Lin Shaojie, Lai Lijuan, Wu Xiaoming
Department of Biomedical Engineering, South China University of Technology, Guangzhou 510006, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010 Jun;27(3):529-32, 543.
Motion artifact is a significant source of noise in ambulatory physiologic signals and can affect the diagnoses seriously. To cope with this problem, we adopted certain methods for removing motion artifact from ECG signals via synchronous acquisition of the elector/skin impedance as the reference signal of adaptive filter. The results demonstrated that 3rd order RLS adaptive filter can remove the baseline shift effectively with an exciting current of 120 Hz and 50 microA. Such system was implemented to investigate the utility of ambulatory heart rate monitoring, which provides convenient and reliable monitoring services for patients.
运动伪影是动态生理信号中噪声的一个重要来源，会严重影响诊断结果。为解决这一问题，我们采用了某些方法，通过同步采集电极/皮肤阻抗作为自适应滤波器的参考信号来去除心电图信号中的运动伪影。结果表明，三阶递归最小二乘（RLS）自适应滤波器在120 Hz激励电流和50微安的情况下能够有效消除基线漂移。实施该系统以研究动态心率监测的效用，它为患者提供了方便可靠的监测服务。
