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体内胃慢波记录恢复阶段的检测

Detection of the Recovery Phase of in vivo gastric slow wave recordings.

作者信息

Paskaranandavadivel Niranchan, Pan Xingzheng, Du Peng, O'Grady Gregory, Cheng Leo K

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6094-7. doi: 10.1109/EMBC.2015.7319782.

DOI:10.1109/EMBC.2015.7319782
PMID:26737682
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4938633/
Abstract

Gastric motility is coordinated by bio-electrical events known as slow waves. Abnormalities in slow waves are linked to major functional and motility disorders. In recent years, the use of high-resolution (HR) recordings have provided a unique view of spatiotemporal activation profiles of normal and dysrhythmic slow wave activity. To date, in vivo studies of gastric slow wave activity have primarily focused on the activation phase of the slow wave event. In this study, the recovery phase of slow waves was investigated through the use of HR recording techniques. The recovery phase of the slow wave event was detected through the use of the signal derivative, computed via a wavelet transform. The activation to recovery interval (ARi) metric was computed as a difference between the recovery time and activation time. The detection method was validated with synthetic slow wave signals of varying morphologies with the addition of synthetic ventilator and high frequency noise. The methods was then applied to HR experimental porcine gastric slow wave recordings. Ventilator noise more than 10% of the slow wave amplitude affected the estimation of the ARi metric. Signal to noise ratio below 3 dB affected the ARi metric, but with minor deviation in accuracy. Experimental ARi values ranged from 3.7-4.7 s from three data sets, with significant differences across them.

摘要

胃动力由被称为慢波的生物电活动协调。慢波异常与主要的功能和动力障碍有关。近年来,高分辨率(HR)记录的使用提供了正常和节律失常慢波活动时空激活模式的独特视角。迄今为止,胃慢波活动的体内研究主要集中在慢波事件的激活阶段。在本研究中,通过使用HR记录技术对慢波的恢复阶段进行了研究。慢波事件的恢复阶段通过使用信号导数来检测,该导数通过小波变换计算得出。激活到恢复间隔(ARi)指标计算为恢复时间与激活时间之差。该检测方法通过添加合成呼吸机和高频噪声的不同形态的合成慢波信号进行了验证。然后将该方法应用于HR实验猪胃慢波记录。超过慢波振幅10%的呼吸机噪声影响了ARi指标的估计。信噪比低于3 dB影响了ARi指标,但精度偏差较小。来自三个数据集的实验ARi值范围为3.7 - 4.7秒,它们之间存在显著差异。

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本文引用的文献

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