A new adaptive coherent model algorithm effectively removes 50/60 Hz power-line interference from biomedical signals and is suitable for microprocessor-based instruments.
A new adaptive coherent model algorithm for removal of power-line interference in biomedical signals is presented in this paper. Because most biomedical signals are extremely weak, interference from the environment, especially power-line interference, is often much stronger than the signal to be measured. Therefore, how to eliminate or reduce the effect of 50/60 Hz interference has been one of the most important problems in biomedical signal measurement. The primary idea presented in this paper is: based on signal coherent quality, to establish an adaptive interference model using the original signal itself; then to subtract the interference model from the original signal so as to eliminate power-line interference. This adaptive coherent model method has been proven with on-line as well as off-line experiments, and has satisfactory effect for removal of power-line interference in physiological signal measurement. The algorithm is simple, saves time, and can be used in a microprocessor-based instrument.
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Li et al. (1995) studied this question.
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