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Enabling Heart Self-Monitoring for All and for AAL-Portable Device within a Complete Telemedicine System
During the last decades there has been a rapidly growing elderly population and the number of patients with chronic heart-related diseases has exploded. Many of them (such as those with congestive heart failure or some types of arrhythmias) require close medical supervision, thus imposing a big burd...
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Published in: | Sensors (Basel, Switzerland) Switzerland), 2019-09, Vol.19 (18), p.3969 |
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creator | Bleda, Andrés-Lorenzo Melgarejo-Meseguer, Francisco-Manuel Gimeno-Blanes, Francisco-Javier García-Alberola, Arcadi Rojo-Álvarez, José Luis Corral, Javier Ruiz, Ricardo Maestre-Ferriz, Rafael |
description | During the last decades there has been a rapidly growing elderly population and the number of patients with chronic heart-related diseases has exploded. Many of them (such as those with congestive heart failure or some types of arrhythmias) require close medical supervision, thus imposing a big burden on healthcare costs in most western economies. Specifically, continuous or frequent Arterial Blood Pressure (ABP) and electrocardiogram (ECG) monitoring are important tools in the follow-up of many of these patients. In this work, we present a novel remote non-ambulatory and clinically validated heart self-monitoring system, which allows ABP and ECG monitoring to effectively identify clinically relevant arrhythmias. The system integrates digital transmission of the ECG and tensiometer measurements, within a patient-comfortable support, easy to recharge and with a multi-function software, all of them aiming to adapt for elderly people. The main novelty is that both physiological variables (ABP and ECG) are simultaneously measured in an ambulatory environment, which to our best knowledge is not readily available in the clinical market. Different processing techniques were implemented to analyze the heart rhythm, including pause detection, rhythm alterations and atrial fibrillation, hence allowing early detection of these diseases. Our results achieved clinical quality both for in-lab hardware testing and for ambulatory scenario validations. The proposed active assisted living (AAL) Sensor-based system is an end-to-end multidisciplinary system, fully connected to a platform and tested by the clinical team from beginning to end. |
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Many of them (such as those with congestive heart failure or some types of arrhythmias) require close medical supervision, thus imposing a big burden on healthcare costs in most western economies. Specifically, continuous or frequent Arterial Blood Pressure (ABP) and electrocardiogram (ECG) monitoring are important tools in the follow-up of many of these patients. In this work, we present a novel remote non-ambulatory and clinically validated heart self-monitoring system, which allows ABP and ECG monitoring to effectively identify clinically relevant arrhythmias. The system integrates digital transmission of the ECG and tensiometer measurements, within a patient-comfortable support, easy to recharge and with a multi-function software, all of them aiming to adapt for elderly people. The main novelty is that both physiological variables (ABP and ECG) are simultaneously measured in an ambulatory environment, which to our best knowledge is not readily available in the clinical market. Different processing techniques were implemented to analyze the heart rhythm, including pause detection, rhythm alterations and atrial fibrillation, hence allowing early detection of these diseases. Our results achieved clinical quality both for in-lab hardware testing and for ambulatory scenario validations. The proposed active assisted living (AAL) Sensor-based system is an end-to-end multidisciplinary system, fully connected to a platform and tested by the clinical team from beginning to end.