Electrogastrography in patients with gastric motility disorders.

IF 1.7 4区 医学 Q3 ENGINEERING, BIOMEDICAL Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine Pub Date : 2024-01-01 Epub Date: 2023-11-20 DOI:10.1177/09544119231212269
Abdullah Al Kafee, Yusuf Kayar
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Abstract

Electrogastrography (EGG) is a novel diagnostic modality for assessing the gastrointestinal tract (GI) that generates spontaneous electrical activity and monitors gastric motility. The aim of this study was to compare patients with functional dyspepsia (FD) and diabetic gastroparesis (D-GP) with healthy controls (CT) to use established findings on abnormalities of gastric motility based on EGG characteristics. In this study, 50 patients with FD, 50 D-GP patients, and 50 CT subjects were studied to compare EGG with discrete wavelet transform models (DWT) to extract signal characteristics using a variety of different qualitative and quantitative metrics from pre-prandial and postprandial states. As a result, higher statistically significant (p < 0.05*) were found in the DWT models based on power spectral density (PSD) analysis in both states. We also present that the correlations between EGG metrics and the presence of FD, D-GP, and CT symptoms were inconsistent. This paper represents that EGG assessments of FD and D-GP patients differ from healthy controls in terms of abnormalities of gastric motility. Additionally, we demonstrate that diverse datasets showed adequate gastric motility responses to a meal. We anticipate that our method will provide a comprehensive understanding of gastric motility disorders for better treatment and monitoring in both clinical and research settings. In conclusion, we present potential future opportunities for precise gastrointestinal electrophysiological disorders.

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胃运动障碍患者的胃电图。
胃电图(EGG)是一种新的诊断方式,用于评估胃肠道(GI)产生的自发电活动和监测胃运动。本研究的目的是将功能性消化不良(FD)和糖尿病性胃轻瘫(D-GP)患者与健康对照组(CT)进行比较,以利用基于EGG特征的胃运动异常的既定发现。本研究对50例FD患者、50例D-GP患者和50例CT受试者进行研究,将EGG与离散小波变换模型(DWT)进行比较,利用各种不同的定性和定量指标从餐前和餐后状态提取信号特征。结果,更高的统计显著性(p
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来源期刊
CiteScore
3.60
自引率
5.60%
发文量
122
审稿时长
6 months
期刊介绍: The Journal of Engineering in Medicine is an interdisciplinary journal encompassing all aspects of engineering in medicine. The Journal is a vital tool for maintaining an understanding of the newest techniques and research in medical engineering.
期刊最新文献
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