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IoT Based Heart Activity Monitoring Using Inductive Sensors
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695716/ https://www.ncbi.nlm.nih.gov/pubmed/31357390 http://dx.doi.org/10.3390/s19153284 |
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author | Brezulianu, Adrian Geman, Oana Zbancioc, Marius Dan Hagan, Marius Aghion, Cristian Hemanth, D. Jude Son, Le Hoang |
author_facet | Brezulianu, Adrian Geman, Oana Zbancioc, Marius Dan Hagan, Marius Aghion, Cristian Hemanth, D. Jude Son, Le Hoang |
author_sort | Brezulianu, Adrian |
collection | PubMed |
description | 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 “wear and forget” equipment dedicated to monitoring the vital signs continuously. |
format | Online Article Text |
id | pubmed-6695716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66957162019-09-05 IoT Based Heart Activity Monitoring Using Inductive Sensors Brezulianu, Adrian Geman, Oana Zbancioc, Marius Dan Hagan, Marius Aghion, Cristian Hemanth, D. Jude Son, Le Hoang Sensors (Basel) Article 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 “wear and forget” equipment dedicated to monitoring the vital signs continuously. MDPI 2019-07-26 /pmc/articles/PMC6695716/ /pubmed/31357390 http://dx.doi.org/10.3390/s19153284 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Brezulianu, Adrian Geman, Oana Zbancioc, Marius Dan Hagan, Marius Aghion, Cristian Hemanth, D. Jude Son, Le Hoang IoT Based Heart Activity Monitoring Using Inductive Sensors |
title | IoT Based Heart Activity Monitoring Using Inductive Sensors |
title_full | IoT Based Heart Activity Monitoring Using Inductive Sensors |
title_fullStr | IoT Based Heart Activity Monitoring Using Inductive Sensors |
title_full_unstemmed | IoT Based Heart Activity Monitoring Using Inductive Sensors |
title_short | IoT Based Heart Activity Monitoring Using Inductive Sensors |
title_sort | iot based heart activity monitoring using inductive sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695716/ https://www.ncbi.nlm.nih.gov/pubmed/31357390 http://dx.doi.org/10.3390/s19153284 |
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