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Non-linear fit of a 6 skewed Gaussian template for filtering, compression and clinical identification of the ECG using a DSP wireless setup

机译:使用DSP无线设置的6个偏斜高斯模板的非线性拟合,用于通过DSP无线设置过滤,压缩和临床识别ECG

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In this paper we present an improved method for the acquisition, filtering, compression and clinical parameter identification of the ECG. The method involves the use of an improved instrumentation setup with high resolution and sample rate, as well as DSP monitored automatic gain and offset control (AGOC) which maximizes the range of the signal. It also involves the fitting of the signal with a nonlinear model consisting of six generalized Gaussians (with skew). The method further includes the use of sinefitting techniques to selectively remove electromagnetic interference such as the power-line (50 Hz or 60 Hz component). We will further describe the experimental setup developed, which is a DSP based portable 3-lead device, and show some experimental and characterization results.
机译:本文介绍了ECG的采集,滤波,压缩和临床参数识别的改进方法。 该方法涉及使用具有高分辨率和采样率的改进的仪表设置,以及DSP监测的自动增益和偏移控制(AGOC),其最大化信号的范围。 它还涉及具有由六个广义高斯(用歪斜)组成的非线性模型的信号的拟合。 该方法还包括使用SINEFITTING技术来选择性地去除诸如电源线(50Hz或60Hz分量)的电磁干扰。 我们将进一步描述开发的实验设置,这是一种基于DSP的便携式3引导装置,并显示出一些实验和表征结果。

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