| Title | Removal of Powerline Interference from ECG Signal using FIR, IIR, DWT and NLMS Adaptive Filter |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Saxena, Shubhankar, Jais, Rohan, Hota, Malaya Kumar |
| Conference Name | 2019 International Conference on Communication and Signal Processing (ICCSP) |
| Keywords | adaptive filtering, adaptive filters, discrete wavelet transform, Discrete Wavelet Transform (DWT), discrete wavelet transforms, DWT, ECG signal denoising, Electrocardiogram (ECG), Electrocardiography, filtering algorithms, finite impulse response filter, Finite impulse response filters, Finite Impulse Response(FIR), FIR filter, FIR filters, IIR filter, IIR filters, infinite impulse response filter, Infinite Impulse Response(IIR), interference (signal), least mean squares methods, medical signal processing, Metrics, NLMS adaptive filter, Normalized Least Mean Square Adaptive Filter(NLMS), Normalized Least Mean Square filter, Power line Interference (PLI), powerline interference removal, pubcrawl, Resiliency, Scalability, signal denoising |
| Abstract | ECG signals are often corrupted by 50 Hz noise, the frequency from the power supply. So it becomes quite necessary to remove Power Line Interference (PLI) from the ECG signal. The reference ECG signal data was taken from the MIT-BIH database. Different filtering techniques comprising of Discrete Wavelet Transform (DWT), Normalized Least Mean Square (NLMS) filter, Finite Impulse Response (FIR) filter and Infinite Impulse Response (IIR) filter were used in this paper for denoising the ECG signal which was corrupted by the PLI. Later, the comparison was made among the methods, to find the best methodology to denoise the corrupted ECG signal. The parameters that were used for the comparison are Mean Square Error (MSE), Mean Absolute Error (MAE), Signal to Noise Ratio (SNR) and Peak Signal to Noise Ratio (PSNR). Higher values of SNR & PSNR and lower values of MSE & MAE define the best denoising algorithm. |
| DOI | 10.1109/ICCSP.2019.8698112 |
| Citation Key | saxena_removal_2019 |
Removal of Powerline Interference from ECG Signal using FIR, IIR, DWT and NLMS Adaptive Filter