{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T15:48:40Z","timestamp":1788623320245,"version":"build-2803163510"},"reference-count":27,"publisher":"IOP Publishing","issue":"3","license":[{"start":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T00:00:00Z","timestamp":1710979200000},"content-version":"vor","delay-in-days":20,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T00:00:00Z","timestamp":1710979200000},"content-version":"tdm","delay-in-days":20,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Physiol. Meas."],"published-print":{"date-parts":[[2024,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective<\/jats:italic>\n                    . Unobtrusive long-term monitoring of cardiac parameters is important in a wide variety of clinical applications, such as the assesment of acute illness severity and unobtrusive sleep monitoring. Here we determined the accuracy and robustness of heartbeat detection by an accelerometer worn on the chest.\n                    <jats:italic>Approach<\/jats:italic>\n                    . We performed overnight recordings in 147 individuals (69 female, 78 male) referred to two sleep centers. Two methods for heartbeat detection in the acceleration signal were compared: one previously described approach, based on local periodicity, and a novel extended method incorporating maximum\n                    <jats:italic>a<\/jats:italic>\n                    <jats:italic>posteriori<\/jats:italic>\n                    estimation and a Markov decision process to approach an optimal solution.\n                    <jats:italic>Main results<\/jats:italic>\n                    . The maximum\n                    <jats:italic>a<\/jats:italic>\n                    <jats:italic>posteriori<\/jats:italic>\n                    estimation significantly improved performance, with a mean absolute error for the estimation of inter-beat intervals of only 3.5 ms, and 95% limits of agreement of \u22121.7 to +1.0 beats per minute for heartrate measurement. Performance held during posture changes and was only weakly affected by the presence of sleep disorders and demographic factors.\n                    <jats:italic>Significance<\/jats:italic>\n                    . The new method may enable the use of a chest-worn accelerometer in a variety of applications such as ambulatory sleep staging and in-patient monitoring.\n                  <\/jats:p>","DOI":"10.1088\/1361-6579\/ad2f5e","type":"journal-article","created":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T17:24:20Z","timestamp":1709400260000},"page":"035009","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Maximum a posteriori detection of heartbeats from a chest-worn accelerometer"],"prefix":"10.1088","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8018-6807","authenticated-orcid":false,"given":"Fons","family":"Schipper","sequence":"first","affiliation":[{"name":"Eindhoven University of Technology"},{"name":"Philips Research, Philips, Eindhoven,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2845-0495","authenticated-orcid":false,"given":"Ruud J G","family":"van Sloun","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology"},{"name":"Philips Research, Philips, Eindhoven,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9955-5780","authenticated-orcid":false,"given":"Angela","family":"Grassi","sequence":"additional","affiliation":[{"name":"Philips Research, Philips, Eindhoven,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5229-6360","authenticated-orcid":false,"given":"Jan","family":"Brouwer","sequence":"additional","affiliation":[{"name":"Philips Research, Philips, Eindhoven,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5486-9663","authenticated-orcid":false,"given":"Fokke","family":"van Meulen","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology"},{"name":"Kempenhaeghe Center for Sleep Medicine, Heeze,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6445-9836","authenticated-orcid":false,"given":"Sebastiaan","family":"Overeem","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology"},{"name":"Kempenhaeghe Center for Sleep Medicine, Heeze,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2932-6402","authenticated-orcid":false,"given":"Pedro","family":"Fonseca","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology"},{"name":"Philips Research, Philips, Eindhoven,"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2024,3,21]]},"reference":[{"key":"pmeaad2f5ebib1","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/0002-9149(59)90246-2","type":"journal-article","article-title":"New method for analyzing heart vibrations","volume":"4","author":"Agress","year":"1959","journal-title":"Am. J. Cardiol."},{"key":"pmeaad2f5ebib2","first-page":"1","type":"journal-article","article-title":"Cardiac monitors, heart rate meters, and alarms","author":"Association for the Advancement of Medical Instrumentation","year":"2002","journal-title":"Am. Natl. Stand. ANSIAAMI EC13 2002 Arlingt. VA"},{"key":"pmeaad2f5ebib3","doi-asserted-by":"publisher","first-page":"1343","DOI":"10.5664\/jcsm.9192","type":"journal-article","article-title":"Estimating sleep stages using cardiorespiratory signals: validation of a novel algorithm across a wide range of sleep-disordered breathing severity","volume":"17","author":"Bakker","year":"2021","journal-title":"J. Clin. Sleep Med. JCSM Off. Publ. Am. Acad. Sleep Med."},{"key":"pmeaad2f5ebib4","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1073\/pnas.38.8.716","type":"journal-article","article-title":"On the theory of dynamic programming","volume":"38","author":"Bellman","year":"1952","journal-title":"Proc. Natl. Acad. Sci. 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Eng. Technol."},{"key":"pmeaad2f5ebib16","doi-asserted-by":"crossref","first-page":"1701","DOI":"10.1109\/TBME.2016.2616382","type":"journal-article","article-title":"Automatic and robust delineation of the fiducial points of the seismocardiogram signal for noninvasive estimation of cardiac time intervals","volume":"64","author":"Khosrow-Khavar","year":"2017","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"pmeaad2f5ebib17","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1080\/14779072.2022.2036606","type":"journal-article","article-title":"Sleep apnea and atrial fibrillation: challenges in clinical and translational research","volume":"20","author":"Linz","year":"2022","journal-title":"Expert Rev. Cardiovasc. Ther."},{"key":"pmeaad2f5ebib18","doi-asserted-by":"publisher","first-page":"1615","DOI":"10.3390\/s23031615","type":"journal-article","article-title":"Linear and non-linear heart rate variability indexes from heart-induced mechanical signals recorded with a skin-interfaced IMU","volume":"23","author":"Milena","year":"2023","journal-title":"Sensors"},{"key":"pmeaad2f5ebib19","doi-asserted-by":"publisher","first-page":"6200","DOI":"10.3390\/s23136200","type":"journal-article","article-title":"Heartbeat detection in gyrocardiography signals without concurrent ECG tracings","volume":"23","author":"Parlato","year":"2023","journal-title":"Sensors"},{"key":"pmeaad2f5ebib20","doi-asserted-by":"publisher","first-page":"2243","DOI":"10.3390\/math9182243","type":"journal-article","article-title":"A comprehensive review on seismocardiogram: current advancements on acquisition, annotation, and applications","volume":"9","author":"Rai","year":"2021","journal-title":"Mathematics"},{"key":"pmeaad2f5ebib21","article-title":"National Early Warning Score (NEWS) 2","author":"Royal College of Physicians","year":"2017","type":"other"},{"key":"pmeaad2f5ebib22","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/abf01f","type":"journal-article","article-title":"Estimation of respiratory rate and effort from a chest-worn accelerometer using constrained and recursive principal component analysis","volume":"42","author":"Schipper","year":"2021","journal-title":"Physiol. 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Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd","name":"copyright_information","label":"Copyright Information"},{"value":"2023-10-21","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-03-01","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-03-21","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}