Noise Reduction in High Resolution ECG by Using Frequency-domain Adaptive Filtering

In this paper a frequency-domain least-mean-square adaptive filter (FDLMS) is used to cancel noise in real time recording of the high resolution ECG (HRECG). In this paper, beside the classical FDLMS solutions, an application of the network of the time sequenced adaptive recurrent filter is shown. Such a filter requires of an additional synchronisatian algorithm, however, is able to tract rapidly varying nonstationarities without smoothing effect and therefore can be used for dynamically changing ECG signals. The results of our experiment show the importance of using digital signal processing when dealing with HRECG signal corrupted by noise.