Skip to main content
SpringerLink
Log in

Motion artifact detection in respiratory signals based on Teager energy operator and accelerometer signals

  • Conference paper
  • First Online:
EMBEC & NBC 2017 (EMBEC 2017, NBC 2017)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 65))

Abstract

Growing number of applications in which respiratory activity could be measured during natural functioning of patients amplifies the need for replacement of spirometric or pneumotachometric testing with other, indirect methods. One of them, impedance pneumography, thanks to the use of electrodes mounted on the chest, can produce signals distorted by motion artifacts. Since the subject of detection and removal of artifacts from impedance pneumography signals had not been properly studied yet, we proposed a real-time method based on the Kaiser-Teager energy operator and 3-axis accelerometer signals. 24 participants were asked to follow a breathing protocol involving imitating sleep-time changes in body position and sleeping normally. Compared to manual marking, we obtained \(81.3\%\) accuracy (\(80.9\%\) sensitivity and \(81.6\%\) specificity) for the optimal combination of coefficients used to estimate the threshold level based on the operator and accelerometer signals.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Koivumaki, T., Vauhkonen, M., Kuikka, J.T.: Hakulinen M a. Bioimpedance-based measurement method for simultaneous acquisition of respiratory and cardiac gating signals Physiol Meas. 33, 1323–1334 (2012)

    Google Scholar 

  2. Roebuck, A., Monasterio, V., Gederi, E., et al.: A review of signals used in sleep analysis Physiol Meas. 35, R1–R57 (2013)

    Google Scholar 

  3. Seppa Ville-Pekka, Pelkonen Anna S, Kotaniemi-Syrjanen Anne, Viik Jari, Makela Mika J, Malmberg L Pekka. Tidal flow variability measured by impedance pneumography relates to childhood asthma risk. Eur Respir J. 2016:1–10

    Google Scholar 

  4. Malmberg Leo Pekka, Seppa Ville-Pekka, Kotaniemi-Syrjanen Anne, et al. Measurement of tidal breathing flows in infants using impedance pneumography Eur Respir J. 2016:1600926

    Google Scholar 

  5. Młyńczak Marcel, Cybulski Gerard. Decomposition of the Cardiac and Respiratory Components from Impedance Pneumography Signals in Proc 10th Int Joint Conf Biomed Eng Systems and Technol (BIOSTEC 2017) - Vol 4: BIOSIGNALS:26–33SCITEPRESS 2017

    Google Scholar 

  6. Ville-Pekka, Seppa, Jari, Hyttinen, Jari, Viik: A method for suppressing cardiogenic oscillations in impedance pneumography. Physiol Meas. 32, 337–345 (2011)

    Article  Google Scholar 

  7. Młyńczak Marcel, Cybulski Gerard. Improvement of Body Posture Changes Detection During Ambulatory Respiratory Measurements Using Impedance Pneumography Signals in XIV Mediterranean Conf on Med and Biol Eng and Comput MEDICON:167–171Springer International Publishing 2016

    Google Scholar 

  8. Reddy K Ashoka, Kumar V Jagadeesh. Motion artifact reduction in photoplethysmographic signals using singular value decomposition in Proc Instrumentation and Measurement Technology:1–4IEEE 2007

    Google Scholar 

  9. Boreom, Lee, Jonghee, Han: Baek Hyun Jae, Shin Jae Hyuk, Park Kwang Suk, Yi Won Jin. Improved elimination of motion artifacts from a photoplethysmographic signal using a Kalman smoother with simultaneous accelerometry Physiol Meas. 31, 1585 (2010)

    Google Scholar 

  10. Sardar, Ansari, Kevin, Ward, Kayvan, Najarian: Motion Artifact Suppression in Impedance Pneumography Signal for Portable Monitoring of Respiration: an Adaptive Approach IEEE J Biomed Health. 11, 1–1 (2016)

    Google Scholar 

  11. Młyńńczak Marcel, Niewiadomski Wiktor, Żyliński Marek, Cybulski Gerard. Ambulatory Devices Measuring Cardiorespiratory Activity with Motion in Proc 10th Int Joint Conf Biomed Eng Systems and Technol (BIOSTEC 2017) - Vol 1: BIODEVICES:91–76SCITEPRESS 2017

    Google Scholar 

  12. Seppa Ville Pekka: Hyttinen Jari, Uitto Marko, Chrapek Wojciech, Viik Jari. Novel electrode configuration for highly linear impedance pneumography Biomed Eng-Biomed Tech. 58, 35–38 (2013)

    Google Scholar 

  13. Kaiser James F. Some useful properties of Teager’s energy operators in Int Conf Acoustics, Speech, and Signal Processing;3:149–152IEEE 1993

    Google Scholar 

  14. Stanislaw, Solnik, Patrick, Rider, Ken, Steinweg, Paul, DeVita, Tibor, Hortobágyi: Teager-Kaiser energy operator signal conditioning improves EMG onset detection Eur J Appl Physiol. 110, 489–498 (2010)

    Google Scholar 

  15. Atit M, Hagan J, Bansal S, et al. EEG burst detection: Performance evaluation in 21st Annual Conf BMES/EMBS;1:441IEEE 1999

    Google Scholar 

  16. Xiaoyan, Li, Ping, Zhou: Aruin Alexander S. Teager-Kaiser energy operation of surface EMG improves muscle activity onset detection Ann Biomed Eng. 35, 1532–1538 (2007)

    Google Scholar 

  17. Kvedalen Eivind. Signal processing using the Teager energy operator and other nonlinear operators Master Thesis, University of Oslo Department of Informatics. 2003;21

    Google Scholar 

  18. Sabir Mohannad K. PCG signal analysis using teager energy operator & autocorrelation function in Int Conf Computer Med Appl (ICCMA):1–7IEEE 2013

    Google Scholar 

  19. Xiaotong, Wen, Mingxuan, Kang, Li, Yao, Xiaojie, Zhao: Real-time ballistocardiographic artifact reduction using the k-teager energy operator detector and multi-channel referenced adaptive noise cancelling Int J Imag Syst Tech. 26, 209–215 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Warsaw University of Technology, Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, Warsaw, Poland

    Marcel Młyńczak

  2. Polish Academy of Sciences, Mossakowski Medical Research Center, Department of Applied Physiology, Warsaw, Poland

    Gerard Cybulski

Authors
  1. Marcel Młyńczak
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gerard Cybulski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marcel Młyńczak .

Editor information

Editors and Affiliations

  1. Tampere University of Technology, BioMediTech Institute and Faculty of Biomedical Science and Engineering, Tampere, Finland

    Hannu Eskola

  2. Tampere University of Technology, BioMediTech Institute and Faculty of Biomedical Science and Engineering, Tampere, Etelä-Suomi, Finland

    Outi Väisänen

  3. Tampere University of Technology, BioMediTech Institute and Faculty of Biomedical Science and Engineering, Tampere, Etelä-Suomi, Finland

    Jari Viik

  4. Tampere University of Technology, BioMediTech Institute and Faculty of Biomedical Science and Engineering, Tampere, Etelä-Suomi, Finland

    Jari Hyttinen

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Młyńczak, M., Cybulski, G. (2018). Motion artifact detection in respiratory signals based on Teager energy operator and accelerometer signals. In: Eskola, H., Väisänen, O., Viik, J., Hyttinen, J. (eds) EMBEC & NBC 2017. EMBEC NBC 2017 2017. IFMBE Proceedings, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-10-5122-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-5122-7_12

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5121-0

  • Online ISBN: 978-981-10-5122-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation