{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T10:26:34Z","timestamp":1730283994682,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T00:00:00Z","timestamp":1628467200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T00:00:00Z","timestamp":1628467200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T00:00:00Z","timestamp":1628467200000},"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":[[2021,8,9]]},"DOI":"10.1109\/mwscas47672.2021.9531909","type":"proceedings-article","created":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T22:17:52Z","timestamp":1631571472000},"page":"515-519","source":"Crossref","is-referenced-by-count":2,"title":["Analysis of Artifacts Removal Techniques in EEG Signals for Energy-Constrained Devices"],"prefix":"10.1109","author":[{"given":"Ian","family":"McNulty","sequence":"first","affiliation":[]},{"given":"Shiva Maleki","family":"Varnosfaderani","sequence":"additional","affiliation":[]},{"given":"Omar","family":"Makke","sequence":"additional","affiliation":[]},{"given":"Nabil J.","family":"Sarhan","sequence":"additional","affiliation":[]},{"given":"Eishi","family":"Asano","sequence":"additional","affiliation":[]},{"given":"Aimee","family":"Luat","sequence":"additional","affiliation":[]},{"given":"Mohammad","family":"Alhawari","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"987","DOI":"10.3390\/s19050987","article-title":"Removal of artifacts from EEG signals: A review","volume":"19","author":"jiang","year":"2019","journal-title":"Sensors (Basel Switzerland)"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1007\/s11277-019-06470-3"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1186\/1687-6180-2012-127"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1088\/1741-2552\/ab2b61"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1016\/j.neuroimage.2009.02.028"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/18.57199"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1016\/S0893-6080(00)00026-5"},{"key":"ref17","first-page":"1581","article-title":"Detrending and denoising with empirical mode decompositions","author":"flandrin","year":"2004","journal-title":"Proceedings of the 2004 12th European Signal Processing Conference"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/ICCSP.2016.7754244"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/JSEN.2019.2931727"},{"year":"2020","author":"hussein","article-title":"Epileptic seizure prediction: A semi-dilated convolutional neural network architecture","key":"ref4"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.5120\/2948-3935"},{"key":"ref3","article-title":"A generalised seizure prediction with convolutional neural networks for intracranial and scalp electroencephalogram data analysis","author":"truong","year":"2017","journal-title":"CoRR"},{"key":"ref6","first-page":"1","article-title":"A two-layer LSTM deep learning model for epileptic seizure prediction","author":"maleki varnosfaderani","year":"2021","journal-title":"2021 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)"},{"year":"2020","author":"rasheed","article-title":"A generative model to synthesize EEG data for epileptic seizure prediction","key":"ref5"},{"year":"0","article-title":"Cadwell","key":"ref8"},{"year":"0","article-title":"Emotiv","key":"ref7"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1016\/j.compbiomed.2018.05.019"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/TNSRE.2020.3000971"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/TITB.2006.884369"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/TBME.2012.2225427"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1103\/PhysRevE.64.061907"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/TITB.2012.2207400"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/JBHI.2014.2333010"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/JTEHM.2016.2544298"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1142\/S0129065717500435"},{"key":"ref25","first-page":"1","article-title":"Comprehensive analysis of EEG datasets for epileptic seizure prediction","author":"rahman","year":"2021","journal-title":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)"}],"event":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","start":{"date-parts":[[2021,8,9]]},"location":"Lansing, MI, USA","end":{"date-parts":[[2021,8,11]]}},"container-title":["2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9531648\/9531647\/09531909.pdf?arnumber=9531909","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:45:44Z","timestamp":1652197544000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9531909\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,9]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/mwscas47672.2021.9531909","relation":{},"subject":[],"published":{"date-parts":[[2021,8,9]]}}}