{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T22:01:37Z","timestamp":1772143297054,"version":"3.50.1"},"reference-count":45,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2017,12,12]],"date-time":"2017-12-12T00:00:00Z","timestamp":1513036800000},"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>Cardiac rehabilitation is a key program which significantly reduces the mortality in at-risk patients with ischemic heart disease; however, there is a lack of accessibility to these programs in health centers. To resolve this issue, home-based programs for cardiac rehabilitation have arisen as a potential solution. In this work, we present an approach based on a new generation of wrist-worn devices which have improved the quality of heart rate sensors and applications. Real-time monitoring of rehabilitation sessions based on high-quality clinical guidelines is embedded in a wearable application. For this, a fuzzy temporal linguistic approach models the clinical protocol. An evaluation based on cases is developed by a cardiac rehabilitation team.<\/jats:p>","DOI":"10.3390\/s17122892","type":"journal-article","created":{"date-parts":[[2017,12,12]],"date-time":"2017-12-12T13:35:00Z","timestamp":1513085700000},"page":"2892","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Real-Time Monitoring in Home-Based Cardiac Rehabilitation Using Wrist-Worn Heart Rate Devices"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8577-8772","authenticated-orcid":false,"given":"Javier","family":"Medina Quero","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Jaen, Campus Las Lagunillas, 23071 Ja\u00e9n, Spain"}]},{"given":"Mar\u00eda Rosa","family":"Fern\u00e1ndez Olmo","sequence":"additional","affiliation":[{"name":"Heart Rehabilitation Unit of the Hospital Complex of Ja\u00e9n, Av. del Ej\u00e9rcito Espa\u00f1ol 10, 23007 Ja\u00e9n, Spain"}]},{"given":"Mar\u00eda Dolores","family":"Pel\u00e1ez Aguilera","sequence":"additional","affiliation":[{"name":"Council of Health for the Andalucian Health Service, Av. de la Constitucion 18, 41071 Sevilla, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1118-7782","authenticated-orcid":false,"given":"Macarena","family":"Espinilla Est\u00e9vez","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Jaen, Campus Las Lagunillas, 23071 Ja\u00e9n, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2017,12,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"S5","DOI":"10.1249\/MSS.0b013e3182399c0e","article-title":"Assessing physical activity using wearable monitors: Measures of physical activity","volume":"44","author":"Butte","year":"2012","journal-title":"Med. 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