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)


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.


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


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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

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