{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,11]],"date-time":"2026-11-11T09:21:49Z","timestamp":1794388909928,"version":"4.9.0"},"reference-count":30,"publisher":"IOP Publishing","issue":"4","license":[{"start":{"date-parts":[[2023,4,12]],"date-time":"2023-04-12T00:00:00Z","timestamp":1681257600000},"content-version":"vor","delay-in-days":11,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2023,4,12]],"date-time":"2023-04-12T00:00:00Z","timestamp":1681257600000},"content-version":"tdm","delay-in-days":11,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"HealthUp S.A."}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Physiol. Meas."],"published-print":{"date-parts":[[2023,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective.<\/jats:italic>\n                    Most current algorithms for detecting atrial fibrillation (AF) rely on heart rate variability (HRV), and only a few studies analyse the variability of photopletysmography (PPG) waveform. This study aimed to compare morphological features of the PPG curve in patients with AF to those presenting a normal sinus rhythm (NSR) and evaluate their usefulness in AF detection.\n                    <jats:italic>Approach.<\/jats:italic>\n                    10 min PPG signals were obtained from patients with persistent\/paroxysmal AF and NSR. Nine morphological parameters (1\/\u0394\n                    <jats:italic>T<\/jats:italic>\n                    ), Pulse Width [PW], augmentation index [AI], b\/a, e\/a, [b-e]\/a, crest time [CT], inflection point area [IPA], Area and five HRV parameters (heart rate [HR], Shannon entropy [ShE], root mean square of the successive differences [RMSSD], number of pairs of consecutive systolic peaks [\n                    <jats:italic>R<\/jats:italic>\n                    \u2013\n                    <jats:italic>R<\/jats:italic>\n                    ] that differ by more than 50 ms [NN50], standard deviation of the\n                    <jats:italic>R<\/jats:italic>\n                    \u2013\n                    <jats:italic>R<\/jats:italic>\n                    intervals [SDNN]) were calculated.\n                    <jats:italic>Main results.<\/jats:italic>\n                    Eighty subjects, including 33 with AF and 47 with NSR were recruited. In univariate analysis five morphological features (1\/\u0394\n                    <jats:italic>T<\/jats:italic>\n                    ,\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001; b\/a,\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001; [b-e]\/a,\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001; CT,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.011 and Area,\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001) and all HRV parameters (\n                    <jats:italic>p<\/jats:italic>\n                    = 0.01 for HR and\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001 for others) were significantly different between the study groups. In the stepwise multivariate model (Area under the curve [AUC] = 0.988 [0.974\u20131.000]), three morphological parameters (PW,\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001; e\/a,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.011; (b-e)\/a,\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001) and three of HRV parameters (ShE,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.01; NN50,\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.001, HR,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.01) were significant.\n                    <jats:italic>Significance.<\/jats:italic>\n                    There are significant differences between AF and NSR, PPG waveform, which are useful in AF detection algorithm. Moreover adding those features to HRV-based algorithms may improve their specificity and sensitivity.\n                  <\/jats:p>","DOI":"10.1088\/1361-6579\/acc725","type":"journal-article","created":{"date-parts":[[2023,3,23]],"date-time":"2023-03-23T18:45:01Z","timestamp":1679597101000},"page":"045001","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Photoplethysmography wave morphology in patients with atrial fibrillation"],"prefix":"10.1088","volume":"44","author":[{"given":"Miko\u0142aj","family":"Basza","sequence":"first","affiliation":[{"name":"Medical University of Silesia in Katowice"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9359-4527","authenticated-orcid":true,"given":"Damian","family":"Wal\u0105g","sequence":"additional","affiliation":[{"name":"Warsaw University of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weronika","family":"Kowalczyk","sequence":"additional","affiliation":[{"name":"Medical University of Warsaw"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aleksandra","family":"Bo\u017cym","sequence":"additional","affiliation":[{"name":"Medical University of Warsaw"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michalina","family":"Ciurla","sequence":"additional","affiliation":[{"name":"Medical University of Warsaw"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ma\u0142gorzata","family":"Krzy\u017canowska","sequence":"additional","affiliation":[{"name":"Medical University of Warsaw"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cezary","family":"Maciejewski","sequence":"additional","affiliation":[{"name":"Medical University of Warsaw"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2156-2494","authenticated-orcid":true,"given":"Wojciech","family":"Bojanowicz","sequence":"additional","affiliation":[{"name":"Medical University of Silesia in Katowice"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6461-1738","authenticated-orcid":true,"given":"Mateusz","family":"Soli\u0144ski","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences & Medicine, King\u2019s College London, Strand, London WC2R 2LS,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u0141ukasz","family":"Ko\u0142towski","sequence":"additional","affiliation":[{"name":"Medical University of Warsaw"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2023,4,12]]},"reference":[{"key":"pmeaacc725bib1","doi-asserted-by":"publisher","first-page":"980","DOI":"10.1111\/j.1540-8159.1995.tb04738.x","type":"journal-article","article-title":"Hemodynamics of idiopathic paroxysmal atrial fibrillation","volume":"18","author":"Alboni","year":"1995","journal-title":"Pacing and Clinical Electrophysiol.: PACE"},{"key":"pmeaacc725bib2","doi-asserted-by":"publisher","first-page":"2516","DOI":"10.1161\/CIRCULATIONAHA.108.821306","type":"journal-article","article-title":"Atrial fibrillation and heart failure: treatment considerations for a dual epidemic","volume":"119","author":"Anter","year":"2009","journal-title":"Circulation"},{"key":"pmeaacc725bib3","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.hroo.2020.02.002","type":"journal-article","article-title":"Atrial fibrillation detection from raw photoplethysmography waveforms: a deep learning application","volume":"1","author":"Aschbacher","year":"2020","journal-title":"Heart Rhythm O2"},{"key":"pmeaacc725bib4","doi-asserted-by":"crossref","DOI":"10.1109\/ITAB.2007.4407346","type":"conference-proceedings","article-title":"Second derivative of photoplethysmography for estimating vascular aging","author":"Baek","year":"2007"},{"key":"pmeaacc725bib5","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1093\/ehjqcco\/qcw031","type":"journal-article","article-title":"Characteristics and outcomes of atrial fibrillation patients with or without specific symptoms: results from the PREFER in AF registry","volume":"2","author":"Bakhai","year":"2016","journal-title":"Eur. 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