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

机译:使用Cramer-Rao下界从胃电图信号确定自回归参数

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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:胃轻瘫是一种胃病,可以通过延迟固体食物的胃排空而没有机械性阻塞来识别。该疾病通过侵入性技术诊断。闪烁显像技术虽然有很多缺点,但却被认为是诊断的金标准。在这个研究中。从胃轻瘫患者和健康志愿者获得非侵入性EGG信号。为了确定用于诊断的频率轴上的特征,获得了功率谱密度(PSD)图。使用Cramer-Rao下界(CRLB)方法确定用于信号的参数方法的PSD方法。

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