Title :
A nonlinear adaptive method of elimination of power line interference in ECG signals
Author :
Ziarani, Alireza K. ; Konrad, Adalbert
Author_Institution :
Edward S. Rogers Sr. Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
fDate :
6/1/2002 12:00:00 AM
Abstract :
A new method of elimination of power line noise in electrocardiogram signals is presented. The proposed method employs, as its main building block, a recently developed signal processing algorithm capable of extracting a specified component of a signal and tracking its variations over time. Design considerations and performance of the proposed method are presented with the aid of computer simulations. Superior performance is observed in terms of effective elimination of noise under conditions of varying powerline interference frequency. The proposed method presents a simple and robust structure which complies with practical constraints involved in the problem such as low computational resource availability and low sampling frequency.
Keywords :
adaptive signal processing; digital simulation; electrocardiography; electromagnetic interference; medical signal processing; power cables; ECG signals; computer simulations; electrodiagnostics; low computational resource availability; low sampling frequency; nonlinear adaptive method; power line interference elimination; signal processing algorithm; varying powerline interference frequency conditions; Availability; Computer simulation; Electrocardiography; Frequency; Interference constraints; Interference elimination; Noise robustness; Sampling methods; Signal processing; Signal processing algorithms; Algorithms; Electric Power Supplies; Electrocardiography; Electromagnetic Fields; Feedback; Humans; Nonlinear Dynamics; Reproducibility of Results; Signal Processing, Computer-Assisted; Time Factors;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2002.1001968