</description><identifier>ISSN: 1424-8220</identifier><identifier>EISSN: 1424-8220</identifier><identifier>DOI: 10.3390/s19183969</identifier><identifier>PMID: 31540042</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Algorithms ; arterial blood pressure ; Assisted Living Facilities ; atrial fibrillation detector ; Blood pressure ; Cardiac arrhythmia ; Cardiology ; Classification ; e-health ; ECG ; Electrocardiography ; Fibrillation ; Heart - physiology ; Heart attacks ; Heart rate ; Humans ; Medical equipment ; Mobile Applications ; Monitoring ; Monitoring, Physiologic - instrumentation ; Morphology ; Older people ; Population ; portability ; Portable equipment ; QRS detector ; Sensors ; Signal processing ; Signal Processing, Computer-Assisted ; Smartphones ; Software ; Telemedicine ; Telemedicine - instrumentation ; User-Computer Interface ; Wearable computers</subject><ispartof>Sensors (Basel, Switzerland), 2019-09, Vol.19 (18), p.3969</ispartof><rights>2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 by the authors. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c497t-6863d69f34217db55310814c674089ecb46b24c28a8b35b2816a9c4fe4c5c7d33</citedby><cites>FETCH-LOGICAL-c497t-6863d69f34217db55310814c674089ecb46b24c28a8b35b2816a9c4fe4c5c7d33</cites><orcidid>0000-0003-0426-8912 ; 0000-0003-1928-865X ; 0000-0003-1823-8722 ; 0000-0001-6916-6082</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2535493322/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2535493322?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31540042$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bleda, Andrés-Lorenzo</creatorcontrib><creatorcontrib>Melgarejo-Meseguer, Francisco-Manuel</creatorcontrib><creatorcontrib>Gimeno-Blanes, Francisco-Javier</creatorcontrib><creatorcontrib>García-Alberola, Arcadi</creatorcontrib><creatorcontrib>Rojo-Álvarez, José Luis</creatorcontrib><creatorcontrib>Corral, Javier</creatorcontrib><creatorcontrib>Ruiz, Ricardo</creatorcontrib><creatorcontrib>Maestre-Ferriz, Rafael</creatorcontrib><title>Enabling Heart Self-Monitoring for All and for AAL-Portable Device within a Complete Telemedicine System</title><title>Sensors (Basel, Switzerland)</title><addtitle>Sensors (Basel)</addtitle><description>During the last decades there has been a rapidly growing elderly population and the number of patients with chronic heart-related diseases has exploded. Many of them (such as those with congestive heart failure or some types of arrhythmias) require close medical supervision, thus imposing a big burden on healthcare costs in most western economies. Specifically, continuous or frequent Arterial Blood Pressure (ABP) and electrocardiogram (ECG) monitoring are important tools in the follow-up of many of these patients. In this work, we present a novel remote non-ambulatory and clinically validated heart self-monitoring system, which allows ABP and ECG monitoring to effectively identify clinically relevant arrhythmias. The system integrates digital transmission of the ECG and tensiometer measurements, within a patient-comfortable support, easy to recharge and with a multi-function software, all of them aiming to adapt for elderly people. The main novelty is that both physiological variables (ABP and ECG) are simultaneously measured in an ambulatory environment, which to our best knowledge is not readily available in the clinical market. Different processing techniques were implemented to analyze the heart rhythm, including pause detection, rhythm alterations and atrial fibrillation, hence allowing early detection of these diseases. Our results achieved clinical quality both for in-lab hardware testing and for ambulatory scenario validations. 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Melgarejo-Meseguer, Francisco-Manuel ; Gimeno-Blanes, Francisco-Javier ; García-Alberola, Arcadi ; Rojo-Álvarez, José Luis ; Corral, Javier ; Ruiz, Ricardo ; Maestre-Ferriz, Rafael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c497t-6863d69f34217db55310814c674089ecb46b24c28a8b35b2816a9c4fe4c5c7d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>arterial blood pressure</topic><topic>Assisted Living Facilities</topic><topic>atrial fibrillation detector</topic><topic>Blood pressure</topic><topic>Cardiac arrhythmia</topic><topic>Cardiology</topic><topic>Classification</topic><topic>e-health</topic><topic>ECG</topic><topic>Electrocardiography</topic><topic>Fibrillation</topic><topic>Heart - physiology</topic><topic>Heart attacks</topic><topic>Heart rate</topic><topic>Humans</topic><topic>Medical equipment</topic><topic>Mobile Applications</topic><topic>Monitoring</topic><topic>Monitoring, Physiologic - instrumentation</topic><topic>Morphology</topic><topic>Older