{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T20:02:01Z","timestamp":1785009721857,"version":"3.55.0"},"reference-count":29,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T00:00:00Z","timestamp":1784678400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100024850","name":"Centro de Ingenier\u00eda y Desarrollo Industrial","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100024850","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Biomedical Signal Processing and Control"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.bspc.2026.111110","type":"journal-article","created":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T07:00:35Z","timestamp":1784876435000},"page":"111110","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PA","title":["Automatic detection of frontal ECG lead interchange using inter-lead correlation analysis in a 12-lead vital signs monitoring system"],"prefix":"10.1016","volume":"127","author":[{"given":"Francisco D.","family":"P\u00e9rez Reynoso","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paola A.","family":"Ni\u00f1o Su\u00e1rez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiram A.","family":"Hern\u00e1ndez Rivera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jorge A.","family":"Soto Cajiga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristian H.","family":"S\u00e1nchez Saqu\u00edn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.bspc.2026.111110_b0005","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.3390\/s20041089","article-title":"Vital block and vital sign server for ECG and vital sign monitoring in a portable u-vital system","volume":"20","author":"Bae","year":"2020","journal-title":"Sensors"},{"key":"10.1016\/j.bspc.2026.111110_b0010","article-title":"ECG lead misplacement: looking at common issues","author":"Handzel","year":"2023","journal-title":"GE HealthCare Insights."},{"key":"10.1016\/j.bspc.2026.111110_b0015","article-title":"ELI 380 resting electrocardiograph \u2013 operator\u2019s manual","author":"Allyn","year":"2020","journal-title":"Hillrom"},{"issue":"4","key":"10.1016\/j.bspc.2026.111110_b0020","doi-asserted-by":"crossref","DOI":"10.2196\/25347","article-title":"Reliable deep learning\u2013based detection of misplaced chest electrodes during electrocardiogram recording: algorithm development and validation","volume":"9","author":"Rjoob","year":"2021","journal-title":"JMIR Med. Inform."},{"issue":"Part B","key":"10.1016\/j.bspc.2026.111110_b0025","article-title":"Automated detection of non-physiological artifacts on ECG signal: UK biobank and CRIC","volume":"196","author":"Bukhari","year":"2025","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.bspc.2026.111110_b0030","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.jelectrocard.2020.08.013","article-title":"Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: a systematic review and meta-analysis","volume":"62","author":"Rjoob","year":"2020","journal-title":"J. Electrocardiol."},{"issue":"7","key":"10.1016\/j.bspc.2026.111110_b0035","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1016\/j.ejim.2012.03.011","article-title":"The effects of electrode misplacement on clinicians' interpretation of the standard 12-lead electrocardiogram","volume":"23","author":"Bond","year":"2012","journal-title":"Eur. J. Intern. Med."},{"issue":"4","key":"10.1016\/j.bspc.2026.111110_b0040","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/0735-6757(93)90177-D","article-title":"Recognition of electrocardiographic lead misplacements","volume":"11","author":"Peberdy","year":"1993","journal-title":"Am. J. Emerg. Med."},{"issue":"3","key":"10.1016\/j.bspc.2026.111110_b0045","first-page":"95","article-title":"Common ECG lead placement errors. Part I: limb lead reversals","volume":"2","author":"Rosen","year":"2014","journal-title":"Int. J. Med. Students"},{"key":"10.1016\/j.bspc.2026.111110_b0050","doi-asserted-by":"crossref","DOI":"10.1016\/S0002-9149(01)01686-1","article-title":"Accurate automatic detection of electrode interchange in the electrocardiogram","author":"Kors","year":"2001","journal-title":"Am. J. Cardiol."},{"issue":"11","key":"10.1016\/j.bspc.2026.111110_b0055","doi-asserted-by":"crossref","first-page":"1081","DOI":"10.1093\/europace\/eum198","article-title":"Incorrect electrode cable connection during electrocardiographic recording","volume":"9","author":"Batchvarov","year":"2007","journal-title":"Europace"},{"key":"10.1016\/j.bspc.2026.111110_b0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2025.117067","article-title":"Opportunities and challenges of noise interference suppression algorithms for dynamic ECG signals in wearable devices: a review","volume":"250","author":"Zhang","year":"2025","journal-title":"Measurement"},{"issue":"3 Pt 1","key":"10.1016\/j.bspc.2026.111110_b0065","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1111\/j.1540-8159.1985.tb05772.x","article-title":"Electrocardiographic patterns resulting from improper connections of the right leg (ground) cable","volume":"8","author":"Castellanos","year":"1985","journal-title":"Pacing Clin. Electrophysiol."},{"issue":"2","key":"10.1016\/j.bspc.2026.111110_b0070","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1054\/jelc.2001.23927","article-title":"Use of the sinus P wave in diagnosing electrocardiographic limb lead misplacement not involving the right leg (ground) lead","volume":"34","author":"Ho","year":"2001","journal-title":"J. Electrocardiol."