Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Korea.
Department of Creative IT Engineering and Future IT Innovation Laboratory, Pohang University of Science and Technology, Pohang 37673, Korea.
Sensors (Basel). 2018 Jun 29;18(7):2086. doi: 10.3390/s18072086.
Electrocardiograms (ECGs) can be conveniently obtained using capacitive ECG sensors. However, motion noise in measured ECGs can degrade R peak detection. To reduce noise, properties of reference signal and ECG measured by the sensors are analyzed and a new method of active noise cancellation (ANC) is proposed in this study. In the proposed algorithm, the original ECG signal at QRS interval is regarded as impulsive noise because the adaptive filter updates its weight as if impulsive noise is added. As the proposed algorithm does not affect impulsive noise, the original signal is not reduced during ANC. Therefore, the proposed algorithm can conserve the power of the original signal within the QRS interval and reduce only the power of noise at other intervals. The proposed algorithm was verified through comparisons with recent research using data from both indoor and outdoor experiments. The proposed algorithm will benefit a noise reduction of noisy biomedical signal measured from sensors.
心电图（ECG）可以使用电容式 ECG 传感器方便地获得。然而，测量 ECG 中的运动噪声会降低 R 波检测的准确性。为了减少噪声，本研究分析了参考信号和传感器测量的 ECG 的特性，并提出了一种新的主动噪声消除（ANC）方法。在提出的算法中，由于自适应滤波器更新其权重，就好像添加了脉冲噪声一样，因此将 QRS 间隔内的原始 ECG 信号视为脉冲噪声。由于提出的算法不影响脉冲噪声，因此在 ANC 期间不会降低原始信号。因此，该算法可以在 QRS 间隔内保持原始信号的功率，并且仅降低其他间隔中的噪声功率。该算法通过与使用来自室内和室外实验的数据的最新研究进行比较得到了验证。该算法将有益于从传感器测量的嘈杂生物医学信号的降噪。
