Title :
Detection and suppression of power-line interference in electrocardiogram signals
Author :
Hu, YH ; Lin, YD
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Wisconsin-Madison, Madison, WI
fDate :
Sept. 30 2007-Oct. 3 2007
Abstract :
A novel power-line interference (PLI) detection and suppression algorithm is proposed to pre-process real-time electrocardiogram (ECG) signals. This algorithm first compares the energy at the harmonic frequency against the energy at neighboring frequencies of the ECG power spectrum, and employs an optimal linear discriminant analysis (LDA) algorithm to determine whether PLI interference exists in the ECG signal. If the presence of PLI is detected, it then applies a recursive least square (RLS) adaptive notch filter to suppress the interference. Extensive simulation results indicate that the algorithm consistently exhibits superior performance in terms of less ECG distortion, faster convergence rate and numerical stability.
Keywords :
electrocardiography; interference suppression; medical signal processing; notch filters; ECG distortion; electrocardiogram signal; harmonic frequency; interference suppression; linear discriminant analysis; neighboring frequency; power-line interference detection; recursive least square adaptive notch filter; Adaptive filters; Electrocardiography; Frequency; Interference suppression; Least squares methods; Linear discriminant analysis; Power harmonic filters; Power system harmonics; Rate distortion theory; Resonance light scattering;
Conference_Titel :
Computers in Cardiology, 2007
Conference_Location :
Durham, NC
Print_ISBN :
978-1-4244-2533-4
Electronic_ISBN :
0276-6547
DOI :
10.1109/CIC.2007.4745544