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首页> 外文会议>2016 IEEE International Conference on Signal and Image Processing >Line length feature of the electrogastrogram for delayed gastric emptying diagnosis
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Line length feature of the electrogastrogram for delayed gastric emptying diagnosis

机译：电胃线图的线长特征用于胃排空延迟诊断

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Electrogastrography (EGG) is a noninvasive technique to record the gastric electrical activity. In recent years, researchers have proved that EGG has great clinical potentials to evaluate the gastric disorders. However, it has still not been used in clinic to diagnoses of diabetic gastroparesis or some other disorders. One of the reasons of this can be related to methods using for EGG signal analyzing. Normal gastric myoelectrical activity consists of a slow wave or Electrical Control Activity (ECA) and spikes or Electrical Response Activity (ERA) potentials. Although ERA could be responsible for some changes in EGG signals, it is ignored and neither First furrier transform (FFT) based running spectral analysis (RSA) nor can discrete wavelet transform (DWT) reflect the ERA effect. Line length is an amplitude- and frequency-dependent linear feature therefore it reflects the waveform dimensionality changes. The aim of this study was to investigate the line length feature of the EGG whether it has potential for discriminate the healthy subjects (CT) from diabetic gastroparesis (GP) patients and discuss the line length capability to reflect the ERA effect on EGG. For this aim EGG signals were recorded from 20 CT and 20 GP patients who had delayed gastric emptying. The recordings were analyzed and compared in both groups' pre- and post-prandial states. The results we obtained from line length analysis of EGG signals proved that there are significant differences between the GP and CT groups is statistically significant for pre and post-prandial condition (p = 0,0298* for pre-prandial and p= 0,0032* for post-prandial). The proposed method confirmed that line length feature is useful for detecting delayed gastric emptying and using with some other features more successful computer-aided detection system can design.
机译：电胃描记术（EGG）是一种无创技术，可记录胃电活动。近年来，研究人员已经证明，EGG具有评估胃病的巨大临床潜力。但是，它仍未在临床上用于诊断糖尿病性胃轻瘫或其他一些疾病。原因之一可能与用于EGG信号分析的方法有关。正常的胃肌电活动由慢波或电控制活动（ECA）和峰值或电响应活动（ERA）电位组成。尽管ERA可能会引起EGG信号的某些变化，但是它被忽略了，并且基于第一频谱分析（RSA）的运行频谱分析（RSA）和离散小波变换（DWT）都无法反映ERA的影响。线长是幅度和频率相关的线性特征，因此它反映了波形的维数变化。这项研究的目的是调查EGG的线长特征是否具有区分糖尿病性胃轻瘫（GP）患者的健康受试者（CT）的潜力，并讨论线长反映ERA对EGG的影响的能力。为此，从20位CT和20位GP的胃排空延迟患者中记录了EGG信号。在两组餐前和餐后状态下对记录进行分析和比较。我们从EGG信号的线长分析获得的结果证明，在餐前和餐后情况下，GP组和CT组之间存在显着统计学差异（餐前和餐前情况分别为p = 0,0298 *和p = 0,0032 *用于餐后）。所提出的方法证实线长特征对于检测延迟的胃排空是有用的，并且与其他特征一起使用可以设计更成功的计算机辅助检测系统。

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