Title :
Power-Line Interference Detection and Suppression in ECG Signal Processing
Author :
Lin, Yue-Der ; Hu, Yu Hen
Author_Institution :
Feng Chia Univ., Taichung
Abstract :
A novel power-line interference (PLI) detection and suppression algorithm is presented to preprocess the electrocardiogram (ECG) signals. A distinct feature of this proposed algorithm is its ability to detect the presence of PLI in the ECG signal before applying the PLI suppression algorithm. No PLI suppression operation will be performed if PLI is not detected. We propose a PLI detector that employs an optimal linear discriminant analysis (LDA) algorithm to make a decision for the PLI presence. An efficient recursive least-squares (RLS) adaptive notch filter is also developed to serve the purpose of PLI suppression. Experimental results demonstrate superior performance of this proposed algorithm.
Keywords :
adaptive filters; electrocardiography; feature extraction; interference suppression; least squares approximations; medical signal processing; notch filters; recursive filters; ECG signal processing; adaptive notch filter; electrocardiogram signals; interference suppression; linear discriminant analysis algorithm; power-line interference detection; recursive least-squares; Adaptive filters; Band pass filters; Biomedical signal processing; Electrocardiography; Frequency; Interference suppression; Linear discriminant analysis; Narrowband; Signal processing; Signal processing algorithms; Electrocardiogram (ECG); linear discriminant analysis (LDA); power-line interference (PLI); recursive least squares (RLS); Algorithms; Arrhythmias, Cardiac; Artifacts; Diagnosis, Computer-Assisted; Electricity; Electrocardiography; Humans; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2007.902234