A 60Hz interference reduction using slope trace waves
Proceedings of the 2009 International Conference on Hybrid Information Technology
An event detection algorithm in ECG with 60Hz interference and baseline wandering
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
DWT based beat rate detection in ECG analysis
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
ECG smoothing and denoising by local quadratic variation reduction
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
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A new two-stage algorithm for electrocardiographic (EGG) signal denoising has been proposed. It combines wavelet shrinkage with Wiener filtering in the translation-invariant wavelet domain. A time-frequency dependent thresholding has been proposed and grounded for obtaining a more adequate signal estimate in the first stage of the algorithm. It is related to ECG signal morphology and hence outperforms other thresholding approaches in this area. The experiments carried out on pathological and normal ECGs have shown better algorithm capabilities in comparison with other thresholding algorithms while suppressing parasite electromyographic (EMG) signals (the noise) and preserving diagnostically important ECG signal features.