On Some Methods for Dimensionality Reduction of ECG Signals
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 9
Abstract
Dimensionality reduction with two methods, namely, Laplacian Eigenmap (LE) and Locality Preserving Projections (LPP) is studied for normal and pathological noisy and noiseless ECG patterns. Besides, the possibility of using compressed sensing (CS) as a method of dimensionality reduction is also analyzed. The classification rate for the initial domain as well as in manifolds of various dimensions for the three cases are presented and compared.
Authors and Affiliations
Monica Fira, Liviu Goras
Keywords
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- EP ID EP645839
- DOI 10.14569/IJACSA.2019.0100942
- Views 108
- Downloads 0
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