"name":"Simon Fraser University,Department of Psychology,Burnaby,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengcheng","family":"Xi","sequence":"additional","affiliation":[{"name":"National Research Council Canada,Digital Technologies Research Centre,Ottawa,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/mp.2017.62"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/JBHI.2023.3236264","article-title":"Byte-Pair Encoding for classifying routine clinical electroencephalograms in adults over the lifespan","author":"Klymenko","year":"2023","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"issue":"11","key":"ref3","first-page":"1525","article-title":"Neural Decoding of EEG Signals with Machine Learning: A Systematic Review","volume-title":"Brain Sciences","volume":"11","author":"Saeidi","year":"2021"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2014\/730218","article-title":"Methods of EEG Signal Features Extraction Using Linear Analysis in Frequency and Time-Frequency Domains","volume":"2014","author":"Al-Fahoum","year":"2014","journal-title":"ISRN Neuroscience"},{"issue":"5","key":"ref5","doi-asserted-by":"crossref","first-page":"056013","DOI":"10.1088\/1741-2552\/aace8c","article-title":"EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces","volume":"15","author":"Lawhern","year":"2018","journal-title":"Journal of Neural Engineering"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24501"},{"issue":"21","key":"ref7","first-page":"8112","article-title":"Brain Age Prediction\/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects","volume-title":"Sensors","volume":"22","author":"Jusseaume","year":"2022"},{"issue":"8","key":"ref8","first-page":"1735","article-title":"Long Short-Term Memory","volume-title":"Neural Computation","volume":"9","author":"Hochreiter","year":"1997"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1201.0490"},{"key":"ref10","first-page":"85","article-title":"Deep Learning in Neural Networks: An Overview","volume-title":"Neural Networks","volume":"61","author":"Schmidhuber","year":"2015"},{"key":"ref11","first-page":"1","article-title":"Deep Learning based Prediction of EEG Motor Imagery of Stroke PatientsaAZ for Neuro-Rehabilitation Application","volume-title":"2020 International Joint Conference on Neural Networks (IJCNN)","author":"Raza"},{"key":"ref12","first-page":"24","article-title":"A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals","volume-title":"Computers in Biology and Medicine","volume":"99","author":"Tsiouris","year":"2018"},{"key":"ref13","volume-title":"Application of machine learning to epileptic seizure onset detection and treatment","author":"Shoeb","year":"2009"},{"issue":"11","key":"ref14","first-page":"2086","article-title":"LSTM-Based EEG Classification in Motor Imagery Tasks","volume-title":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"26","author":"Wang","year":"2018"},{"key":"ref15","volume-title":"BCI Competition 2008 aAS Graz data set A","author":"Brunner","year":"2008"},{"key":"ref16","article-title":"An Image is Worth 16\u00d716 Words: Transformers for Image Recognition at Scale","volume-title":"arXiv","author":"Dosovitskiy","year":"2021"},{"key":"ref17","first-page":"1304","article-title":"Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG","volume-title":"2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)","author":"Potter"},{"key":"ref18","article-title":"Transformer-based Spatial-Temporal Feature Learning for EEG Decoding","volume-title":"arXiv","author":"Song","year":"2021"}],"event":{"name":"2023 IEEE SENSORS","location":"Vienna, Austria","start":{"date-parts":[[2023,10,29]]},"end":{"date-parts":[[2023,11,1]]}},"container-title":["2023 IEEE SENSORS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10324456\/10324848\/10324895.pdf?arnumber=10324895","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T17:14:26Z","timestamp":1761326066000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10324895\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,29]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/sensors56945.2023.10324895","relation":{},"subject":[],"published":{"date-parts":[[2023,10,29]]}}}