Noise Cancellation Using Adaptive Filter for Bioimpedance Signal
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.
KeywordsElectrical bioimpedance Complex bioimpedance signal processing adaptive filtering biomodulation least mean square
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