Session P77.1

Detection and Suppression of Power-Line Interference in Electrocardiogram Signals

YH Hu, YD Lin*

Feng Chia University
Taichung, Taiwan

A novel power-line interference (PLI) reduction algorithm is proposed as a pre-processing step for 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. We propose a novel PLI detector that is both accurate and robust. It 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 make a decision. No PLI suppression operation will be performed if it is not detected. If the presence of PLI is detected, it will be suppressed by passing the compromised ECG signal through a notch filter. Moreover, since the PLI frequency may jitter in time, we developed a novel recursive least-squares (RLS) adaptive algorithm to track the PLI frequency jitter. The proposed PLI detection algorithm has been tested using the MIT-BIH arrhythmia database. Both sensitivity and specificity of the detection results are nearly 100%. Extensive simulation results also indicate that the proposed RLS adaptive notch filtering algorithm consistently exhibits computing efficiency, fast convergence and numerical stability.

(Abstract Control Number: 202)