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Determinig of autoregressive parameters from electrogastrogram signals using Cramer-Rao Lower Bound

机译:使用Cramer-Rao下限来确定靠近型电廓线信号的自回归参数

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摘要

Gastroparesis is a kind of stomach disease that is identified with delay of gastric emptying of solid food without mechanical obstruction. The disease is diagnosed by invasive techniques. Scintigraphy imaging technique is accepted as the gold standard in diagnosis although having many disadvantages. In this study. non invasive EGG signals were obtained from gastroparesis patients and healthy volunteers. Power Spectral Density (PSD) graphs were obtained for purpose of determining feature in frequency axis for diagnosis. PSD method for which parametric method that is used to the signals, was determined using Cramer-Rao Lower Bound (CRLB) method.
机译:胃术是一种胃病,其延迟胃排空的固体食物而没有机械阻塞。该疾病被侵入性技术诊断出来。透明度成像技术被接受为诊断中的黄金标准,尽管具有许多缺点。在这项研究中。非侵入性蛋信号是从胃术患者和健康志愿者获得的。功率谱密度(PSD)曲线图是为了确定频率轴的特征而获得用于诊断的特征。使用Cramer-Rao下限(CRLB)方法确定用于信号的参数方法的PSD方法。

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