{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T20:21:04Z","timestamp":1783628464383,"version":"3.55.0"},"reference-count":37,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2018,6,6]],"date-time":"2018-06-06T00:00:00Z","timestamp":1528243200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Health and sociological indicators alert that life expectancy is increasing, hence so are the years that patients have to live with chronic diseases and co-morbidities. With the advancement in ICT, new tools and paradigms are been explored to provide effective and efficient health care. Telemedicine and health sensors stand as indispensable tools for promoting patient engagement, self-management of diseases and assist doctors to remotely follow up patients. In this paper, we evaluate a rapid prototyping solution for information merging based on five health sensors and two low-cost ubiquitous computing components: Arduino and Raspberry Pi. Our study, which is entirely described with the purpose of reproducibility, aimed to evaluate the extent to which portable technologies are capable of integrating wearable sensors by comparing two deployment scenarios: Raspberry Pi 3 and Personal Computer. The integration is implemented using a choreography engine to transmit data from sensors to a display unit using web services and a simple communication protocol with two modes of data retrieval. Performance of the two set-ups is compared by means of the latency in the wearable data transmission and data loss. PC has a delay of 0.051 \u00b1 0.0035 s (max = 0.2504 s), whereas the Raspberry Pi yields a delay of 0.0175 \u00b1 0.149 s (max = 0.294 s) for N = 300. Our analysis confirms that portable devices (    p &lt; &lt; 0 . 01    ) are suitable to support the transmission and analysis of biometric signals into scalable telemedicine systems.<\/jats:p>","DOI":"10.3390\/s18061851","type":"journal-article","created":{"date-parts":[[2018,6,6]],"date-time":"2018-06-06T07:38:15Z","timestamp":1528270695000},"page":"1851","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":86,"title":["Wearable Sensors Integrated with Internet of Things for Advancing eHealth Care"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2602-6367","authenticated-orcid":false,"given":"Jose-Luis","family":"Bayo-Monton","sequence":"first","affiliation":[{"name":"Instituto Universitario de Investigaci\u00f3n de Aplicaciones de las Tecnolog\u00edas de la Informaci\u00f3n y de las Comunicaciones Avanzadas (ITACA), Universitat Polit\u00e8cnica de Val\u00e8ncia, Camino de Vera S\/N, Valencia 46022, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1056-5067","authenticated-orcid":false,"given":"Antonio","family":"Martinez-Millana","sequence":"additional","affiliation":[{"name":"Instituto Universitario de Investigaci\u00f3n de Aplicaciones de las Tecnolog\u00edas de la Informaci\u00f3n y de las Comunicaciones Avanzadas (ITACA), Universitat Polit\u00e8cnica de Val\u00e8ncia, Camino de Vera S\/N, Valencia 46022, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weisi","family":"Han","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2819-5597","authenticated-orcid":false,"given":"Carlos","family":"Fernandez-Llatas","sequence":"additional","affiliation":[{"name":"Instituto Universitario de Investigaci\u00f3n de Aplicaciones de las Tecnolog\u00edas de la Informaci\u00f3n y de las Comunicaciones Avanzadas (ITACA), Universitat Polit\u00e8cnica de Val\u00e8ncia, Camino de Vera S\/N, Valencia 46022, Spain"},{"name":"Unidad Mixta de Reingenier\u00eda de Procesos Sociosanitarios (eRPSS), Instituto de Investigaci\u00f3n Sanitaria del Hospital Universitario y Politecnico La Fe, Bulevar Sur S\/N, Valencia 46026, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0839-1769","authenticated-orcid":false,"given":"Yan","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1806-8575","authenticated-orcid":false,"given":"Vicente","family":"Traver","sequence":"additional","affiliation":[{"name":"Instituto Universitario de Investigaci\u00f3n de Aplicaciones de las Tecnolog\u00edas de la Informaci\u00f3n y de las Comunicaciones Avanzadas (ITACA), Universitat Polit\u00e8cnica de Val\u00e8ncia, Camino de Vera S\/N, Valencia 46022, Spain"},{"name":"Unidad Mixta de Reingenier\u00eda de Procesos Sociosanitarios (eRPSS), Instituto de Investigaci\u00f3n Sanitaria del Hospital Universitario y Politecnico La Fe, Bulevar Sur S\/N, Valencia 46026, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,6,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1007\/s12599-015-0383-3","article-title":"Internet of things","volume":"57","author":"Wortmann","year":"2015","journal-title":"Bus. 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