Malayan Colleges Laguna

Mapúa Institute of Technology at Laguna

2019 2nd World Symposium on Communication Engineering
doi: 10.1109/WSCE49000.2019.9041050
Publisher: IEEE

FPGA Based Powerline and Baseline Interference Removal in Electrocardiogram Using Modified EWT-DWT Filtering

Mae M. Garcillanosa*, Alexandra Mae B. Flores, Sheila Mae M. Jala, Airah Josua P. Toleza 

Electronics Engineering Department, Malayan Colleges Laguna, 

Cabuyao City, Philippines 4025

e-mail: mmgarcillanosa@mcl.edu.ph*, alexandramaeflores@gmail.com, smmjala@gmail.com, airahjosua@ymail.com

Abstract- Electrocardiogram is a widely used method in every hospital for identifying the heart condition of the patient. To obtain successful diagnosis, the analysis performed on the signal should be accurate. Hence, in this paper we proposed a modified algorithm for denoising powerline and baseline noise in electrocardiogram signals. The filtering algorithm was modified such as cubic splining was used to modify conventional Empirical Wavelet Transform (EWT) and soft thresholding for the Discrete Wavelet Transform (DWT). The effectiveness of the proposed method was tested in two manners. One is by using the records from Physiobank ATM database ECG recordings, and the other is by using the three lead ECG device to measure the ECG signal from the patient. IoT Maker 1000 FPGA was used for the signal processing since it is intended to be the starting design for a fog-computing server for local processing of ECG signals in a mobile medical service system. An average of 4.69 dB SNR improvement has been achieved using the proposed method of denoising, which proves higher compared to other existing methods such as DWT (2.63 dB) and EWT (4.52 dB). Based on two-factor ANOVA test, the researchers claimed that the proposed method has a significant difference compared with the other two filtering algorithms. The hardware implementation of the proposed algorithm was successfully achieved, and the result is visually comparable to an industrial ECG machine.

Keywords – Edge computing; signal processing; fpga; empirical wavelet transform; discrete wavelet transform

Citation – M. M. Garcillanosa, A. M. B. Flores, S. M. M. Jala and A. J. P. Toleza, “FPGA Based Powerline and Baseline Interference Removal in Electrocardiogram Using Modified EWT-DWT Filtering,” 2019 2nd World Symposium on Communication Engineering (WSCE), 2019, pp. 142-146, doi: 10.1109/WSCE49000.2019.9041050.

Link to the paper