{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T16:09:33Z","timestamp":1778170173625,"version":"3.51.4"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672202"],"award-info":[{"award-number":["61672202"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61673156"],"award-info":[{"award-number":["61673156"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"State Key Program of NSFC-Shenzhen JointFoundation","award":["U1613217"],"award-info":[{"award-number":["U1613217"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities of China","doi-asserted-by":"publisher","award":["PA2020GDSK0061"],"award-info":[{"award-number":["PA2020GDSK0061"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities of China","doi-asserted-by":"publisher","award":["PA2019GDPK0076"],"award-info":[{"award-number":["PA2019GDPK0076"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tim.2021.3058983","type":"journal-article","created":{"date-parts":[[2021,2,13]],"date-time":"2021-02-13T02:43:53Z","timestamp":1613184233000},"page":"1-12","source":"Crossref","is-referenced-by-count":78,"title":["ETA-rPPGNet: Effective Time-Domain Attention Network for Remote Heart Rate Measurement"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2122-0240","authenticated-orcid":false,"given":"Min","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0936-1043","authenticated-orcid":false,"given":"Fei","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2578-8602","authenticated-orcid":false,"given":"Dong","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1751-2291","authenticated-orcid":false,"given":"Xiaohua","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7433-499X","authenticated-orcid":false,"given":"Lei","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4860-9184","authenticated-orcid":false,"given":"Fuji","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"402","article-title":"Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping","author":"caruana","year":"2001","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref33","article-title":"Network in network","author":"lin","year":"2013","journal-title":"arXiv 1312 4400"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00024"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.10.017"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1023\/A:1019160312366"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ROMAN.2014.6926392"},{"key":"ref34","article-title":"A reproducible study on remote heart rate measurement","author":"heusch","year":"2017","journal-title":"arXiv 1709 00962"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2004.826093"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.590"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2922304"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2010.5626580"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2476337"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2019.8756554"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.543"},{"key":"ref21","first-page":"392","article-title":"Meta-rPPG: Remote heart rate estimation using a transductive meta-learner","author":"lee","year":"2020","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref24","first-page":"485","article-title":"Image enhancement for remote photoplethysmography in a low-light environment","author":"xi","year":"2020","journal-title":"Proc 15th IEEE Int Conf Autom Face Gesture Recognit (FG)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1364\/OE.18.004867"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.10.012"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2883866"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1364\/OE.18.010762"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2266196"},{"key":"ref40","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2508602"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2016.2609282"},{"key":"ref14","first-page":"405","article-title":"Measuring pulse rate with a webcam&#x2014;A non-contact method for evaluating cardiac activity","author":"lewandowska","year":"2011","journal-title":"Proc Federated Conf Comput Sci Inf Syst (FedCSIS)"},{"key":"ref15","first-page":"3","article-title":"Visual heart rate estimation with convolutional neural network","author":"\u0161petl\u00edk","year":"2018","journal-title":"Proc Brit Mach Vis Conf"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_22"},{"key":"ref17","first-page":"1","article-title":"Remote photoplethysmograph signal measurement from facial videos using spatio-temporal networks","author":"yu","year":"2019","journal-title":"Proc BMVC"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CISP-BMEI48845.2019.8966034"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803649"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.9.003898"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.15406\/ijbsbe.2018.04.00125"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/aa6d02"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2018.8333392"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1364\/OE.16.021434"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-010-9506-z"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.263"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2879706"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2020.102737"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.103535"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00111"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.17"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/app9204364"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103813"},{"key":"ref44","first-page":"1","article-title":"Motion robust imaging ballistocardiography through a two-step canonical correlation analysis","volume":"70","author":"song","year":"2021","journal-title":"IEEE Trans Instrum Meas"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00152"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9259274\/09353569.pdf?arnumber=9353569","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:51:32Z","timestamp":1652194292000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9353569\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/tim.2021.3058983","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}