{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T18:31:57Z","timestamp":1789583517695,"version":"build-2803163510"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100023561","name":"Ministerio de Universidades","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100023561","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014440","name":"Espana Ministerio de Ciencia e Innovacion","doi-asserted-by":"publisher","award":["PID2022-136668OA-I00"],"award-info":[{"award-number":["PID2022-136668OA-I00"]}],"id":[{"id":"10.13039\/100014440","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["MCIN\/AEI\/10.13039\/501100011033"],"award-info":[{"award-number":["MCIN\/AEI\/10.13039\/501100011033"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Methods and Programs in Biomedicine"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1016\/j.cmpb.2023.107982","type":"journal-article","created":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T19:36:20Z","timestamp":1702928180000},"page":"107982","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":10,"special_numbering":"C","title":["A data-driven computational methodology towards a pre-hospital Acute Ischaemic Stroke screening tool using haemodynamics waveforms"],"prefix":"10.1016","volume":"244","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1865-681X","authenticated-orcid":false,"given":"Ahmet","family":"Sen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8788-8027","authenticated-orcid":false,"given":"Laurent","family":"Navarro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8604-7736","authenticated-orcid":false,"given":"Stephane","family":"Avril","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1798-7908","authenticated-orcid":false,"given":"Miquel","family":"Aguirre","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9859","key":"10.1016\/j.cmpb.2023.107982_br0010","doi-asserted-by":"crossref","first-page":"2095","DOI":"10.1016\/S0140-6736(12)61728-0","article-title":"Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010","volume":"380","author":"Lozano","year":"2012","journal-title":"Lancet"},{"key":"10.1016\/j.cmpb.2023.107982_br0020","doi-asserted-by":"crossref","first-page":"2","DOI":"10.5853\/jos.2013.15.1.2","article-title":"Stroke statistics in Korea: part I. Epidemiology and risk factors: a report from the Korean stroke society and clinical research center for stroke","volume":"15","author":"Hong","year":"2013","journal-title":"J. Stroke"},{"issue":"2","key":"10.1016\/j.cmpb.2023.107982_br0030","first-page":"268","article-title":"Update on treatment of acute ischemic stroke, continuum: lifelong learning in","volume":"26","author":"Rabinstein","year":"2020","journal-title":"Neurology"},{"issue":"5","key":"10.1016\/j.cmpb.2023.107982_br0040","first-page":"333","article-title":"Management of acute ischemic stroke: time is brain","volume":"107","author":"Rymer","year":"2010","journal-title":"Mo. Med."},{"key":"10.1016\/j.cmpb.2023.107982_br0050","doi-asserted-by":"crossref","first-page":"2558","DOI":"10.1007\/s42399-021-01069-x","article-title":"Optimising prehospital pathways to improve acute stroke reperfusion therapy delivery: systems-based approaches","volume":"3","author":"Chowdhury","year":"2021","journal-title":"SN Compr. Clin. Med."},{"key":"10.1016\/j.cmpb.2023.107982_br0060","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1161\/STROKEAHA.116.015511","article-title":"Prehospital scales for large vessel occlusion: closing in on a moving target","volume":"48","author":"Michel","year":"2017","journal-title":"Stroke"},{"key":"10.1016\/j.cmpb.2023.107982_br0070","author":"Nicholls"},{"key":"10.1016\/j.cmpb.2023.107982_br0080","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0228642","article-title":"Toward automated classification of pathological transcranial Doppler waveform morphology via spectral clustering","volume":"15","author":"Thorpe","year":"2020","journal-title":"PLoS ONE"},{"key":"10.1016\/j.cmpb.2023.107982_br0090","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1007\/s10439-022-02956-7","article-title":"Determining clinically-viable biomarkers for ischaemic stroke through a mechanistic and machine learning approach","volume":"50","author":"Benemerito","year":"2022","journal-title":"Ann. Biomed. Eng."