{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T22:52:34Z","timestamp":1777675954969,"version":"3.51.4"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N000141812579"],"award-info":[{"award-number":["N000141812579"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N000142112036"],"award-info":[{"award-number":["N000142112036"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1109\/jbhi.2025.3576385","type":"journal-article","created":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T13:42:54Z","timestamp":1749217374000},"page":"8048-8058","source":"Crossref","is-referenced-by-count":3,"title":["Denoising Motion-Corrupted Seismocardiogram Signals Using Score-Based Generative Diffusion Models"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9369-2362","authenticated-orcid":false,"given":"David J.","family":"Lin","sequence":"first","affiliation":[{"name":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5124-684X","authenticated-orcid":false,"given":"Mohammad","family":"Nikbakht","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7952-1794","authenticated-orcid":false,"given":"Omer T.","family":"Inan","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0736-4679(03)00042-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/annhyg\/mem035"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1097\/TA.0b013e31829246c7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.46.3.559"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1097\/SHK.0000000000000077"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCHEARTFAILURE.117.004313"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2020.3014040"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3068619"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2016.2600945"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2856700"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JTEHM.2024.3368291"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2783758"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s130911289"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3273989"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.921150"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2988097"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414060"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2023.3285241"},{"key":"ref19","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Song","year":"2021"},{"key":"ref20","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33,","author":"Ho","year":"2020"},{"key":"ref21","article-title":"Diffusion-GAN: Training GANs with diffusion","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wang","year":"2023"},{"key":"ref22","article-title":"Adversarially learned inference","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dumoulin","year":"2017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3392532"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3615834.3615847"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3237712"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3563949"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering11080743"},{"issue":"2","key":"ref28","article-title":"Time-frequency distribution of seismocardiographic signals: A comparative study","volume-title":"Bioengineering","volume":"4","author":"Taebi","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1017\/9781108186735"},{"key":"ref30","first-page":"14429","article-title":"Maximum likelihood training for score-based diffusion odes by high order denoising score matching","volume-title":"Proc. 39th Int. Conf. Mach. Learn.","author":"Lu","year":"2022"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4149(82)90051-5"},{"key":"ref32","article-title":"Generative modeling by estimating gradients of the data distribution","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Song","year":"2019"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3324931"},{"issue":"8","key":"ref34","first-page":"783","article-title":"The six-minute walk test","volume":"48","author":"Enright","year":"2003","journal-title":"Respir. Care"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/BSN58485.2023.10331306"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CSCITA47329.2020.9137813"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref38","first-page":"864","article-title":"PixelSNAIL: An improved autoregressive generative model","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Chen","year":"2018"},{"key":"ref39","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vaswani","year":"2017"},{"key":"ref40","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2014"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2021.3090376"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7591695"},{"key":"ref43","article-title":"Tackling the generative learning trilemma with denoising diffusion GANs","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xiao","year":"2022"},{"key":"ref44","article-title":"LightM-UNet: Mamba assists in lightweight UNet for medical image segmentation","author":"Liao","year":"2024"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering10060712"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2022.3147066"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abb1708"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/11231104\/11027314.pdf?arnumber=11027314","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T18:11:42Z","timestamp":1762539102000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11027314\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":47,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2025.3576385","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11]]}}}