Electrocardiologic and related methods of non-invasive detection and risk stratification in myocardial ischemia: state of the art and perspectives
Identifieur interne : 000B27 ( Main/Curation ); précédent : 000B26; suivant : 000B28Electrocardiologic and related methods of non-invasive detection and risk stratification in myocardial ischemia: state of the art and perspectives
Auteurs : Thomas Huebner [Autriche] ; Matthias Goernig [Allemagne] ; Michael Schuepbach [France] ; Ernst Sanz [France] ; Roland Pilgram [Autriche] ; Andrea Seeck [Allemagne] ; Andreas Voss [Allemagne]Source :
- GMS German Medical Science [ 1612-3174 ] ; 2010.
Abstract
Url:
DOI: 10.3205/000116
PubMed: 21063467
PubMed Central: 2975259
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Electrocardiologic and related methods of non-invasive detection and risk stratification in myocardial ischemia: state of the art and perspectives</title><author><name sortKey="Huebner, Thomas" sort="Huebner, Thomas" uniqKey="Huebner T" first="Thomas" last="Huebner">Thomas Huebner</name><affiliation wicri:level="1"><nlm:aff id="A1">Department for Human and Economic Sciences, University for Health Sciences, Medical Informatics and Technology (UMIT), Hall, Austria</nlm:aff><country xml:lang="fr">Autriche</country><wicri:regionArea>Department for Human and Economic Sciences, University for Health Sciences, Medical Informatics and Technology (UMIT), Hall</wicri:regionArea><wicri:noRegion>Hall</wicri:noRegion></affiliation></author><author><name sortKey="Goernig, Matthias" sort="Goernig, Matthias" uniqKey="Goernig M" first="Matthias" last="Goernig">Matthias Goernig</name><affiliation wicri:level="1"><nlm:aff id="A2">Clinic of Internal Medicine I, University Hospital of Jena, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Clinic of Internal Medicine I, University Hospital of Jena</wicri:regionArea><wicri:noRegion>University Hospital of Jena</wicri:noRegion><wicri:noRegion>University Hospital of Jena</wicri:noRegion><wicri:noRegion>University Hospital of Jena</wicri:noRegion></affiliation></author><author><name sortKey="Schuepbach, Michael" sort="Schuepbach, Michael" uniqKey="Schuepbach M" first="Michael" last="Schuepbach">Michael Schuepbach</name><affiliation wicri:level="3"><nlm:aff id="A3">University Hospital Inselspital, Bern, Switzerland CHU Pitié-Salpêtrière, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>University Hospital Inselspital, Bern, Switzerland CHU Pitié-Salpêtrière, Paris</wicri:regionArea><placeName><region type="region">Île-de-France</region><region type="old region">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author><author><name sortKey="Sanz, Ernst" sort="Sanz, Ernst" uniqKey="Sanz E" first="Ernst" last="Sanz">Ernst Sanz</name><affiliation wicri:level="3"><nlm:aff id="A3">University Hospital Inselspital, Bern, Switzerland CHU Pitié-Salpêtrière, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>University Hospital Inselspital, Bern, Switzerland CHU Pitié-Salpêtrière, Paris</wicri:regionArea><placeName><region type="region">Île-de-France</region><region type="old region">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author><author><name sortKey="Pilgram, Roland" sort="Pilgram, Roland" uniqKey="Pilgram R" first="Roland" last="Pilgram">Roland Pilgram</name><affiliation wicri:level="1"><nlm:aff id="A1">Department for Human and Economic Sciences, University for Health Sciences, Medical Informatics and Technology (UMIT), Hall, Austria</nlm:aff><country xml:lang="fr">Autriche</country><wicri:regionArea>Department for Human and Economic Sciences, University for Health Sciences, Medical Informatics and Technology (UMIT), Hall</wicri:regionArea><wicri:noRegion>Hall</wicri:noRegion></affiliation></author><author><name sortKey="Seeck, Andrea" sort="Seeck, Andrea" uniqKey="Seeck A" first="Andrea" last="Seeck">Andrea Seeck</name><affiliation wicri:level="1"><nlm:aff id="A4">Departement of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Departement of Medical Engineering and Biotechnology, University of Applied Sciences Jena</wicri:regionArea><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion></affiliation></author><author><name sortKey="Voss, Andreas" sort="Voss, Andreas" uniqKey="Voss A" first="Andreas" last="Voss">Andreas Voss</name><affiliation wicri:level="1"><nlm:aff id="A4">Departement of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Departement of Medical Engineering and Biotechnology, University of Applied Sciences Jena</wicri:regionArea><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">21063467</idno><idno type="pmc">2975259</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2975259</idno><idno type="RBID">PMC:2975259</idno><idno type="doi">10.3205/000116</idno><date when="2010">2010</date><idno type="wicri:Area/Pmc/Corpus">000628</idno><idno type="wicri:explorRef" wicri:stream="Pmc" 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id="A1">Department for Human and Economic Sciences, University for Health Sciences, Medical Informatics and Technology (UMIT), Hall, Austria</nlm:aff><country xml:lang="fr">Autriche</country><wicri:regionArea>Department for Human and Economic Sciences, University for Health Sciences, Medical Informatics and Technology (UMIT), Hall</wicri:regionArea><wicri:noRegion>Hall</wicri:noRegion></affiliation></author><author><name sortKey="Goernig, Matthias" sort="Goernig, Matthias" uniqKey="Goernig M" first="Matthias" last="Goernig">Matthias Goernig</name><affiliation wicri:level="1"><nlm:aff id="A2">Clinic of Internal Medicine I, University Hospital of Jena, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Clinic of Internal Medicine I, University Hospital of Jena</wicri:regionArea><wicri:noRegion>University Hospital of Jena</wicri:noRegion><wicri:noRegion>University Hospital