},{"key":"10.1016\/j.cmpb.2023.107982_br0100","doi-asserted-by":"crossref","first-page":"2097","DOI":"10.1007\/s10237-021-01497-7","article-title":"Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database","volume":"20","author":"Jones","year":"2021","journal-title":"Biomech. Model. Mechanobiol."},{"issue":"6","key":"10.1016\/j.cmpb.2023.107982_br0110","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1007\/s10439-015-1313-8","article-title":"One-dimensional haemodynamic modeling and wave dynamics in the entire adult circulation","volume":"43","author":"Mynard","year":"2015","journal-title":"Ann. Biomed. Eng."},{"key":"10.1016\/j.cmpb.2023.107982_br0120","series-title":"11th International Conference on Pressure Surges, Virtual PiE Led t\/a BHR Group","first-page":"401","article-title":"Arterial pulse wave haemodynamics","author":"Alastruey","year":"2012"},{"key":"10.1016\/j.cmpb.2023.107982_br0130","doi-asserted-by":"crossref","first-page":"1794","DOI":"10.1016\/j.jbiomech.2006.07.008","article-title":"Modeling the circle of Willis to assess the effects of anatomical variations and occlusions on cerebral flows","volume":"40","author":"Alastruey","year":"2007","journal-title":"J. Biomech."},{"key":"10.1016\/j.cmpb.2023.107982_br0140","article-title":"Review of the anatomy of the distal anterior cerebral artery and its anomalies","volume":"26","author":"Cilliers","year":"2015","journal-title":"Turk. Neurosurg."},{"issue":"5","key":"10.1016\/j.cmpb.2023.107982_br0150","first-page":"671","article-title":"Anatomy of the middle cerebral artery: cortical branches, branching pattern and anomalies","volume":"27","author":"Cilliers","year":"2017","journal-title":"Turk. Neurosurg."},{"issue":"3","key":"10.1016\/j.cmpb.2023.107982_br0160","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1161\/01.STR.4.3.412","article-title":"Anatomy of the middle cerebral artery: the temporal branches","volume":"4","author":"De Long","year":"1973","journal-title":"Stroke"},{"key":"10.1016\/j.cmpb.2023.107982_br0170","article-title":"Variation and anomalies of the posterior cerebral artery: review and pilot study","volume":"29","author":"Cilliers","year":"2017","journal-title":"Turk. Neurosurg."},{"issue":"5","key":"10.1016\/j.cmpb.2023.107982_br0180","doi-asserted-by":"crossref","first-page":"H1062","DOI":"10.1152\/ajpheart.00218.2019","article-title":"Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of haemodynamics and pulse wave indexes","volume":"317","author":"Charlton","year":"2019","journal-title":"Am. J. Physiol., Heart Circ. Physiol."},{"issue":"4","key":"10.1016\/j.cmpb.2023.107982_br0190","doi-asserted-by":"crossref","first-page":"184","DOI":"10.58397\/ashkmdc.v23i4.83","article-title":"Variation in calibre of arteries of circle of Willis with age: an MRA based study","volume":"23","author":"Brohi","year":"2018","journal-title":"Ann. Abbasi Shaheed Hosp. Karachi Med. Dent. Coll."},{"issue":"1","key":"10.1016\/j.cmpb.2023.107982_br0200","first-page":"H257","article-title":"Structured tree outflow condition for blood flow in larger systemic arteries, American journal of physiology-heart and circulatory","volume":"276","author":"Olufsen","year":"1999","journal-title":"Physiology"},{"key":"10.1016\/j.cmpb.2023.107982_br0210","doi-asserted-by":"crossref","DOI":"10.1098\/rsfs.2019.0125","article-title":"Coupling one-dimensional arterial blood flow to three-dimensional tissue perfusion models for in silico trials of acute ischaemic stroke","volume":"11","author":"Padmos","year":"2021","journal-title":"Interface Focus"},{"issue":"8","key":"10.1016\/j.cmpb.2023.107982_br0220","doi-asserted-by":"crossref","first-page":"1794","DOI":"10.1016\/j.jbiomech.2006.07.008","article-title":"Modelling the circle of Willis to assess the effects of anatomical variations and occlusions on cerebral flows","volume":"40","author":"Alastruey","year":"2007","journal-title":"J. Biomech."