COMPARISON OF ADAPTIVE METHODS TO REMOVE MOTION ARTIFACT

运动伪影是动态ECG记录、EEG记录和依赖于皮肤表面电极的其他记录中的重要噪声源。用于运动伪影减少的现有方法需要耗时的准备和患者不适，并且不总是有效的。我们将研究皮肤阻抗或皮肤拉伸测量与自适应噪声去除的结合使用，以减少ECG记录中的运动伪影，而无需皮肤磨损和相关准备以及患者不适。我们以前使用拉伸传感器信号，以消除运动伪影从心电图时，我们产生的运动伪影在一个受控的设置。在这项研究中，我们将我们以前的工作扩展到门诊记录和比较运动伪影去除皮肤拉伸传感器的基础上，使用皮肤阻抗，自适应地消除运动伪影的更经济的方法的性能。运动伪影的可靠去除将改善依赖于皮肤表面电极的任何监测或诊断系统的性能。拟议的商业应用：该技术具有应用于所有流动BCG记录（霍尔特）系统、压力测试系统、事件记录系统和患者监测系统的潜力。有大量的这样的系统在使用中，因此任何能够显著减少这些记录系统中固有的运动伪影的系统都具有巨大的商业潜力。

Motion artifact is a significant source of noise in ambulatory ECG recordings, EEG recordings, and other recordings that rely on skin surface electrodes. Present methods for motion artifact reduction require time consuming preparation and patient discomfort and are not always effective. We will investigate the use of skin impedance or skin stretch measurements in conjunction with adaptive noise removal to reduce motion artifact in ECG recordings without skin abrasion and the associated preparation and patient discomfort. We have previously used stretch sensor signals to remove motion artifact from ECGs when we generated the motion artifact in a controlled setting. In this study we will extend our previous work to ambulatory recordings and compare the performance of motion artifact removal based on skin stretch sensors to the more economical approach of using skin impedance to adaptively remove motion artifact. Reliable removal of motion artifact will improve the performance of any monitoring or diagnostic system that relies on skin surface electrodes. PROPOSED COMMERCIAL APPLICATIONS: This technology has the potential to be applied to all ambulatory BCG recording (Holter) systems, stress test systems, event recording systems, and patient monitoring systems. There are an enormous number of these systems in use, so any system which can significantly reduce the motion artifact inherent in these recording systems has tremendous commercial potential.