{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T08:39:00Z","timestamp":1769071140023,"version":"3.49.0"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Shenzhen Science and Technology Innovation Committee funds","award":["JSGG20170413154603151"],"award-info":[{"award-number":["JSGG20170413154603151"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2933498","type":"journal-article","created":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T20:02:25Z","timestamp":1565121745000},"page":"113427-113439","source":"Crossref","is-referenced-by-count":31,"title":["Blood Pressure Estimation From Beat-by-Beat Time-Domain Features of Oscillometric Waveforms Using Deep-Neural-Network Classification Models"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8276-9774","authenticated-orcid":false,"given":"Ahmadreza","family":"Argha","sequence":"first","affiliation":[{"name":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2641-7739","authenticated-orcid":false,"given":"Ji","family":"Wu","sequence":"additional","affiliation":[{"name":"Shenzhen ET Medical Technology Company Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven W.","family":"Su","sequence":"additional","affiliation":[{"name":"Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Branko G.","family":"Celler","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","year":"2018","journal-title":"Association for the Advancement of Medical Instrumentation Non-Invasive Sphygmomanometers&#x2014;Part 2 Clinical Investigation of Automated Measurement Type ANSI\/AAMI"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1097\/00004872-199007000-00004"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7319750"},{"key":"ref35","first-page":"225","article-title":"Moving blocks jackknife and bootstrap capture weak dependence","volume":"270","author":"liu","year":"1992","journal-title":"Exploring the Limits of Bootstrap"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1161\/HYPERTENSIONAHA.117.10237"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2011.6090691"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s150614142"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jash.2015.09.011"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2013.2273612"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/BF02368225"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/MIM.2016.7579067"},{"key":"ref16","article-title":"Method for determining blood pressure utilizing a neural network","author":"baker","year":"1994"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/BF01616986"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CIMSA.2004.1397222"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIC-STH.2009.5444353"},{"key":"ref28","first-page":"153","article-title":"Greedy layer-wise training of deep networks","author":"bengio","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF02367308"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760128018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/BF02446804"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-010-0694-y"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/aa6b7e"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2015.2434215"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5430\/air.v3n2p16"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IMTC.2011.5944338"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1115\/1.3138195","article-title":"The meaning of the point of maximum oscillations in cuff pressure in the indirect measurement of blood pressure&#x2014;Part II","volume":"102","author":"mauck","year":"1980","journal-title":"J Biomech Eng"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-11-56"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CIC.2000.898494"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2011.2123210"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2015.2484278"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2612640"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2701800"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.08.005"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref25","first-page":"625","article-title":"Why does unsupervised pre-training help deep learning?","volume":"11","author":"erhan","year":"2010","journal-title":"J Mach Learn Res"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08789404.pdf?arnumber=8789404","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T21:23:59Z","timestamp":1705353839000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8789404\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2933498","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}