Title :
Removing power line interference from ECG signal using adaptive filter and notch filter
Author :
Biswas, Utpal ; Maniruzzaman, Md
Author_Institution :
Electron. & Commun. Eng. Discipline, Khulna Univ., Khulna, Bangladesh
Abstract :
Performance of two adaptive filters, such as, normalized least-mean-square (NLMS) adaptive filter and recursive-least-square (RLS) adaptive filter are compared with a traditional notch filter both in time and frequency domains to remove the power line interference from the ECG signal. The power spectral density (PSD) and spectrogram analyses are also performed. Different performance parameters, such as, SNR, %PRD and MSE are also calculated. Real time recorded data from the benchmark MIT-BIH arrhythmia database has been used. The result demonstrates superior performance of adaptive NLMS filter for removing power line interference over adaptive RLS and notch filters.
Keywords :
adaptive filters; diseases; electrocardiography; medical signal processing; notch filters; spectral analysis; ECG signal; MSE; PRD; SNR; adaptive NLMS filter; adaptive RLS; adaptive filter; benchmark MIT-BIH arrhythmia database; frequency domains; normalized least-mean-square adaptive filter; notch filter; performance parameters; power line interference removal; power spectral density; recursive-least-square adaptive filter; spectrogram analysis; time domains; Adaptive filters; Digital filters; Electrocardiography; IIR filters; Interference; Noise measurement; Signal to noise ratio; ECG signal; PSD; adaptive NLMS filter; power line interferrence; spectrogram;
Conference_Titel :
Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-4820-8
DOI :
10.1109/ICEEICT.2014.6919072