A smart context-aware mobile monitoring system for heart patients

A smart context-aware mobile monitoring system for heart patients

Patient context awareness is an important concept for application services in mHealth environments. In this paper we present a multisensors system that uses a rule-based DSS able to enhance the accuracy of potentially dangerous Heart Rate variability by taking into account patient context informatio...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Sannino, G., De Pietro, G.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biomedical monitoring
Context
Heart rate
Monitoring
Temperature measurement
Temperature sensors
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 695
container_issue
container_start_page 655
container_title
container_volume
creator Sannino, G.
De Pietro, G.
description Patient context awareness is an important concept for application services in mHealth environments. In this paper we present a multisensors system that uses a rule-based DSS able to enhance the accuracy of potentially dangerous Heart Rate variability by taking into account patient context information. We have designed and implemented an intelligent system that allows receiving data from several sensors and provides the computational power for context recognition. We also show that the use of an intelligent approach relying on a rule-based DSS for the analysis of data and vital signs is better than approaches missing either DSS or context-awareness.
doi_str_mv 10.1109/BIBMW.2011.6112448
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6112448</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6112448</ieee_id><sourcerecordid>6112448</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-d2dd9a2f1799032041554951b9c2724175f66b2809852a494ec89a63904e86673</originalsourceid><addsrcrecordid>eNo1T81Kw0AYXBFBrXkBvewLpO632b_vmBathYoXxWPZJF90pUlKdkH79qZY5zIMzAwzjN2CmAMIvF-sF8_vcykA5gZAKuXO2DUobS0YKPQ5y9C6fy3NJcti_BITjHEW4YqVJY-dHxOvhz7RT8r9tx-Jd0MVdkfqQxrG0H_weIiJOt4OI_-kY2DvU6A-xRt20fpdpOzEM_b2-PC6fMo3L6v1stzkAaxOeSObBr1swSKKQgoFWivUUGEtrVSTpzWmkk6g09IrVFQ79KZAocgZY4sZu_vrDUS03Y9hmn3Ynl4XvzFjSZ8</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A smart context-aware mobile monitoring system for heart patients</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Sannino, G. ; De Pietro, G.</creator><creatorcontrib>Sannino, G. ; De Pietro, G.</creatorcontrib><description>Patient context awareness is an important concept for application services in mHealth environments. In this paper we present a multisensors system that uses a rule-based DSS able to enhance the accuracy of potentially dangerous Heart Rate variability by taking into account patient context information. We have designed and implemented an intelligent system that allows receiving data from several sensors and provides the computational power for context recognition. We also show that the use of an intelligent approach relying on a rule-based DSS for the analysis of data and vital signs is better than approaches missing either DSS or context-awareness.</description><identifier>ISBN: 9781457716126</identifier><identifier>ISBN: 1457716127</identifier><identifier>EISBN: 1457716135</identifier><identifier>EISBN: 9781457716133</identifier><identifier>DOI: 10.1109/BIBMW.2011.6112448</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biomedical monitoring ; Context ; Heart rate ; Monitoring ; Temperature measurement ; Temperature sensors</subject><ispartof>2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), 2011, p.655-695</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6112448$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,27912,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6112448$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Sannino, G.</creatorcontrib><creatorcontrib>De Pietro, G.</creatorcontrib><title>A smart context-aware mobile monitoring system for heart patients</title><title>2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)</title><addtitle>BIBMW</addtitle><description>Patient context awareness is an important concept for application services in mHealth environments. In this paper we present a multisensors system that uses a rule-based DSS able to enhance the accuracy of potentially dangerous Heart Rate variability by taking into account patient context information. We have designed and implemented an intelligent system that allows receiving data from several sensors and provides the computational power for context recognition. We also show that the use of an intelligent approach relying on a rule-based DSS for the analysis of data and vital signs is better than approaches missing either DSS or context-awareness.</description><subject>Biomedical monitoring</subject><subject>Context</subject><subject>Heart rate</subject><subject>Monitoring</subject><subject>Temperature measurement</subject><subject>Temperature sensors</subject><isbn>9781457716126</isbn><isbn>1457716127</isbn><isbn>1457716135</isbn><isbn>9781457716133</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1T81Kw0AYXBFBrXkBvewLpO632b_vmBathYoXxWPZJF90pUlKdkH79qZY5zIMzAwzjN2CmAMIvF-sF8_vcykA5gZAKuXO2DUobS0YKPQ5y9C6fy3NJcti_BITjHEW4YqVJY-dHxOvhz7RT8r9tx-Jd0MVdkfqQxrG0H_weIiJOt4OI_-kY2DvU6A-xRt20fpdpOzEM_b2-PC6fMo3L6v1stzkAaxOeSObBr1swSKKQgoFWivUUGEtrVSTpzWmkk6g09IrVFQ79KZAocgZY4sZu_vrDUS03Y9hmn3Ynl4XvzFjSZ8</recordid><startdate>201111</startdate><enddate>201111</enddate><creator>Sannino, G.</creator><creator>De Pietro, G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201111</creationdate><title>A smart context-aware mobile monitoring system for heart patients</title><author>Sannino, G. ; De Pietro, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-d2dd9a2f1799032041554951b9c2724175f66b2809852a494ec89a63904e86673</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Biomedical monitoring</topic><topic>Context</topic><topic>Heart rate</topic><topic>Monitoring</topic><topic>Temperature measurement</topic><topic>Temperature sensors</topic><toplevel>online_resources</toplevel><creatorcontrib>Sannino, G.</creatorcontrib><creatorcontrib>De Pietro, G.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sannino, G.</au><au>De Pietro, G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A smart context-aware mobile monitoring system for heart patients</atitle><btitle>2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)</btitle><stitle>BIBMW</stitle><date>2011-11</date><risdate>2011</risdate><spage>655</spage><epage>695</epage><pages>655-695</pages><isbn>9781457716126</isbn><isbn>1457716127</isbn><eisbn>1457716135</eisbn><eisbn>9781457716133</eisbn><abstract>Patient context awareness is an important concept for application services in mHealth environments. In this paper we present a multisensors system that uses a rule-based DSS able to enhance the accuracy of potentially dangerous Heart Rate variability by taking into account patient context information. We have designed and implemented an intelligent system that allows receiving data from several sensors and provides the computational power for context recognition. We also show that the use of an intelligent approach relying on a rule-based DSS for the analysis of data and vital signs is better than approaches missing either DSS or context-awareness.</abstract><pub>IEEE</pub><doi>10.1109/BIBMW.2011.6112448</doi><tpages>41</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9781457716126
ispartof 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), 2011, p.655-695
issn
language eng
recordid cdi_ieee_primary_6112448
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Biomedical monitoring
Context
Heart rate
Monitoring
Temperature measurement
Temperature sensors
title A smart context-aware mobile monitoring system for heart patients
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T23%3A29%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=A%20smart%20context-aware%20mobile%20monitoring%20system%20for%20heart%20patients&rft.btitle=2011%20IEEE%20International%20Conference%20on%20Bioinformatics%20and%20Biomedicine%20Workshops%20(BIBMW)&rft.au=Sannino,%20G.&rft.date=2011-11&rft.spage=655&rft.epage=695&rft.pages=655-695&rft.isbn=9781457716126&rft.isbn_list=1457716127&rft_id=info:doi/10.1109/BIBMW.2011.6112448&rft_dat=%3Cieee_6IE%3E6112448%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1457716135&rft.eisbn_list=9781457716133&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6112448&rfr_iscdi=true