of Jena</wicri:noRegion><wicri:noRegion>University Hospital of Jena</wicri:noRegion></affiliation></author><author><name sortKey="Schuepbach, Michael" sort="Schuepbach, Michael" uniqKey="Schuepbach M" first="Michael" last="Schuepbach">Michael Schuepbach</name><affiliation wicri:level="3"><nlm:aff id="A3">University Hospital Inselspital, Bern, Switzerland CHU Pitié-Salpêtrière, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>University Hospital Inselspital, Bern, Switzerland CHU Pitié-Salpêtrière, Paris</wicri:regionArea><placeName><region type="region">Île-de-France</region><region type="old region">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author><author><name sortKey="Sanz, Ernst" sort="Sanz, Ernst" uniqKey="Sanz E" first="Ernst" last="Sanz">Ernst Sanz</name><affiliation wicri:level="3"><nlm:aff id="A3">University Hospital Inselspital, Bern, Switzerland CHU Pitié-Salpêtrière, Paris, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>University Hospital Inselspital, Bern, Switzerland CHU Pitié-Salpêtrière, Paris</wicri:regionArea><placeName><region type="region">Île-de-France</region><region type="old region">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author><author><name sortKey="Pilgram, Roland" sort="Pilgram, Roland" uniqKey="Pilgram R" first="Roland" last="Pilgram">Roland Pilgram</name><affiliation wicri:level="1"><nlm:aff id="A1">Department for Human and Economic Sciences, University for Health Sciences, Medical Informatics and Technology (UMIT), Hall, Austria</nlm:aff><country xml:lang="fr">Autriche</country><wicri:regionArea>Department for Human and Economic Sciences, University for Health Sciences, Medical Informatics and Technology (UMIT), Hall</wicri:regionArea><wicri:noRegion>Hall</wicri:noRegion></affiliation></author><author><name sortKey="Seeck, Andrea" sort="Seeck, Andrea" uniqKey="Seeck A" first="Andrea" last="Seeck">Andrea Seeck</name><affiliation wicri:level="1"><nlm:aff id="A4">Departement of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Departement of Medical Engineering and Biotechnology, University of Applied Sciences Jena</wicri:regionArea><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion></affiliation></author><author><name sortKey="Voss, Andreas" sort="Voss, Andreas" uniqKey="Voss A" first="Andreas" last="Voss">Andreas Voss</name><affiliation wicri:level="1"><nlm:aff id="A4">Departement of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Departement of Medical Engineering and Biotechnology, University of Applied Sciences Jena</wicri:regionArea><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion><wicri:noRegion>University of Applied Sciences Jena</wicri:noRegion></affiliation></author></analytic><series><title level="j">GMS German Medical Science</title><idno type="eISSN">1612-3174</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><bold>Background:</bold> Electrocardiographic methods still provide the bulk of cardiovascular diagnostics. Cardiac ischemia is associated with typical alterations in cardiac biosignals that have to be measured, analyzed by mathematical algorithms and allegorized for further clinical diagnostics. The fast growing fields of biomedical engineering and applied sciences are intensely focused on generating new approaches to cardiac biosignal analysis for diagnosis and risk stratification in myocardial ischemia.</p><p><bold>Objectives:</bold> To present and review the state of the art in and new approaches to electrocardiologic methods for non-invasive detection and risk stratification in coronary artery disease (CAD) and myocardial ischemia; secondarily, to explore the future perspectives of these methods. </p><p><bold>Methods:</bold> In follow-up to the Expert Discussion at the 2008 Workshop on "Biosignal Analysis" of the German Society of Biomedical Engineering in Potsdam, Germany, we comprehensively searched the pertinent literature and databases and compiled the results into this review. Then, we categorized the state-of-the-art methods and selected new approaches based on their applications in detection and risk stratification of myocardial ischemia. Finally, we compared the pros and cons of the methods and explored their future potentials for cardiology.</p><p><bold>Results:</bold> Resting ECG, particularly suited for detecting ST-elevation myocardial infarctions, and exercise ECG, for the diagnosis of stable CAD, are state-of-the-art methods. New exercise-free methods for detecting stable CAD include cardiogoniometry (CGM); methods for detecting acute coronary syndrome without ST elevation are Body Surface Potential Mapping, functional imaging and CGM. Heart rate variability and blood pressure variability analyses, microvolt T-wave alternans and signal-averaged ECG mainly serve in detecting and stratifying the risk for lethal arrythmias in patients with myocardial ischemia or previous myocardial infarctions. Telemedicine and ambient-assisted living support the electrocardiological monitoring of at-risk patients.</p><p><bold>Conclusions:</bold> There are many promising methods for the exercise-free, non-invasive detection of CAD and myocardial ischemia in the stable and acute phases. In the coming years, these new methods will help enhance state-of-the-art procedures in routine diagnostics. 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|clé= PMC:2975259
|texte= Electrocardiologic and related methods of non-invasive detection and risk stratification in myocardial ischemia: state of the art and perspectives
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Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Curation/RBID.i -Sk "pubmed:21063467" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Curation/biblio.hfd \
| NlmPubMed2Wicri -a TelematiV1
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