Author:
Raj R. Mohan,Rajesh Vemula,Saravanan S.,Balaji M. Sundar Prakash,Elamaran V.
Reference15 articles.
1. Singhal, A., Singh, P., Fatimah, B., Pachori, R.B.: An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique. Biomed. Signal Process. Control 57(101741), 1–8 (2020)
2. Bahaz, M., Benzid, R.: Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series. Australas. Phys. Eng. Sci. Med. 41(1), 143–160 (2018). https://doi.org/10.1007/s13246-018-0623-1
3. Mateo, J., Sanchez-Morla, E.M., Santos, J.L.: A new method for removal of powerline interference in ECG and EEG recordings. Comput. Electr. Eng. 45, 235–248 (2015)
4. Pinto, J.R., Cardoso, J.S., Lourenco, A.: Evolution, current challenges, and future possibilities in ECG biometrics. IEEE Access 6, 34746–34776 (2018)
5. Balaji, M.S.P., Jayabharathy, R., Martın, B., Parvathy, A., Shriram, R.K.A., Elamaran, V.: Exploring modern digital signal processing techniques on physiological signals in day-to-day life applications. J. Med. Imaging Health Inform. 10, 93–98 (2020)
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. High-Speed FPGA Realiztion of Infinite Immpulse Response Filter;2023 International Conference on Engineering Applied and Nano Sciences (ICEANS);2023-10-25
2. A Case Study using Simple Moving Average Filters to accomplish ECG denoising on an FPGA;2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS);2023-03-17
3. Reconfigurable Architectures with High-Frequency Noise Suppression for Wearable ECG Devices;Journal of Healthcare Engineering;2021-12-22