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Removing 0.5 Hz Baseline Wander From ECG Signal Using Multistage Adaptive Filter | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 29, Issue 11, 2011, Pages 2312-2328 PDF (492.22 K) | ||
| DOI: 10.30684/etj.29.11.18 | ||
| Author | ||
| H. H. Abbas | ||
| Abstract | ||
| This paper deals with the implementation of software system to remove 0.5 Hz baseline wander noise from the ECG signal using multistage adaptive filter. At start, a single stage adaptive filter has been implemented and the performance of the implemented system has been checked for changing the values of noise levels, the convergence factor of the adaptive algorithm, and the length of the adaptive filter. From testing results it is clear that the performance of the implemented system changes by the above factors values. Then an adaptive filter with the best values for the above factors has been used as a prototype to build multistage filter. The resulted multistage adaptive filter has been tested to prove its capability to remove 0.5 Hz baseline wander noise as compared with single stage adaptive filter. From testing results, it is clear that multistage filter gives better results than single stage filter. | ||
| Keywords | ||
| adaptive filtering; ECG signal; Baseline wander noise; LMS algorithm | ||
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