Search results for "ECG analysis"

showing 3 items of 3 documents

Untersuchungen zur Reliabilität von Mustererkennungs-Algorithmen für die P-Wellen orthogonaler Elektrokardiogramme

1979

On the Reliability of Pattern Recognition Algorithms for ECGs Judging the performance of pattern recognition algorithms in ECG analysis on an objective basis still presents a severe problem because of the heuristic nature of the criteria used- The paper illustrates that problem by way of P-wave detectors for ECGs. We want to focus on the external reliability of the algorithms. The term external reliability is closely related to condition or robustness. Here we are interested in the variation of the output of an algorithm when the input data are slightly altered. This pertains to the problem of how the biological variance of the ECGs is mapped into the variance of algorithm output. We may sa…

Computer scienceRobustness (computer science)ECG analysisAlgorithm
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Use of quantitative ECG analysis for early detection and prediction of coronary heart disease

1985

(1985). Use of quantitative ECG analysis for early detection and prediction of coronary heart disease. Medical Informatics: Vol. 10, No. 3, pp. 207-214.

medicine.medical_specialtyElectrodiagnosismedicine.diagnostic_testComputersbusiness.industryEarly detectionCoronary DiseaseHealth informaticsCoronary heart diseaseElectrocardiographyReference ValuesInternal medicinemedicineCardiologyHumansMass ScreeningECG analysisProspective StudiesRisk factorbusinessElectrocardiographyMedical Informatics
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ECG Analysis for Ventricular Fibrillation Detection Using a Boltzmann Network

2015

Arrhythmias consist on electrical alterations in the heart beat control. They can be identified by means of surface ECG leads. The main goal of this work is to provide a signal classification based on ECG signal waveform in the time-frequency domain especially targeted to Ventricular Fibrillation detection. The use of a classifier based on a Boltzmann network is proposed. However, a previous signal preprocessing is also required so that the Boltzmann network is fed with the appropriate data. In this case, an R-wave detector is used; after that, the Pseudo Wigner-Ville time-frequency distribution is obtained. This distribution is used to train and test the network, which handles it as an ima…

medicine.medical_specialtybusiness.industryComputer scienceQuantitative Biology::Tissues and OrgansDetectorFeature extractionPattern recognitionmedicine.diseasesymbols.namesakeInternal medicineVentricular fibrillationBoltzmann constantmedicinesymbolsCardiologyPreprocessorECG analysisWaveformArtificial intelligencebusinessClassifier (UML)
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