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- W2799087802 abstract "PPG signals plays a prominent role in the diagnosis and analysis of heart rate. PPG signals are corrupted by various types of noise such as power line noise and motion artifacts. In the proposed paper, PPG signals are denoised based on thresholding of wavelet packet coefficients. To show the effectiveness of the proposed method, the results were compared with adaptive filters like Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Recursive Least Square (RLS) filters and Savitzky-Golay filter." @default.
- W2799087802 created "2018-05-07" @default.
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- W2799087802 date "2017-07-01" @default.
- W2799087802 modified "2023-09-27" @default.
- W2799087802 title "Denoising of PPG signal by wavelet packet transform" @default.
- W2799087802 doi "https://doi.org/10.1109/icicict1.2017.8342632" @default.
- W2799087802 hasPublicationYear "2017" @default.
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