Key result
A digital filtering algorithm integrating smoothing and Kalman filtering effectively inhibited narrow-band interference and fluctuation noise in ECG signals while ensuring real-time processing speed.
A fused smoothing and Kalman filtering algorithm effectively reduces ECG signal noise while maintaining real-time processing capabilities.
Digital filtering algorithm integrated by smoothing filtering and Kalman filtering is used to inhibit the narrow-band interference and fluctuation noise caused by power line interference, EMG interference and internal noise. Filtering algorithm proves to be very effective with the comparison of SNR gain, cross-correlation coefficient and mean square error. The advantage of time-domain filtering can ensure the processing speed of real-time application.
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Li et al. (2012) studied ECG signal interference. Digital filtering algorithm integrated by smoothing filtering and Kalman filtering was evaluated on SNR gain, cross-correlation coefficient and mean square error. A digital filtering algorithm integrating smoothing and Kalman filtering effectively inhibited narrow-band interference and fluctuation noise in ECG signals while ensuring real-time processing speed.
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