000087185 001__ 87185
000087185 005__ 20190316233749.0
000087185 037__ $$aREP_WORK
000087185 245__ $$aVentricular and Atrial Activity Estimation Through Sparse ECG Signal Decompositions
000087185 269__ $$a2005
000087185 260__ $$c2005$$aEcublens
000087185 336__ $$aReports
000087185 500__ $$aITS
000087185 520__ $$aThis paper explores a novel approach for ventricular and atrial activities estimation in electrocardiogram (ECG) signals, based on sparse source separation. Sparse decompositions of ECG over signal-adapted multi-component dictionaries can lead to natural separation of its components. In this work, dictionaries of functions adapted to ventricular and atrial activities are respectively defined. Then, the weighted orthogonal matching pursuit algorithm is used to unmix the two components of ECG signals. Despite the simplicity of the approach, results are very promising, showing the capacity of the algorithm to generate realistic estimations of atrial and ventricular activities.
000087185 6531_ $$aAtrial and Ventricular Activity Estimation
000087185 6531_ $$aECG
000087185 6531_ $$aLTS1
000087185 6531_ $$aLTS2
000087185 6531_ $$aRedundant Dictionaries
000087185 6531_ $$aSource Separation
000087185 6531_ $$aSparse Approximations
000087185 6531_ $$aWeighted Matching Pursuit
000087185 700__ $$0241064$$g134131$$aDivorra Escoda, O.
000087185 700__ $$0241529$$g141038$$aGranai, L.
000087185 700__ $$aLemay, M.
000087185 700__ $$aMolinero Hernandez, J.
000087185 700__ $$g120906$$aVandergheynst, P.$$0240428
000087185 700__ $$aVesin, J.$$g106643$$0240458
000087185 8564_ $$uhttps://infoscience.epfl.ch/record/87185/files/Divorra_Escoda2005_1401.pdf$$zn/a$$s261432
000087185 909C0 $$xU10380$$0252392$$pLTS2
000087185 909CO $$qGLOBAL_SET$$pSTI$$ooai:infoscience.tind.io:87185$$preport
000087185 937__ $$aEPFL-REPORT-87185
000087185 970__ $$aDivorraEscoda2005_1401/LTS
000087185 973__ $$sPUBLISHED$$aEPFL
000087185 980__ $$aREPORT