},{"key":"10.1016\/j.bspc.2026.111110_b0075","first-page":"225","article-title":"Misplacement of the left foot ECG electrode detected by artificial neural networks","author":"Hed\u00e9n","year":"1995","journal-title":"Comput. Cardiol."},{"key":"10.1016\/j.bspc.2026.111110_b0080","unstructured":"U.S. Food and Drug Administration, Health Canada, Medicines and Healthcare products Regulatory Agency. Good Machine Learning Practice for Medical Device Development: Guiding Principles. 2021. Available at: https:\/\/www.fda.gov\/medical-devices\/software-medical-device-samd\/good-machine-learning-practice-medical-device-development-guiding-principles, accessed on 28 April 2025."},{"issue":"14","key":"10.1016\/j.bspc.2026.111110_b0085","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1016\/S0002-9149(99)80689-4","article-title":"Artificial neural networks for recognition of electrocardiographic lead reversal","volume":"75","author":"Hed\u00e9n","year":"1995","journal-title":"Am. J. Cardiol."},{"issue":"5","key":"10.1016\/j.bspc.2026.111110_b0090","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1016\/S0002-9149(96)00377-3","article-title":"Detection of frequently overlooked electrocardiographic lead reversals using artificial neural networks","volume":"78","author":"Hed\u00e9n","year":"1996","journal-title":"Am. J. Cardiol."},{"key":"10.1016\/j.bspc.2026.111110_b0095","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1054\/jelc.2000.20352","article-title":"A novel method to detect electrocardiographic electrode interchanges","volume":"33","author":"Kors","year":"2000","journal-title":"J. Electrocardiol."},{"issue":"4","key":"10.1016\/j.bspc.2026.111110_b0100","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/S0002-9149(01)01686-1","article-title":"Accurate automatic detection of electrode interchange in the electrocardiogram","volume":"88","author":"Kors","year":"2001","journal-title":"Am. J. Cardiol."},{"key":"10.1016\/j.bspc.2026.111110_b0105","first-page":"145","article-title":"Automatic detection of ECG lead-wire interchange for conventional and mason-likar lead systems","volume":"2014","author":"Han","year":"2014","journal-title":"Comput. Cardiol."},{"key":"10.1016\/j.bspc.2026.111110_b0110","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.jelectrocard.2019.08.017","article-title":"Data driven feature selection and machine learning to detect misplaced V1 and V2 chest electrodes when recording the 12-lead electrocardiogram","volume":"57","author":"Rjoob","year":"2019","journal-title":"J. Electrocardiol."},{"key":"10.1016\/j.bspc.2026.111110_b0115","doi-asserted-by":"crossref","unstructured":"K. Rjoob, R. Bond, Machine learning improves the detection of misplaced V1 and V2 electrodes during 12-lead electrocardiogram acquisition, in: Computing in Cardiology 2019, 2019.","DOI":"10.22489\/CinC.2019.035"},{"key":"10.1016\/j.bspc.2026.111110_b0120","unstructured":"I. Jekova, Recognition of diagnostically useful ECG recordings: alert for corrupted or interchanged leads, in: Computing in Cardiology 2011, 2011, pp. 429\u2013432."},{"key":"10.1016\/j.bspc.2026.111110_b0125","unstructured":"I. Jekova, Detection of electrode interchange in precordial and orthogonal ECG leads, in: Computing in Cardiology 2013, 2013, pp. 519\u2013522."},{"key":"10.1016\/j.bspc.2026.111110_b0130","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.cmpb.2016.06.003","article-title":"Inter-lead correlation analysis for automated detection of cable reversals in 12\/16-lead ECG","volume":"134","author":"Jekova","year":"2016","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.bspc.2026.111110_b0135","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1016\/j.jelectrocard.2014.08.006","article-title":"Automatic detection of ECG cable interchange by analyzing both morphology and interlead relations","volume":"47","author":"Han","year":"2014","journal-title":"J. Electrocardiol."},{"issue":"8","key":"10.1016\/j.bspc.2026.111110_b0140","doi-asserted-by":"crossref","first-page":"529","DOI":"10.7326\/0003-4819-155-8-201110180-00009","article-title":"QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies","volume":"155","author":"Whiting","year":"2011","journal-title":"Ann. Intern. Med."},{"key":"10.1016\/j.bspc.2026.111110_b0145","doi-asserted-by":"crossref","first-page":"4767","DOI":"10.3390\/s24154767","article-title":"A review of patient bed sensors for monitoring of vital signs","volume":"24","author":"Recmanik","year":"2024","journal-title":"Sensors"}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426016642?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426016642?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T19:33:58Z","timestamp":1785008038000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809426016642"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":29,"alternative-id":["S1746809426016642"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2026.111110","relation":{},"ISSN":["1746-8094"],"issn-type":[{"value":"1746-8094","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Automatic detection of frontal ECG lead interchange using inter-lead correlation analysis in a 12-lead vital signs monitoring system","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2026.111110","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"111110"}}