{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T12:12:22Z","timestamp":1775477542692,"version":"3.50.1"},"reference-count":38,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,7,7]],"date-time":"2023-07-07T00:00:00Z","timestamp":1688688000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Spanish Research State Agency","award":["PID2019-111023RB-C32"],"award-info":[{"award-number":["PID2019-111023RB-C32"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biosensors"],"abstract":"<jats:p>The heart rate (HR) is a widely used clinical variable that provides important information on a physical user\u2019s state. One of the most commonly used methods for ambulatory HR monitoring is photoplethysmography (PPG). The PPG signal retrieved from wearable devices positioned on the user\u2019s wrist can be corrupted when the user is performing tasks involving the motion of the arms, wrist, and fingers. In these cases, the obtained HR is altered as well. This problem increases when trying to monitor people with autism spectrum disorder (ASD), who are very reluctant to use foreign bodies, notably hindering the adequate attachment of the device to the user. This work presents a machine learning approach to reconstruct the user\u2019s HR signal using an own monitoring wristband especially developed for people with ASD. An experiment is carried out, with users performing different daily life activities in order to build a dataset with the measured signals from the monitoring wristband. From these data, an algorithm is applied to obtain a reliable HR value when these people are performing skill improvement activities where intensive wrist movement may corrupt the PPG.<\/jats:p>","DOI":"10.3390\/bios13070718","type":"journal-article","created":{"date-parts":[[2023,7,10]],"date-time":"2023-07-10T01:02:50Z","timestamp":1688950970000},"page":"718","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["An ML-Based Approach to Reconstruct Heart Rate from PPG in Presence of Motion Artifacts"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7902-1979","authenticated-orcid":false,"given":"Jos\u00e9 Mar\u00eda","family":"Vicente-Samper","sequence":"first","affiliation":[{"name":"Neuroengineering Biomedical Group, Institute of Bioengineering, Miguel Hern\u00e1ndez University of Elche, 03202 Elche, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6238-2241","authenticated-orcid":false,"given":"Christian","family":"Tamantini","sequence":"additional","affiliation":[{"name":"Unit of Advanced Robotics and Human-Centred Technologies, Department of Engineering, Universit\u00e0 Campus Bio-Medico di Roma, 00128 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2856-5367","authenticated-orcid":false,"given":"Ernesto","family":"\u00c1vila-Navarro","sequence":"additional","affiliation":[{"name":"Department of Materials Science, Optics and Electronic Technology, Miguel Hern\u00e1ndez University of Elche, 03202 Elche, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7017-2225","authenticated-orcid":false,"given":"Miguel \u00c1ngel","family":"De La Casa-Lillo","sequence":"additional","affiliation":[{"name":"Institute of Bioengineering, Miguel Hern\u00e1ndez University of Elche, 03202 Elche, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8015-010X","authenticated-orcid":false,"given":"Loredana","family":"Zollo","sequence":"additional","affiliation":[{"name":"Unit of Advanced Robotics and Human-Centred Technologies, Department of Engineering, Universit\u00e0 Campus Bio-Medico di Roma, 00128 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3890-6225","authenticated-orcid":false,"given":"Jos\u00e9 Mar\u00eda","family":"Sabater-Navarro","sequence":"additional","affiliation":[{"name":"Neuroengineering Biomedical Group, Institute of Bioengineering, Miguel Hern\u00e1ndez University of Elche, 03202 Elche, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6946-0377","authenticated-orcid":false,"given":"Francesca","family":"Cordella","sequence":"additional","affiliation":[{"name":"Unit of Advanced Robotics and Human-Centred Technologies, Department of Engineering, Universit\u00e0 Campus Bio-Medico di Roma, 00128 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1111\/j.1469-7793.2000.t01-1-00263.x","article-title":"The influence of heart rate on augmentation index and central arterial pressure in humans","volume":"525","author":"Wilkinson","year":"2000","journal-title":"J. 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