Advertisement

Noise Cancellation Using Adaptive Filter for Bioimpedance Signal

  • Padma Batra
  • Rajiv Kapoor
  • Rakhi Singhal
Part of the Communications in Computer and Information Science book series (CCIS, volume 250)

Abstract

This paper presents a new method for adaptive filtering of a signal obtained from measurement of bioelectrical impedance of the human muscles. In our application, four electrodes were used for detecting the changes in movement of muscles. A bioimpedance signal can be simulated by the combination of respiratory component and cardiac component. LMS algorithm for adaptive filtering is used to eliminate the noise from bioimpedance signal. Thereafter the rms value of the bioimpedance is calculated using MatLab.

Keywords

Electrical bioimpedance Complex bioimpedance signal processing adaptive filtering biomodulation least mean square 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Grimnes, S., Martinsen, O.G.: Bioimpedance and Bioelectricity Basics. Academic, San Diego (2000)Google Scholar
  2. 2.
    Nebuya, S., Brown, B.H., Smallwood, R.H., Milnes, P., Waterworth, A.R., Noshiro, M.: Measurement of high frequency electrical transfer impedances from biological tissues. Electron. Lett. 35(23), 1985–1987 (1999)CrossRefGoogle Scholar
  3. 3.
    Cademartiri, F., Mollet, N.R., Runza, G., et al.: Improving Diagnostic Accuracy of MDCT Coronary Angiography in Patients with Mild Heart Rhythm Irregularities Using ECG Editing. American Journal of Roentgenology 186, 634–638 (2006)CrossRefGoogle Scholar
  4. 4.
    Krivoshei, A.: A Bio-Impedance Signal Synthesiser(BISS) for Testing of an Adaptive Filtering System. In: Proc.of Baltic Electronics Conference BEC 2006, Estonia, pp. 225–228 (October 2006)Google Scholar
  5. 5.
    Haykin, S.: Neural Networks: A Comprehensive Foundation, 2nd edn. Prentice Hall (1998)Google Scholar
  6. 6.
    Thakor, N.V., Zhu, Y.-S.: Applications of adaptive filtering to ECG analysis: Noise cancellation and arrhythmia detection. IEEE Trans. BioBiomed., Eng. 38, 785–789 (1991)CrossRefGoogle Scholar
  7. 7.
    Tong, D.A., Bartels, K.A., Honeyager, K.S.: Adaptive reduction of motion artifact in the electrocardiogram. In: Proceedings of the Second Joint EMBS/BMES Conference, pp. 1401–1404 (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Padma Batra
    • 1
  • Rajiv Kapoor
    • 2
  • Rakhi Singhal
    • 3
  1. 1.Mewar UniversityChittorgarhIndia
  2. 2.Delhi Technological UniversityDelhiIndia
  3. 3.Krishna Institute of Engineering and TechnologyGhaziabadIndia

Personalised recommendations