| An algorithm for evaluating the performance of adaptive filters for the removal of artifacts in ECG signals | |
| Wu, Y. F. ; Wu YF(吴云峰) ; Rangayyan, R. M. | |
| 2013-12-12 | |
| 关键词 | adaptive filters ECG entropy correlation coefficient |
| 英文摘要 | Filtering electrocardiogram (ECG) signals calls for a filter whose impulse response can be automatically adjusted according to the varying characteristics of the signal and artifacts. In order to eliminate effectively the artifacts in ECG signals, we propose the unbiased linear artificial neural network (ULANN) as a new type of adaptive filter. This paper compares the performance of the ULANN filter with the prevailing least-mean-squares (LMS) and recursive-least-squares (RLS) adaptive filters, for the removal of artifacts in noisy ECG signals. The measures of performance include the root-mean-squared error, a normalized correlation coefficient (NCC), and entropy. A template derived from each ECG signal is used as a reference to derive the measures. The NCC values for the ULANN, LMS, and RLS filter, averaged over 22 ECG signals, are 0.9956 +/- 0.0022, 0.9948 +/- 0.0020, and 0.9940 +/- 0.0026, respectively. The results indicate that the ULANN filter provides filtered signals with the highest waveshape fidelity among the three filters studied. |
| 语种 | 英语 |
| 内容类型 | 期刊论文 |
| 源URL | [http://dspace.xmu.edu.cn/handle/2288/70736]  |
| 专题 | 信息技术－已发表论文 |
| 推荐引用方式 GB/T 7714 | Wu, Y. F.,Wu YF,Rangayyan, R. M.. An algorithm for evaluating the performance of adaptive filters for the removal of artifacts in ECG signals[J],2013. |
| APA | Wu, Y. F.,吴云峰,&Rangayyan, R. M..(2013).An algorithm for evaluating the performance of adaptive filters for the removal of artifacts in ECG signals.. |
| MLA | Wu, Y. F.,et al."An algorithm for evaluating the performance of adaptive filters for the removal of artifacts in ECG signals".(2013). |
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