Abstract
The electrocardiogram (ECG) is routinely used for the diagnosis of cardiovascular diseases. The removal of artifacts in ambulatory ECG recordings is essential in many biomedical applications. In this paper, we present the design of an unbiased linear filter with normalized weight coefficients in an adaptive artifact cancellation (UNAAC) system. We also develop a new weight coefficient adaptation algorithm that normalizes the filter coefficients, and utilize the steepest-descent algorithm to effectively cancel the artifacts present in ECG signals. The proposed UNAAC system was tested through experiments on the benchmark MIT-BIH database. Empirical results demonstrate that the UNAAC system can effectively eliminate two types of predominant artifacts: baseline wander and muscle-contraction artifact. Furthermore, the proposed UNAAC system achieved significantly higher signal-to-noise and signal-to-error ratios in the enhanced ECG signals, as compared with the normalized least-mean-square (NLMS) filter.
| Original language | English |
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| Title of host publication | Proc. of 2007 Joint Meet. of the 6th Int. Symp. on Noninvasive Functional Source Imaging of the Brain and Heart and the Int. Conf. on Functional Biomedical Imaging, NFSI and ICFBI 2007 |
| Pages | 173-176 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, NFSI and ICFBI 2007 - Hangzhou, China Duration: 12 Oct 2007 → 14 Oct 2007 |
Publication series
| Name | Proc. of 2007 Joint Meet. of the 6th Int. Symp. on Noninvasive Functional Source Imaging of the Brain and Heart and the Int. Conf. on Functional Biomedical Imaging, NFSI and ICFBI 2007 |
|---|
Conference
| Conference | 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, NFSI and ICFBI 2007 |
|---|---|
| Country/Territory | China |
| City | Hangzhou |
| Period | 12/10/07 → 14/10/07 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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