{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,19]],"date-time":"2024-12-19T05:16:10Z","timestamp":1734585370705,"version":"3.30.2"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T00:00:00Z","timestamp":1729382400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T00:00:00Z","timestamp":1729382400000},"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":[[2024,10,20]]},"DOI":"10.1109\/sensors60989.2024.10784646","type":"proceedings-article","created":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T19:07:24Z","timestamp":1734462444000},"page":"1-4","source":"Crossref","is-referenced-by-count":0,"title":["Decoding Brain Age: A Self-Supervised Graph Neural Network Framework for EEG Analysis"],"prefix":"10.1109","author":[{"given":"Zara","family":"Cook","sequence":"first","affiliation":[{"name":"University of Waterloo,National Research Council Canada,Waterloo,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengzong","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of Waterloo, National Research Council Canada,Waterloo,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Livia","family":"Murray","sequence":"additional","affiliation":[{"name":"University of Waterloo,National Research Council Canada,Waterloo,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jivan","family":"Kesan","sequence":"additional","affiliation":[{"name":"University of Waterloo,National Research Council Canada,Waterloo,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nabil","family":"Belacel","sequence":"additional","affiliation":[{"name":"Digital Technologies,National Research Council Canada,Ottawa,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":"Division of Neurology, Fraser Health Authority,Vancouver,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vasily A.","family":"Vakorin","sequence":"additional","affiliation":[{"name":"Simon Fraser University,Biomedical Physiology and Kinesiology,Burnaby,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengcheng","family":"Xi","sequence":"additional","affiliation":[{"name":"Digital Technologies,National Research Council Canada,Ottawa,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/mp.2017.62"},{"journal-title":"Self-supervised learning for electroencephalogram: A systematic survey","year":"2024","author":"Weng","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2024.3355750"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24501"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/s22218112"},{"issue":"5","key":"ref6","doi-asserted-by":"crossref","first-page":"056013","DOI":"10.1088\/1741-2552\/aace8c","article-title":"Eegnet: a compact convolutional neural network for eeg-based brain-computer interfaces","volume":"15","author":"Lawhern","year":"2018","journal-title":"Journal of Neural Engineering"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SENSORS56945.2023.10324895"},{"key":"ref8","first-page":"38","article-title":"Explainable age predictions from electroencephalog-raphy data","volume":"9","author":"Cook","year":"2024","journal-title":"Journal of Computational Vision and Imaging Systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC60896.2024.10560863"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM49941.2020.9313163"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16452-1_19"},{"key":"ref12","first-page":"105331","article-title":"Semi-supervised time series classification model with self-supervised learning","volume-title":"Engineering Applications of Artificial Intelligence","volume":"116","author":"Xi","year":"2022"},{"issue":"4","key":"ref13","doi-asserted-by":"crossref","first-page":"046020","DOI":"10.1088\/1741-2552\/abca18","article-title":"Uncovering the structure of clinical eeg signals with self-supervised learning","volume":"18","author":"Banville","year":"2021","journal-title":"Journal of Neural Engineering"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557589"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/BCI57258.2023.10078451"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599426"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3263570"},{"issue":"23","key":"ref18","article-title":"Applying self-supervised representation learning for emotion recognition using physiological signals","volume-title":"Sensors","volume":"22","author":"Montero Quispe","year":"2022"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2022.3170428"},{"journal-title":"Clash: Contrastive learning through alignment shifting to extract stimulus information from eeg","year":"2024","author":"Accou","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3213171"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/mlsp.2019.8918693"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3934\/mbe.2022325"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/NER52421.2023.10123767"},{"article-title":"Self-supervised graph neural networks for improved electroencephalographic seizure analysis","volume-title":"International Conference on Learning Representations","author":"Tang","key":"ref25"},{"journal-title":"Temporal graph convolutional networks for automatic seizure detection","year":"2019","author":"Covert","key":"ref26"},{"key":"ref27","first-page":"292","article-title":"Eeg emotion recognition based on self-attention dynamic graph neural networks","volume-title":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","author":"Li"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5656"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00196"}],"event":{"name":"2024 IEEE SENSORS","start":{"date-parts":[[2024,10,20]]},"location":"Kobe, Japan","end":{"date-parts":[[2024,10,23]]}},"container-title":["2024 IEEE SENSORS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10783834\/10784457\/10784646.pdf?arnumber=10784646","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T07:20:33Z","timestamp":1734506433000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10784646\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,20]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/sensors60989.2024.10784646","relation":{},"subject":[],"published":{"date-parts":[[2024,10,20]]}}}