Thakor N V, Zhu Y S
Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205.
IEEE Trans Biomed Eng. 1991 Aug;38(8):785-94. doi: 10.1109/10.83591.
Several adaptive filter structures are proposed for noise cancellation and arrhythmia detection. The adaptive filter essentially minimizes the mean-squared error between a primary input, which is the noisy ECG, and a reference input, which is either noise that is correlated in some way with the noise in the primary input or a signal that is correlated only with ECG in the primary input. Different filter structures are presented to eliminate the diverse forms of noise: baseline wander, 60 Hz power line interference, muscle noise, and motion artifact. An adaptive recurrent filter structure is proposed for acquiring the impulse response of the normal QRS complex. The primary input of the filter is the ECG signal to be analyzed, while the reference input is an impulse train coincident with the QRS complexes. This method is applied to several arrhythmia detection problems: detection of P-waves, premature ventricular complexes, and recognition of conduction block, atrial fibrillation, and paced rhythm.
提出了几种自适应滤波器结构用于噪声消除和心律失常检测。自适应滤波器本质上是使主输入（即有噪声的心电图）与参考输入之间的均方误差最小化，参考输入要么是与主输入中的噪声以某种方式相关的噪声，要么是仅与主输入中的心电图相关的信号。提出了不同的滤波器结构来消除各种形式的噪声：基线漂移、60Hz 电力线干扰、肌肉噪声和运动伪迹。提出了一种自适应递归滤波器结构来获取正常 QRS 复合波的脉冲响应。滤波器的主输入是待分析的心电图信号，而参考输入是与 QRS 复合波重合的脉冲序列。该方法应用于几个心律失常检测问题：P 波检测、室性早搏复合波检测以及传导阻滞、心房颤动和起搏心律的识别。
