TY - JOUR
T1 - Semiparametric shift estimation for alignment of ECG data
AU - Trigano, Thomas
AU - Isserles, Uri
AU - Ritov, Ya'acov
PY - 2008
Y1 - 2008
N2 - We address the problem of curve alignment with a semiparametric framework, that is without any knowledge of the shape. This study stems from a biological issue, in which we are interested in the estimation of the average heart cycle signal, but wish to estimate it without any knowledge of the pulse shape, which may differ from one patient to another. We suggest in this paper an estimator based on a smoothed functional of the periodogram. Results show better performances than the standard method, as well as its robustness to the noise level. copyright by EURASIP.
AB - We address the problem of curve alignment with a semiparametric framework, that is without any knowledge of the shape. This study stems from a biological issue, in which we are interested in the estimation of the average heart cycle signal, but wish to estimate it without any knowledge of the pulse shape, which may differ from one patient to another. We suggest in this paper an estimator based on a smoothed functional of the periodogram. Results show better performances than the standard method, as well as its robustness to the noise level. copyright by EURASIP.
UR - http://www.scopus.com/inward/record.url?scp=84863752493&partnerID=8YFLogxK
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AN - SCOPUS:84863752493
SN - 2219-5491
JO - European Signal Processing Conference
JF - European Signal Processing Conference
T2 - 16th European Signal Processing Conference, EUSIPCO 2008
Y2 - 25 August 2008 through 29 August 2008
ER -