},{"key":"10.1016\/j.cmpb.2023.107982_br0230","series-title":"2016 6th International Conference on IT Convergence and Security (ICITCS)","first-page":"1","article-title":"An automated ECG beat classification system using convolutional neural networks","author":"Zubair","year":"2016"},{"key":"10.1016\/j.cmpb.2023.107982_br0240","series-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"10.1016\/j.cmpb.2023.107982_br0250","doi-asserted-by":"crossref","DOI":"10.1007\/s10439-013-0854-y","article-title":"A technical assessment of pulse wave velocity algorithms applied to non-invasive arterial waveforms","volume":"41","author":"Gaddum","year":"2013","journal-title":"Ann. Biomed. Eng."},{"key":"10.1016\/j.cmpb.2023.107982_br0260","doi-asserted-by":"crossref","DOI":"10.1007\/s11517-021-02424-9","article-title":"A proof of concept study for machine learning application to stenosis detection","volume":"59","author":"Jones","year":"2021","journal-title":"Med. Biol. Eng. Comput."},{"key":"10.1016\/j.cmpb.2023.107982_br0270","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.jcp.2018.02.037","article-title":"Non-intrusive reduced order modeling of nonlinear problems using neural networks","volume":"363","author":"Hesthaven","year":"2018","journal-title":"J. Comput. Phys."},{"key":"10.1016\/j.cmpb.2023.107982_br0280","author":"Ii"},{"issue":"9","key":"10.1016\/j.cmpb.2023.107982_br0290","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1011452","article-title":"Computational modeling of multiscale collateral blood supply in a whole-brain-scale arterial network","volume":"19","author":"Otani","year":"2023","journal-title":"PLoS Comput. Biol."},{"key":"10.1016\/j.cmpb.2023.107982_br0300","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2021.780324","article-title":"Emerging detection techniques for large vessel occlusion stroke: a scoping review","volume":"12","author":"Nicholls","year":"2022","journal-title":"Front. Neurol."},{"key":"10.1016\/j.cmpb.2023.107982_br0310","doi-asserted-by":"crossref","first-page":"847","DOI":"10.3389\/fneur.2018.00847","article-title":"Decision criteria for large vessel occlusion using transcranial Doppler waveform morphology","volume":"9","author":"Thorpe","year":"2018","journal-title":"Front. Neurol."},{"key":"10.1016\/j.cmpb.2023.107982_br0320","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1007\/s12975-018-0667-2","article-title":"Velocity curvature index: a novel diagnostic biomarker for large vessel occlusion","volume":"10","author":"Thorpe","year":"2019","journal-title":"Transl. Stroke Res."},{"issue":"2","key":"10.1016\/j.cmpb.2023.107982_br0330","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0228642","article-title":"Toward automated classification of pathological transcranial Doppler waveform morphology via spectral clustering","volume":"15","author":"Thorpe","year":"2020","journal-title":"PLoS ONE"},{"key":"10.1016\/j.cmpb.2023.107982_br0340","series-title":"International Conference on Machine Learning, PMLR","first-page":"7594","article-title":"Toward understanding the importance of noise in training neural networks","author":"Zhou","year":"2019"},{"key":"10.1016\/j.cmpb.2023.107982_br0350","series-title":"Posterior cerebral artery stroke","author":"Kuybu","year":"2018"}],"container-title":["Computer Methods and Programs in Biomedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S016926072300648X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S016926072300648X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T04:24:02Z","timestamp":1759206242000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S016926072300648X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":35,"alternative-id":["S016926072300648X"],"URL":"https:\/\/doi.org\/10.1016\/j.cmpb.2023.107982","relation":{},"ISSN":["0169-2607"],"issn-type":[{"value":"0169-2607","type":"print"}],"subject":[],"published":{"date-parts":[[2024,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A data-driven computational methodology towards a pre-hospital Acute Ischaemic Stroke screening tool using haemodynamics waveforms","name":"articletitle","label":"Article Title"},{"value":"Computer Methods and Programs in Biomedicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cmpb.2023.107982","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"107982"}}