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Design of Neural Network Based IEF Filter for Time-varying Control of Incremental Factor  

박상희 (금오공과대학교 전자공학부)
최한고 (금오공과대학교 전자공학부)
Publication Information
Journal of Biomedical Engineering Research / v.23, no.5, 2002 , pp. 333-340 More about this Journal
Abstract
Powerline interference in bioelectric recordings is a common source of noise. IEF(Incremental Estimation Filter) has been used to eliminate powerline interferences in biosignals, especially in ECG(Electrocadiogram) signals. The constant incremental factor in the IEF filter, which affects the performance of noise rejection, is usually determined empirically or experimentally based on the input signals. This paper presents the design of neural network based IEF filter for time-varying control of the incremental factor. The proposed IEF filter is evaluated by applying to artificial signals as well as ECG signals of MIT-BIH database. For the relative comparison of noise-rejection performance, it is compared with adaptive noise canceler and conventional IEF filter. Simulation results show that the neural network based IEF filter outperforms these adaptive filters with respect to convergence speed and noise rejection is specific frequencies.
Keywords
Incremental estimation filter Neural networks; Powerline interference; Electrocardiographic signals;
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Times Cited By KSCI : 1  (Citation Analysis)
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