global-journal-of-computer-science-and-technology-c-software-data-engineering Global Journal of Computer Science and Technology - C: Software & Data Engineering 0975-4350 0975-4172 Global Journals Publishing Group Incorporated 55349 Removal of Power Line Interference from Electrocardiograph (ECG) using Proposed Adaptive Filter Algorithm LuongDuong Trong ThuanNguyen Duc HoangDang Huy VIETNAM, Hanoi University of science and Technology 15 01 2015 15 C2 11 14

ECG signals in measurements are contaminated by noises including power line interference. In recent years, adaptive filters with different approaches have been investigated to remove power line interference in ECG.In this paper, an adaptive filter is proposed to cancel power line interference in ECG signals. The proposed algorithm is experimented with MIT-BIH ECG signals data base. The algorithm’s results are compared with the results of other adaptive filter algorithms using Least Mean Square (LMS), Normalized Least Mean Square (NLMS) by Signal to Noise (SNR). Theses works are performed by LabVIEW software.

 ECG signal processing; adaptive filters power line interference least mean square. Full Text

ECG signals in measurements are contaminated by noises including power line interference. In recent years, adaptive filters with different approaches have been investigated to remove power line interference in ECG.In this paper, an adaptive filter is proposed to cancel power line interference in ECG signals. The proposed algorithm is experimented with MIT-BIH ECG signals data base. The algorithm’s results are compared with the results of other adaptive filter algorithms using Least Mean Square (LMS), Normalized Least Mean Square (NLMS) by Signal to Noise (SNR). Theses works are performed by LabVIEW software.