{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T15:06:45Z","timestamp":1767625605382,"version":"build-2065373602"},"reference-count":75,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,8,10]],"date-time":"2019-08-10T00:00:00Z","timestamp":1565395200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"<jats:p>Mobile health research field aims to provide access to healthcare anytime and anywhere through mobile computing technologies while using a cost-effective approach. Mobile health is closely related to ambient assisted living as both research fields address independence in elderly adults. Aging has become a relevant challenge, as it is anticipated that 20% of world population will be aged 60 years and older in 2050. Most people spend more than 90% of their time indoors, therefore the indoor environmental quality has a relevant impact on occupant\u2019s health and well-being. We intended to provide real-time indoor quality monitoring for enhanced living environments and occupational health. This paper presents the AirPlus real-time indoor environmental quality monitoring system, which incorporates several advantages when compared to other systems, such as scalability, flexibility, modularity, easy installation, and configuration, as well as mobile computing software for data consulting and notifications. The results that were obtained are promising and present a significant contribution to the monitoring solutions available in the literature. AirPlus provides a rich dataset to plan interventions for enhanced indoor quality, but also to support clinical diagnostics and correlate occupant\u2019s health problems with their living environment conditions.<\/jats:p>","DOI":"10.3390\/jsan8030043","type":"journal-article","created":{"date-parts":[[2019,8,12]],"date-time":"2019-08-12T06:38:02Z","timestamp":1565591882000},"page":"43","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["mHealth: Indoor Environmental Quality Measuring System for Enhanced Health and Well-Being Based on Internet of Things"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5834-6571","authenticated-orcid":false,"given":"Gon\u00e7alo","family":"Marques","sequence":"first","affiliation":[{"name":"Unit for Inland Development, Polytechnic Institute of Guarda, Avenida Doutor Francisco S\u00e1 Carneiro N\u00b0 50, 6300-559 Guarda, Portugal"},{"name":"Computer Science Department, Faculty of Engineering, Universidade da Beira Interior, 6201-001 Covilh\u00e3, Portugal"},{"name":"Instituto de Telecomunica\u00e7\u00f5es, 6201-001 Covilh\u00e3, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9486-0631","authenticated-orcid":false,"given":"Rui","family":"Pitarma","sequence":"additional","affiliation":[{"name":"Unit for Inland Development, Polytechnic Institute of Guarda, Avenida Doutor Francisco S\u00e1 Carneiro N\u00b0 50, 6300-559 Guarda, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2019,8,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.jbi.2015.06.003","article-title":"Mobile-health: A review of current state in 2015","volume":"56","author":"Silva","year":"2015","journal-title":"J. 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