{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T10:30:08Z","timestamp":1792146608018,"version":"4.4.0"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Clin Monit Comput"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s10877-020-00642-4","type":"journal-article","created":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T09:04:22Z","timestamp":1612170262000},"page":"227-237","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Detection of arterial pressure waveform error using machine learning trained algorithms"],"prefix":"10.1007","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2975-196X","authenticated-orcid":false,"given":"Joseph","family":"Rinehart","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Nam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sophie","family":"Sha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paulette","family":"Mensah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hailey","family":"Maxwell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael-David","family":"Calderon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandre","family":"Joosten","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,2,1]]},"reference":[{"key":"642_CR1","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1093\/bja\/aet429","volume":"112","author":"C Slagt","year":"2014","unstructured":"Slagt C, Malagon I, Groeneveld AB. Systematic review of uncalibrated arterial pressure waveform analysis to determine cardiac output and stroke volume variation. Br J Anaesth. 2014;112:626\u201337.","journal-title":"Br J Anaesth"},{"key":"642_CR2","first-page":"487","volume":"24","author":"M Cannesson","year":"2010","unstructured":"Cannesson M. Arterial pressure variation and goal-directed fluid therapy. J CardiothoracVascAnesth. 2010;24:487\u201397.","journal-title":"J CardiothoracVascAnesth"},{"key":"642_CR3","doi-asserted-by":"publisher","first-page":"e031988","DOI":"10.1136\/bmjopen-2019-031988","volume":"9","author":"M Cannesson","year":"2019","unstructured":"Cannesson M, Hofer I, Rinehart J, Lee C, Subramaniam K, Baldi P, Dubrawski A, Pinsky MR. Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study. BMJ Open. 2019;9:e031988.","journal-title":"BMJ Open"},{"key":"642_CR4","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1097\/ALN.0000000000002300","volume":"129","author":"F Hatib","year":"2018","unstructured":"Hatib F, Jian Z, Buddi S, Lee C, Settels J, Sibert K, Rinehart J, Cannesson M. Machine-learning algorithm to predict hypotension based on high-fidelity arterial pressure waveform analysis. Anesthesiology. 2018;129:663\u201374.","journal-title":"Anesthesiology"},{"key":"642_CR5","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1016\/j.bja.2019.04.064","volume":"123","author":"A Joosten","year":"2019","unstructured":"Joosten A, Alexander B, Duranteau J, Taccone FS, Creteur J, Vincent JL, Cannesson M, Rinehart J. Feasibility of closed-loop titration of norepinephrine infusion in patients undergoing moderate- and high-risk surgery. Br J Anaesth. 2019;123:430\u20138.","journal-title":"Br J Anaesth"},{"key":"642_CR6","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1186\/s13054-015-0827-7","volume":"19","author":"J Rinehart","year":"2015","unstructured":"Rinehart J, Lilot M, Lee C, Joosten A, Huynh T, Canales C, Imagawa D, Demirjian A, Cannesson M. Closed-loop assisted versus manual goal-directed fluid therapy during high-risk abdominal surgery: a case-control study with propensity matching. Crit Care. 2015;19:94.","journal-title":"Crit Care"},{"key":"642_CR7","first-page":"429","volume":"32","author":"K Soltesz","year":"2018","unstructured":"Soltesz K, Sjoberg T, Jansson T, Johansson R, Robertsson A, Paskevicius A, Liao Q, Qin G, Steen S. Closed-loop regulation of arterial pressure after acute brain death. J ClinMonitComput. 2018;32:429\u201337.","journal-title":"J ClinMonitComput"},{"key":"642_CR8","doi-asserted-by":"publisher","DOI":"10.1213\/ANE.0000000000001974","author":"WD NganKee","year":"2017","unstructured":"NganKee WD, Tam YH, Khaw KS, Ng FF, Lee SW. Closed-loop feedback computer-controlled phenylephrine for maintenance of blood pressure during spinal anesthesia for cesarean delivery: a randomized trial comparing automated boluses versus infusion. AnesthAnalg. 2017. https:\/\/doi.org\/10.1213\/ANE.0000000000001974.","journal-title":"AnesthAnalg"},{"key":"642_CR9","first-page":"110","volume":"125","author":"NR Marques","year":"2017","unstructured":"Marques NR, Whitehead WE, Kallu UR, Kinsky MP, Funston JS, Wassar T, Khan MN, Milosch M, Jupiter D, Grigoriadis K, Kramer GC. Physician-directed versus computerized closed-loop control of blood pressure using phenylephrine in a swine model. AnesthAnalg. 2017;125:110\u20136.","journal-title":"AnesthAnalg"},{"key":"642_CR10","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/0378-3782(94)90030-2","volume":"36","author":"S Cunningham","year":"1994","unstructured":"Cunningham S, Symon AG, McIntosh N. Changes in mean blood pressure caused by damping of the arterial pressure waveform. Early Hum Dev. 1994;36:27\u201330.","journal-title":"Early Hum Dev"},{"key":"642_CR11","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1097\/00006199-198411000-00008","volume":"33","author":"KT Kirchhoff","year":"1984","unstructured":"Kirchhoff KT, Rebenson-Piano M, Patel MK. Mean arterial pressure readings: variations with positions and transducer level. Nurs Res. 1984;33:343\u20135.","journal-title":"Nurs Res"},{"key":"642_CR12","volume-title":"Spectral audio signal processing","author":"J Smith","year":"2011","unstructured":"Smith J. Low-pass filtering by FFT convolution. In: Spectral audio signal processing. Stanford: W3K Publishing; 2011."},{"key":"642_CR13","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, Vanderplas J, Passos A, Cournapeau D, Brucher M, Perrot M, Duchesnay E. Scikit-learn: machine learning in python. J Mach Learn Res. 2011;12:2825\u201330.","journal-title":"J Mach Learn Res"},{"key":"642_CR14","doi-asserted-by":"publisher","first-page":"e0118432","DOI":"10.1371\/journal.pone.0118432","volume":"10","author":"T Saito","year":"2015","unstructured":"Saito T, Rehmsmeier M. The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets. PLoS ONE. 2015;10:e0118432.","journal-title":"PLoS ONE"},{"key":"642_CR15","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1186\/1471-2105-12-77","volume":"12","author":"X Robin","year":"2011","unstructured":"Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez JC, Muller M. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinform. 2011;12:77.","journal-title":"BMC Bioinform"}],"container-title":["Journal of Clinical Monitoring and Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10877-020-00642-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10877-020-00642-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10877-020-00642-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T21:55:40Z","timestamp":1693518940000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10877-020-00642-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,1]]},"references-count":15,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["642"],"URL":"https:\/\/doi.org\/10.1007\/s10877-020-00642-4","relation":{},"ISSN":["1387-1307","1573-2614"],"issn-type":[{"value":"1387-1307","type":"print"},{"value":"1573-2614","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,1]]},"assertion":[{"value":"30 June 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 December 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 February 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"JR: Consultant for Edwards Lifesciences; Ownership in Sironis Inc & Perceptive Medical Inc. AJ: Consultant for Edwards Lifesciences. All other authors declare they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This study was approved by the Institutional Review Board of the University of California Irvine (protocol HS# 2019-5251).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"All subjects in the present study provided written informed consent.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}