Clustering of electrocardiograph signals in computer-aided Holter analysis. ... The electrocardiograph signals used in the experiments belong to the well-known MIT database, where many different waveforms can be found. ... The computational cost is high when dealing with complete Holter signals, but many of the stages can be implemented in the ...

Clustering of Electrocardiograph Signals in Computer-aided Holter Analysis. David Cuesta-Frau *, Juan C. Pérez-Cortés, Gabriela Andreu-García Department of Computer Engineering (DISCA), Polytechnic University of Valencia, EPSA, Plaza Ferrándiz y Carbonell 2, 03801, Alcoi, Spain Abstract A number of methods for temporal alignment, feature extraction, and clustering of electrocardiographic ...

Clustering of Electrocardiograph Signals in Computer-aided Holter Analysis. David Cuesta-Frau*, Juan C. Pérez-Cortés, Gabriela Andreu-García Department of Computer Engineering (DISCA), Polytechnic University of Valencia, EPSA, Plaza Ferrándiz y Carbonell 2, 03801, Alcoi, Spain Abstract A number of methods for temporal alignment, feature extraction, and clustering of electrocardiographic ...

Non-Linear Temporal Alignment of Electrocardiograph Signals August 2001 In this paper, the performance analysis of a clustering algorithm applied to group electrocardiograph beats is presented.

Clustering of electrocardiograph signals in computer-aided Holter analysis David Cuesta-Frau *, Juan C. Pe´rez-Corte´s, Gabriela Andreu-Garcı´a Department of Computer…

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Comparison of seven approaches for holter ECG clustering and classification. PÉREZ-CORTÉS a G. ANDREU-GARCÍA. Clustering of electrocardiograph signals in computer-aided Holter analysis.

The application is based on a novel distributed clustering algorithm that is used for medical diagnosis of cardio-vascular signals. The algorithm collects different statistics from the cardiac signals and uses these statistics to build a distributed clustering model automatically.

Further described is the use of cluster analysis for classification of ECG and its application to the signals from the CSE. This work assesses which of clustering methods is applied to ECG signals appropriate. Topics: Srdce ... Clustering of electrocardiograph signals in computer-aided Holter analysis.

To assess and find out the best K-means run among an exhaustive number of trials, we performed cluster validity analysis, which is the assessment of the clustering method’s output using a specific criterion for optimality, i.e. the so-called clustering validity index (CVI).