people</topic><topic>Population</topic><topic>portability</topic><topic>Portable equipment</topic><topic>QRS detector</topic><topic>Sensors</topic><topic>Signal processing</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Smartphones</topic><topic>Software</topic><topic>Telemedicine</topic><topic>Telemedicine - instrumentation</topic><topic>User-Computer Interface</topic><topic>Wearable computers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bleda, Andrés-Lorenzo</creatorcontrib><creatorcontrib>Melgarejo-Meseguer, Francisco-Manuel</creatorcontrib><creatorcontrib>Gimeno-Blanes, Francisco-Javier</creatorcontrib><creatorcontrib>García-Alberola, Arcadi</creatorcontrib><creatorcontrib>Rojo-Álvarez, José Luis</creatorcontrib><creatorcontrib>Corral, Javier</creatorcontrib><creatorcontrib>Ruiz, Ricardo</creatorcontrib><creatorcontrib>Maestre-Ferriz, Rafael</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Sensors (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bleda, Andrés-Lorenzo</au><au>Melgarejo-Meseguer, Francisco-Manuel</au><au>Gimeno-Blanes, Francisco-Javier</au><au>García-Alberola, Arcadi</au><au>Rojo-Álvarez, José Luis</au><au>Corral, Javier</au><au>Ruiz, Ricardo</au><au>Maestre-Ferriz, Rafael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enabling Heart Self-Monitoring for All and for AAL-Portable Device within a Complete Telemedicine System</atitle><jtitle>Sensors (Basel, Switzerland)</jtitle><addtitle>Sensors (Basel)</addtitle><date>2019-09-14</date><risdate>2019</risdate><volume>19</volume><issue>18</issue><spage>3969</spage><pages>3969-</pages><issn>1424-8220</issn><eissn>1424-8220</eissn><abstract>During the last decades there has been a rapidly growing elderly population and the number of patients with chronic heart-related diseases has exploded. Many of them (such as those with congestive heart failure or some types of arrhythmias) require close medical supervision, thus imposing a big burden on healthcare costs in most western economies. Specifically, continuous or frequent Arterial Blood Pressure (ABP) and electrocardiogram (ECG) monitoring are important tools in the follow-up of many of these patients. In this work, we present a novel remote non-ambulatory and clinically validated heart self-monitoring system, which allows ABP and ECG monitoring to effectively identify clinically relevant arrhythmias. The system integrates digital transmission of the ECG and tensiometer measurements, within a patient-comfortable support, easy to recharge and with a multi-function software, all of them aiming to adapt for elderly people. The main novelty is that both physiological variables (ABP and ECG) are simultaneously measured in an ambulatory environment, which to our best knowledge is not readily available in the clinical market. Different processing techniques were implemented to analyze the heart rhythm, including pause detection, rhythm alterations and atrial fibrillation, hence allowing early detection of these diseases. Our results achieved clinical quality both for in-lab hardware testing and for ambulatory scenario validations. The proposed active assisted living (AAL) Sensor-based system is an end-to-end multidisciplinary system, fully connected to a platform and tested by the clinical team from beginning to end.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>31540042</pmid><doi>10.3390/s19183969</doi><orcidid>https://orcid.org/0000-0003-0426-8912</orcidid><orcidid>https://orcid.org/0000-0003-1928-865X</orcidid><orcidid>https://orcid.org/0000-0003-1823-8722</orcidid><orcidid>https://orcid.org/0000-0001-6916-6082</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms arterial blood pressure Assisted Living Facilities atrial fibrillation detector Blood pressure Cardiac arrhythmia Cardiology Classification e-health ECG Electrocardiography Fibrillation Heart - physiology Heart attacks Heart rate Humans Medical equipment Mobile Applications Monitoring Monitoring, Physiologic - instrumentation Morphology Older people Population portability Portable equipment QRS detector Sensors Signal processing Signal Processing, Computer-Assisted Smartphones Software Telemedicine Telemedicine - instrumentation User-Computer Interface Wearable computers |
title | Enabling Heart Self-Monitoring for All and for AAL-Portable Device within a Complete Telemedicine System |
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