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.
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Batra, P., Kapoor, R., Singhal, R. (2011). Noise Cancellation Using Adaptive Filter for Bioimpedance Signal. In: Das, V.V., Thankachan, N. (eds) Computational Intelligence and Information Technology. CIIT 2011. Communications in Computer and Information Science, vol 250. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25734-6_48
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DOI: https://doi.org/10.1007/978-3-642-25734-6_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25733-9
Online ISBN: 978-3-642-25734-6
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