{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T20:01:08Z","timestamp":1769198468370,"version":"3.49.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T00:00:00Z","timestamp":1718323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T00:00:00Z","timestamp":1718323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012151","name":"Sanming Project of Medicine in Shenzhen","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012151","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,14]]},"DOI":"10.1109\/civemsa58715.2024.10586614","type":"proceedings-article","created":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T17:22:53Z","timestamp":1720632173000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Application of CNN Classifier for Somatosensory ERP-Based Brain-Computer Interface"],"prefix":"10.1109","author":[{"given":"Junlin","family":"Wang","sequence":"first","affiliation":[{"name":"The University of Hong Kong,Department of Orthopaedics and Traumatology,Hong Kong S.A.R."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingyu","family":"Lu","sequence":"additional","affiliation":[{"name":"University of Macau,Department of Computer and Information Science,Macau S.A.R."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ningbo","family":"Fei","sequence":"additional","affiliation":[{"name":"The University of Hong Kong,Department of Orthopaedics and Traumatology,Hong Kong S.A.R."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodong","family":"Li","sequence":"additional","affiliation":[{"name":"The University of Hong Kong-Shenzhen Hospital,Orthopedics Center,Shenzhen,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Hu","sequence":"additional","affiliation":[{"name":"The University of Hong Kong,Department of Orthopaedics and Traumatology,Hong Kong S.A.R."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1044\/1092-4388(2008\/018)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.2006.123067"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/8\/2\/025004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/1550059414522229"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3185262"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1111\/j.1749-6632.2008.04122.x"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s40846-018-0459-x"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2021.641357"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1111\/jpr.12362"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00270"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S1388-2457(00)00527-7"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"issue":"11","key":"ref13","doi-asserted-by":"crossref","first-page":"5391","DOI":"10.1002\/hbm.23730","article-title":"Deep learning with convolutional neural networks for EEG decoding and visualization","volume":"38","author":"Schirrmeister","year":"2017","journal-title":"Human brain mapping"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2020.3048106"},{"key":"ref15","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref17","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume-title":"International conference on machine learning","author":"Tan"},{"key":"ref18","first-page":"10096","article-title":"Efficientnetv2: Smaller models and faster training","volume-title":"International conference on machine learning","author":"Tan"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3067943"}],"event":{"name":"2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","location":"Xi\u2019an, China","start":{"date-parts":[[2024,6,14]]},"end":{"date-parts":[[2024,6,16]]}},"container-title":["2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10586233\/10586443\/10586614.pdf?arnumber=10586614","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T05:28:03Z","timestamp":1721280483000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10586614\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,14]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/civemsa58715.2024.10586614","relation":{},"subject":[],"published":{"date-parts":[[2024,6,14]]}}}