Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Alimetry Ltd., Auckland, New Zealand.
Am J Physiol Gastrointest Liver Physiol. 2022 Oct 1;323(4):G295-G305. doi: 10.1152/ajpgi.00049.2022. Epub 2022 Aug 2.
Gastric disorders are increasingly prevalent, but reliable noninvasive tools to objectively assess gastric function are lacking. Body-surface gastric mapping (BSGM) is a noninvasive method for the detection of gastric electrophysiological features, which are correlated with symptoms in patients with gastroparesis and functional dyspepsia. Previous studies have validated the relationship between serosal and cutaneous recordings from limited number of channels. This study aimed to comprehensively evaluate the basis of BSGM from 64 cutaneous channels and reliably identify spatial biomarkers associated with slow-wave dysrhythmias. High-resolution electrode arrays were placed to simultaneously capture slow waves from the gastric serosa (32 × 6 electrodes at 4 mm spacing) and epigastrium (8 × 8 electrodes at 20 mm spacing) in 14 porcine subjects. BSGM signals were processed based on a combination of wavelet and phase information analyses. A total of 1,185 individual cycles of slow waves were assessed, out of which 897 (76%) were classified as normal antegrade waves, occurring in 10 (71%) subjects studied. BSGM accurately detected the underlying slow wave in terms of frequency ( = 0.99, = 0.43) as well as the direction of propagation ( = 0.41, -measure: 0.92). In addition, the cycle-by-cycle match between BSGM and transitions of gastric slow wave dysrhythmias was demonstrated. These results validate BSGM as a suitable method for noninvasively and accurately detecting gastric slow-wave spatiotemporal profiles from the body surface. Gastric dysfunctions are associated with abnormalities in the gastric bioelectrical slow waves. Noninvasive detection of gastric slow waves from the body surface can be achieved through multichannel, high-resolution, body-surface gastric mapping (BSGM). BSGM matched the spatiotemporal characteristics of gastric slow waves recorded directly and simultaneously from the serosal surface of the stomach. Abnormal gastric slow waves, such as retrograde propagation, ectopic pacemaker, and colliding wavefronts can be detected by changes in the phase of BSGM.
胃动力障碍越来越普遍，但缺乏可靠的非侵入性工具来客观评估胃功能。体表胃映射（BSGM）是一种用于检测胃电生理特征的非侵入性方法，这些特征与胃轻瘫和功能性消化不良患者的症状相关。先前的研究已经验证了有限数量通道的浆膜和皮肤记录之间的关系。本研究旨在全面评估来自 64 个皮肤通道的 BSGM 的基础，并可靠地识别与慢波节律紊乱相关的空间生物标志物。高分辨率电极阵列被放置以同时从胃浆膜（32×6 个电极，间隔 4 毫米）和上腹部（8×8 个电极，间隔 20 毫米）捕获慢波。BSGM 信号基于小波和相位信息分析的组合进行处理。总共评估了 1185 个单个慢波周期，其中 897 个（76%）被归类为正常前向波，发生在 10 个（71%）研究对象中。BSGM 在频率（ = 0.99， = 0.43）和传播方向（ = 0.41，-测量：0.92）方面准确地检测到潜在的慢波。此外，还证明了 BSGM 与胃慢波节律紊乱的逐周期匹配。这些结果验证了 BSGM 作为一种从体表无创且准确地检测胃慢波时空特征的合适方法。胃动力障碍与胃生物电慢波的异常有关。通过多通道、高分辨率、体表胃映射（BSGM）可以从体表无创检测胃慢波。BSGM 与直接和同时从胃浆膜表面记录的胃慢波的时空特征相匹配。通过 BSGM 的相位变化，可以检测到异常的胃慢波，如逆行传播、异位起搏和碰撞波前。
