Non-iterative missing samples recovery of ECG signals by lmmse estimation for an autoregressive cyclostationary model

Amir Weiss, Arie Yeredor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Electrocardiography (ECG) measured using wearable wireless sensors is already commonly used for several years, as one of the products of the emerging Telemedicine field, which is one the main branches in eHealth applications. In this work we address the problem of missing samples recovery of such ECG (digital) signals, resulting from temporally-local communication dropouts. We propose a new model for the ECG signal based on its conspicuous quasi-periodical characteristics in short time intervals, along with a compatible estimation procedure tailored to the proposed model. We extend the autoregressive (AR) model, previously proposed by Prieto-Guerrero et al., to a cyclostationary AR model, and our proposed estimation scheme incorporates a first phase of model parameters estimation, followed by a Linear Minimum Mean Squared Error (LMMSE) estimation phase of the missing samples. We demonstrate significant improvement compared to the AR method in simulation experiments using real ECG data.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages930-934
Number of pages5
ISBN (Print)9781538646588
DOIs
StatePublished - 10 Sep 2018
Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada
Duration: 15 Apr 201820 Apr 2018

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2018-April
ISSN (Print)1520-6149

Conference

Conference2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
Country/TerritoryCanada
CityCalgary
Period15/04/1820/04/18

Funding

FundersFunder number
Yitzhak and Chaya Weinstein Research Institute for Signal Processing

    Keywords

    • Cyclostationary
    • ECG
    • LMMSE estimation
    • Missing samples recovery

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