IEEE Trans Biomed Eng. 2022 Mar;69(3):1063-1071. doi: 10.1109/TBME.2021.3112955. Epub 2022 Feb 18.
Gastric bio-electrical slow waves are, in part, responsible for coordinating motility. High-resolution (HR) in vivo recordings can be used to capture the wavefront velocity of the propagating slow waves. A standard "marking-and-grouping" approach is typically employed along with manual review. Here, a bipolar velocity estimation (BVE) method was developed, which utilized local directional information to estimate the wavefront velocity in an efficient manner.
Unipolar in vivo HR recordings were used to construct bipolar recordings in different directions. Then, the local directionality of the slow wave was extracted by calculating time delay information. The accuracy of the method was verified using synthetic data and then validated with in vivo HR pig experimental recordings.
Against ventilator noise amplitude of 0% - 70% of the average slow wave amplitude, the direction and speed error increased from 4.4 and 0.9 mm/s to 8.6 and 1.4 mm/s. For signals added with high-frequency noise with SNR of 60 dB - 12 dB, the error increased from 8.0 and 1.0 mm/s to 9.8 and 1.2 mm/s. With experimental data, the BVE algorithm resulted in 19.2 ±1.7 of direction error and 2.0 ± 0.2 mm/s of speed error, when compared to the standard "marking-and-grouping" method.
Gastric slow wave wavefront velocities were estimated rapidly using the BVE algorithm with minimal errors.
The BVE algorithmenables the ability to estimate wavefront velocities in HR recordings in an efficient manner.
胃电慢波部分负责协调运动。高分辨率（HR）体内记录可用于捕获传播慢波的波阵面速度。通常采用标准的“标记和分组”方法结合手动审查。在这里，开发了一种双极速度估计（BVE）方法，该方法利用局部方向信息以有效的方式估计波阵面速度。
使用单极体内 HR 记录在不同方向构建双极记录。然后，通过计算延迟信息提取慢波的局部方向性。通过使用合成数据验证该方法的准确性，然后使用体内 HR 猪实验记录验证该方法。
与呼吸机噪声幅度为平均慢波幅度的 0%-70%相比，方向和速度误差从 4.4 和 0.9mm/s 增加到 8.6 和 1.4mm/s。对于添加了 SNR 为 60dB-12dB 的高频噪声的信号，误差从 8.0 和 1.0mm/s 增加到 9.8 和 1.2mm/s。对于实验数据，与标准的“标记和分组”方法相比，BVE 算法导致 19.2±1.7 的方向误差和 2.0±0.2mm/s 的速度误差。
使用 BVE 算法快速估计胃慢波波阵面速度，误差最小。
BVE 算法能够以有效的方式估计 HR 记录中的波阵面速度。
