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首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Liquid Gastroesophageal Reflux Characterization by Investigating Multichannel Intraluminal Impedance-pH Monitoring Data
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Liquid Gastroesophageal Reflux Characterization by Investigating Multichannel Intraluminal Impedance-pH Monitoring Data

机译：通过调查多通道管腔内阻抗-pH监测数据表征液体胃食管反流

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Multichannel Intraluminal Impedance-pH (MII-pH) monitoring is designed to detect intraluminal bolus movement without the use of radiation and allows for detection of Gastroesophageal reflux (GER). Automatic analysis of MII-pH data are available however since the recordings are complex and filled with artifacts; a thorough and time-consuming review of the recordings, episode by episode, is still required. The proposed method was designed to segment GER events in a set of 100 episodes of two minutes interval of MII data based on a decision tree approach. An amount of 24 hours of MII-pH data belonging to eight patients were recorded, digitized and stored along with standardized timings of GER events that had been characterized by two gastroenterologist experts. The performance of the algorithm was evaluated using 100 individual GER events. The algorithm has been shown to perform correctly in over 95% of cases.
机译：多通道腔内阻抗-pH（MII-pH）监测旨在在不使用辐射的情况下检测腔内推注运动，并允许检测胃食管反流（GER）。但是，由于记录复杂且充满伪影，因此可以自动分析MII-pH数据。仍然需要逐集对录音进行彻底且耗时的审查。所提出的方法旨在基于决策树方法，将MII数据的间隔为2分钟的100个情节中的GER事件分段。记录，数字化和存储了属于8位患者的24小时MII-pH数据，以及由两名胃肠病专家鉴定的GER事件的标准化时间。使用100个单独的GER事件评估了算法的性能。事实证明，该算法在95％以上的情况下都能正确执行。

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