{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T16:43:13Z","timestamp":1780418593449,"version":"3.54.1"},"reference-count":40,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T00:00:00Z","timestamp":1564099200000},"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>This paper presents a system dedicated to monitoring the heart activity parameters using Electrocardiography (ECG) mobile devices and a Wearable Heart Monitoring Inductive Sensor (WHMIS) that represents a new method and device, developed by us as an experimental model, used to assess the mechanical activity of the hearth using inductive sensors that are inserted in the fabric of the clothes. Only one inductive sensor is incorporated in the clothes in front of the apex area and it is able to assess the cardiorespiratory activity while in the prior of the art are presented methods that predict sensors arrays which are distributed in more places of the body. The parameters that are assessed are heart data-rate and respiration. The results are considered preliminary in order to prove the feasibility of this method. The main goal of the study is to extract the respiration and the data-rate parameters from the same output signal generated by the inductance-to-number convertor using a proper algorithm. The conceived device is meant to be part of the \u201cwear and forget\u201d equipment dedicated to monitoring the vital signs continuously.<\/jats:p>","DOI":"10.3390\/s19153284","type":"journal-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T08:45:39Z","timestamp":1564130739000},"page":"3284","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["IoT Based Heart Activity Monitoring Using Inductive Sensors"],"prefix":"10.3390","volume":"19","author":[{"given":"Adrian","family":"Brezulianu","sequence":"first","affiliation":[{"name":"Faculty of Electronics, Telecommunications and Information Technology, \u201cGheorghe Asachi\u201d Technical University from Ia\u015fi, Ia\u015fi 700050, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8347-8733","authenticated-orcid":false,"given":"Oana","family":"Geman","sequence":"additional","affiliation":[{"name":"Department of Health and Human Development, Stefan cel Mare University, Suceava 720229, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marius Dan","family":"Zbancioc","sequence":"additional","affiliation":[{"name":"Faculty of Electronics, Telecommunications and Information Technology, \u201cGheorghe Asachi\u201d Technical University from Ia\u015fi, Ia\u015fi 700050, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marius","family":"Hagan","sequence":"additional","affiliation":[{"name":"Faculty of Electronics, Telecommunications and Information Technology, \u201cGheorghe Asachi\u201d Technical University from Ia\u015fi, Ia\u015fi 700050, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristian","family":"Aghion","sequence":"additional","affiliation":[{"name":"Faculty of Electronics, Telecommunications and Information Technology, \u201cGheorghe Asachi\u201d Technical University from Ia\u015fi, Ia\u015fi 700050, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D. Jude","family":"Hemanth","sequence":"additional","affiliation":[{"name":"Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu 641114, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Le Hoang","family":"Son","sequence":"additional","affiliation":[{"name":"Division of Data Science, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam"},{"name":"Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,26]]},"reference":[{"key":"ref_1","unstructured":"(2019, January 14). Internet of Things\u2014Statistics & Facts. 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