Semiparametric shift estimation for alignment of ECG data

Thomas Trigano; Uri Isserles; Ya'acov Ritov

Semiparametric shift estimation for alignment of ECG data

Thomas Trigano^*
, Uri Isserles
, Ya'acov Ritov

^*Corresponding author for this work

Department of Statistics

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Journal	European Signal Processing Conference
State	Published - 2008
Event	16th European Signal Processing Conference, EUSIPCO 2008 - Lausanne, Switzerland Duration: 25 Aug 2008 → 29 Aug 2008

Cite this

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title = "Semiparametric shift estimation for alignment of ECG data",

abstract = "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.",

author = "Thomas Trigano and Uri Isserles and Ya'acov Ritov",

year = "2008",

language = "אנגלית",

journal = "European Signal Processing Conference",

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note = "16th European Signal Processing Conference, EUSIPCO 2008 ; Conference date: 25-08-2008 Through 29-08-2008",

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AU - Isserles, Uri

AU - Ritov, Ya'acov

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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.

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Semiparametric shift estimation for alignment of ECG data

Abstract

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