{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T18:02:47Z","timestamp":1777312967893,"version":"3.51.4"},"reference-count":46,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T00:00:00Z","timestamp":1641859200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003407","name":"Ministry of Education, Universities and Research","doi-asserted-by":"publisher","award":["Department of Excellence \"ICT for Health\""],"award-info":[{"award-number":["Department of Excellence \"ICT for Health\""]}],"id":[{"id":"10.13039\/501100003407","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This work addresses the design, development and implementation of a 4.0-based wearable soft transducer for patient-centered vitals telemonitoring. In particular, first, the soft transducer measures hypertension-related vitals (heart rate, oxygen saturation and systolic\/diastolic pressure) and sends the data to a remote database (which can be easily consulted both by the patient and the physician). In addition to this, a dedicated deep learning algorithm, based on a Long-Short-Term-Memory Autoencoder, was designed, implemented and tested for providing an alert when the patient\u2019s vitals exceed certain thresholds, which are automatically personalized for the specific patient. Furthermore, a mobile application (EcO2u) was developed to manage the entire data flow and facilitate the data fruition; this application also implements an innovative face-detection algorithm that ensures the identity of the patient. The robustness of the proposed soft transducer was validated experimentally on five individuals, who used the system for 30 days. The experimental results demonstrated an accuracy in anomaly detection greater than 93%, with a true positive rate of more than 94%.<\/jats:p>","DOI":"10.3390\/s22020536","type":"journal-article","created":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T20:33:04Z","timestamp":1641933184000},"page":"536","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Soft Transducer for Patient\u2019s Vitals Telemonitoring with Deep Learning-Based Personalized Anomaly Detection"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5192-5922","authenticated-orcid":false,"given":"Pasquale","family":"Arpaia","sequence":"first","affiliation":[{"name":"Interdepartmental Research Center in Health Management and Innovation in Healthcare (CIRMIS), University of Naples Federico II, 80125 Naples, Italy"},{"name":"Department of Information Technology and Electrical Engineering (DIETI), University of Naples Federico II, 80125 Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Federica","family":"Crauso","sequence":"additional","affiliation":[{"name":"Department of Public Health, University of Naples Federico II, 80125 Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2792-2131","authenticated-orcid":false,"given":"Egidio","family":"De Benedetto","sequence":"additional","affiliation":[{"name":"Department of Information Technology and Electrical Engineering (DIETI), University of Naples Federico II, 80125 Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1356-5559","authenticated-orcid":false,"given":"Luigi","family":"Duraccio","sequence":"additional","affiliation":[{"name":"Department of Electronics and Telecommunications, Polytechnic University of Turin, 10129 Turin, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9485-1687","authenticated-orcid":false,"given":"Giovanni","family":"Improta","sequence":"additional","affiliation":[{"name":"Department of Public Health, University of Naples Federico II, 80125 Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0887-3781","authenticated-orcid":false,"given":"Francesco","family":"Serino","sequence":"additional","affiliation":[{"name":"NexusTLC SRLS, 80010 Quarto, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Veenis, J.F., Radhoe, S.P., Hooijmans, P., and Brugts, J.J. 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