R-R interval prediction for adaptive sensing of ECG signal using robust regression

Michal Momot; Alina Momot; Ewelina Piekar

doi:10.1109/SPS.2015.7168280

R-R interval prediction for adaptive sensing of ECG signal using robust regression

Michal Momot
, Alina Momot
, Ewelina Piekar

Department of Applied Informatics (RAU/RAU7)

Institute of Medical Technology and Equipment

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The paper presents the concept of selective transmission of the ECG signal between the recorder located on the body of the monitored person and the mobile device. This concept is based on the possibility of energy saving by transmitting only necessary parts of signal. For the ECG, the most important data consist of waves P-QRS-T waves, located only in a neighborhood of the central point on timeline. This suggests methods of predicting the position of the center points of subsequent cardiac cycles in order to select fragments to be transmitted. The paper proposes use of the regression function to determine the positions of these points on the basis of a finite number of values recorded in recent history. The parameters of the regression function are selected using an algorithm of robust estimation.

Original language	English
Title of host publication	2015 Signal Processing Symposium, SPSympo 2015
Editors	Anna Kurowska, Jacek Misiurewicz, Krzysztof Rozanowski, Olaf Truszczynski
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9788377981603
DOIs	https://doi.org/10.1109/SPS.2015.7168280
Publication status	Published - 27 Jul 2015
Event	Signal Processing Symposium, SPSympo 2015 - Debe, Poland Duration: 10 Jun 2015 → 12 Jun 2015

Publication series

Name	2015 Signal Processing Symposium, SPSympo 2015

Conference

Conference	Signal Processing Symposium, SPSympo 2015
Country/Territory	Poland
City	Debe
Period	10/06/15 → 12/06/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Low-power signal transmission
prediction of R-wave occurence
robust regression

ASJC Scopus subject areas

Signal Processing

Access to Document

10.1109/SPS.2015.7168280

Cite this

Momot, M., Momot, A., & Piekar, E. (2015). R-R interval prediction for adaptive sensing of ECG signal using robust regression. In A. Kurowska, J. Misiurewicz, K. Rozanowski, & O. Truszczynski (Eds.), 2015 Signal Processing Symposium, SPSympo 2015 Article 7168280 (2015 Signal Processing Symposium, SPSympo 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPS.2015.7168280

Momot, Michal ; Momot, Alina ; Piekar, Ewelina. / R-R interval prediction for adaptive sensing of ECG signal using robust regression. 2015 Signal Processing Symposium, SPSympo 2015. editor / Anna Kurowska ; Jacek Misiurewicz ; Krzysztof Rozanowski ; Olaf Truszczynski. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 Signal Processing Symposium, SPSympo 2015).

@inproceedings{c62715622fb843989f2c4e1bf7bb0042,

title = "R-R interval prediction for adaptive sensing of ECG signal using robust regression",

abstract = "The paper presents the concept of selective transmission of the ECG signal between the recorder located on the body of the monitored person and the mobile device. This concept is based on the possibility of energy saving by transmitting only necessary parts of signal. For the ECG, the most important data consist of waves P-QRS-T waves, located only in a neighborhood of the central point on timeline. This suggests methods of predicting the position of the center points of subsequent cardiac cycles in order to select fragments to be transmitted. The paper proposes use of the regression function to determine the positions of these points on the basis of a finite number of values recorded in recent history. The parameters of the regression function are selected using an algorithm of robust estimation.",

keywords = "Low-power signal transmission, prediction of R-wave occurence, robust regression",

author = "Michal Momot and Alina Momot and Ewelina Piekar",

note = "Publisher Copyright: {\textcopyright} 2015 Warsaw University of Technology.; Signal Processing Symposium, SPSympo 2015 ; Conference date: 10-06-2015 Through 12-06-2015",

year = "2015",

month = jul,

day = "27",

doi = "10.1109/SPS.2015.7168280",

language = "English",

series = "2015 Signal Processing Symposium, SPSympo 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Anna Kurowska and Jacek Misiurewicz and Krzysztof Rozanowski and Olaf Truszczynski",

booktitle = "2015 Signal Processing Symposium, SPSympo 2015",

address = "United States",

}

Momot, M, Momot, A & Piekar, E 2015, R-R interval prediction for adaptive sensing of ECG signal using robust regression. in A Kurowska, J Misiurewicz, K Rozanowski & O Truszczynski (eds), 2015 Signal Processing Symposium, SPSympo 2015., 7168280, 2015 Signal Processing Symposium, SPSympo 2015, Institute of Electrical and Electronics Engineers Inc., Signal Processing Symposium, SPSympo 2015, Debe, Poland, 10/06/15. https://doi.org/10.1109/SPS.2015.7168280

R-R interval prediction for adaptive sensing of ECG signal using robust regression. / Momot, Michal; Momot, Alina; Piekar, Ewelina.
2015 Signal Processing Symposium, SPSympo 2015. ed. / Anna Kurowska; Jacek Misiurewicz; Krzysztof Rozanowski; Olaf Truszczynski. Institute of Electrical and Electronics Engineers Inc., 2015. 7168280 (2015 Signal Processing Symposium, SPSympo 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - R-R interval prediction for adaptive sensing of ECG signal using robust regression

AU - Momot, Michal

AU - Momot, Alina

AU - Piekar, Ewelina

PY - 2015/7/27

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N2 - The paper presents the concept of selective transmission of the ECG signal between the recorder located on the body of the monitored person and the mobile device. This concept is based on the possibility of energy saving by transmitting only necessary parts of signal. For the ECG, the most important data consist of waves P-QRS-T waves, located only in a neighborhood of the central point on timeline. This suggests methods of predicting the position of the center points of subsequent cardiac cycles in order to select fragments to be transmitted. The paper proposes use of the regression function to determine the positions of these points on the basis of a finite number of values recorded in recent history. The parameters of the regression function are selected using an algorithm of robust estimation.

AB - The paper presents the concept of selective transmission of the ECG signal between the recorder located on the body of the monitored person and the mobile device. This concept is based on the possibility of energy saving by transmitting only necessary parts of signal. For the ECG, the most important data consist of waves P-QRS-T waves, located only in a neighborhood of the central point on timeline. This suggests methods of predicting the position of the center points of subsequent cardiac cycles in order to select fragments to be transmitted. The paper proposes use of the regression function to determine the positions of these points on the basis of a finite number of values recorded in recent history. The parameters of the regression function are selected using an algorithm of robust estimation.

KW - Low-power signal transmission

KW - prediction of R-wave occurence

KW - robust regression

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DO - 10.1109/SPS.2015.7168280

M3 - Conference contribution

AN - SCOPUS:84945952352

T3 - 2015 Signal Processing Symposium, SPSympo 2015

BT - 2015 Signal Processing Symposium, SPSympo 2015

A2 - Kurowska, Anna

A2 - Misiurewicz, Jacek

A2 - Rozanowski, Krzysztof

A2 - Truszczynski, Olaf

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Signal Processing Symposium, SPSympo 2015

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Momot M, Momot A, Piekar E. R-R interval prediction for adaptive sensing of ECG signal using robust regression. In Kurowska A, Misiurewicz J, Rozanowski K, Truszczynski O, editors, 2015 Signal Processing Symposium, SPSympo 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7168280. (2015 Signal Processing Symposium, SPSympo 2015). doi: 10.1109/SPS.2015.7168280

R-R interval prediction for adaptive sensing of ECG signal using robust regression

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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