44 research outputs found

    A Framework for Certified Self-Stabilization

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    We propose a general framework to build certified proofs of distributed self-stabilizing algorithms with the proof assistant Coq. We first define in Coq the locally shared memory model with composite atomicity, the most commonly used model in the self-stabilizing area. We then validate our framework by certifying a non trivial part of an existing silent self-stabilizing algorithm which builds a kk-hop dominating set of the network. We also certified a quantitative property related to the output of this algorithm. Precisely, we show that the computed kk-hop dominating set contains at most n1k+1+1\lfloor \frac{n-1}{k+1} \rfloor + 1 nodes, where nn is the number of nodes in the network. To obtain these results, we also developed a library which contains general tools related to potential functions and cardinality of sets

    Monitoring der Qualität von EKG-Registerungen in bevölkerungsbasierten Untersuchungen.

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    Für die Validität und die Präzision diagnostisch relevanter elektrokardiographischer (EKG-) lvferkmale spielt die Qualität der EKG-Registrierung eine bedeutende Rolle. Dies gilt trolz der Verfügbarkeit leistung.)jähiger Verfahren der Computer-EKG-Analyse mit vielen Möglichkeiten der Signal bereinigung. Im Rahmen des Qualitätssicherungsprogramms des 4. KORA Gesundheits-Surveys (KORA-S4) wurde ein kontinuierliches Monitoring der EKG-Signalqualität durchgeführt. Ziel war die Verfügbarkeit störllngsarmer EKG-Sequenzen für die exakte und unverzerrte Schätzung bevölkerungsbezogener EKG-Parameter. Im KORA-S4 wurden 4261 Personen aus der Allgemeinbevölkerllng der Region Augsburg im Rahmen eines umfangreichen standardisierten Prögramms untersucht

    Factors affecting the sensitivity of computerized ECG analysis in identifying previous myocardial infarction.

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    We investigated to what extent the ECG sensitivity in identifying previous myocardial infarctions (MI) is affected by the clinical/epidemiological criteria having been used in the acute MI stage. The sensitivity was determined analyzing the 12 lead resting ECGs during a follow-up of 432 long-term survivors who suffered three to 13 years ago from MI. The ECG analysis in the follow-up was performed using the Hannover ECG program. The sensitivity values determined ranged from 61.3% up to 88.4% depending on the criteria used for case selection
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