Name
Title | ||
|---|---|---|
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study |
Abstract | ||
|---|---|---|
In this paper, a method to automatically extract the main information from a long-term electrocardiographic signal is presented. This method is based on techniques of pattern recognition applied to speech processing, like dynamic time warping, and trace segmentation. In order to fulfill this objective, a clustering process is applied to the set of beats present within the electrocardiographic signal. From each group obtained, one beat is taken as representative of all the beats in that cluster.Since the discrete sequences of beat features can have different length, the clustering process takes place in a pseudo-metric space, and the dissimilarity measure is calculated using dynamic programming. Due to the same reason, the clustering algorithm employed is theKMedians, including some optimizations to reduce the computational cost. An experimental comparative study, using four different feature extraction methods, linear, and non-linear temporal alignment of sequences, is performed using labeled registers from the MIT database. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICPR.2002.1048197 | ICPR (3) |
Keywords | Field | DocType |
clustering process,dynamic time warping,different feature extraction method,feature extraction methods applied,dynamic programming,mit database,comparative study,different length,beat feature,electrocardiographic signals,clustering algorithm,long-term electrocardiographic signal,electrocardiographic signal,feature extraction,clustering,data mining,pattern recognition,length measurement,speech processing,sequences,metric space,signal processing,clustering algorithms,registers,optimization | Speech processing,Fuzzy clustering,Signal processing,Dynamic time warping,Correlation clustering,Pattern recognition,Segmentation,Computer science,Feature extraction,Artificial intelligence,Cluster analysis | Conference |
Volume | ISSN | ISBN |
3 | 1051-4651 | 0-7695-1695-X |
Citations | PageRank | References |
1 | 0.54 | 1 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. Cuesta-Frau | 1 | 149 | 23.78 |
| Juan C. Pérez-Cortés | 2 | 137 | 16.20 |
| Gabriela Andreu García | 3 | 30 | 6.03 |
| Daniel Novák | 4 | 26 | 9.29 |
| Cuesta-Frau, D. | 5 | 1 | 0.54 |
| Perez-Cortes, J.C. | 6 | 3 | 1.61 |
| Andreu-Garcia, G. | 7 | 1 | 0.54 |