http://iet.metastore.ingenta.com
1887

access icon openaccess Motion artefact removals for wearable ECG using stationary wavelet transform

  • PDF
    616.845703125Kb
  • XML
    42.8076171875Kb
  • HTML
    55.638671875Kb
Loading full text...

Full text loading...

/deliver/fulltext/htl/4/4/HTL.2016.0100.html;jsessionid=6jbm05oaq83tr.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fhtl.2016.0100&mimeType=html&fmt=ahah

References

    1. 1)
      • 1. IEEE Std 802.15.6-2012: ‘IEEE Standard for local and metropolitan area networks – Part 15.6: Wireless Body Area Networks’, 2012.
        .
    2. 2)
      • J. Wang , Q. Wang . (2012)
        2. Wang, J., Wang, Q.: ‘Body area communications’ (Wiley-IEEE, 2012).
        .
    3. 3)
    4. 4)
    5. 5)
      • Y. Kishimoto , Y. Kutsuna , K. Oguri .
        5. Kishimoto, Y., Kutsuna, Y., Oguri, K.: ‘Detecting motion artifact ECG noise during sleeping by means of a tri-axis accelerometer’. Proc. IEEE EMBS, 2007.
        . Proc. IEEE EMBS
    6. 6)
      • F. Strasser , M. Muma , A.M. Zoubir .
        6. Strasser, F., Muma, M., Zoubir, A.M.: ‘Motion artifact removal in ECG signals using multi-resolution thresholding’. Proc. European Signal Processing Conf. (EUSIPCO), 2012, pp. 899903.
        . Proc. European Signal Processing Conf. (EUSIPCO) , 899 - 903
    7. 7)
    8. 8)
    9. 9)
      • T.S. Lugovaya .
        9. Lugovaya, T.S.: ‘Biometric human identification based on electrocardiogram’. Master's thesis, Faculty of Computing Technologies and Informatics, Electrotechnical University ‘LETI’, Saint-Petersburg, Russian Federation, 2005.
        .
    10. 10)
    11. 11)
http://iet.metastore.ingenta.com/content/journals/10.1049/htl.2016.0100
Loading

Related content

content/journals/10.1049/htl.2016.0100
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address