Zhang Shuang, Wang Jiujiang, Yu Yuanyu, Wu Lin, Zhang Tao
The School of Artificial Intelligence, Neijiang Normal University, Neijiang 641004, China.
The School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China.
Bioengineering (Basel). 2023 Mar 18;10(3):374. doi: 10.3390/bioengineering10030374.
To effectively analyze the diffusion and accumulation of signals on the surface and inside the human body under electrical stimulation, we used the gray threshold of the Chinese Digital Human image dataset to segment an arm image and reconstruct the tissue to obtain its three-dimensional cloud point dataset. Finally, a semirefined digital arm entity model with the geometric characteristics of the actual human arm tissue was constructed using reverse engineering technology. Further input of the current signal stimulation under tDCS and tACS with additional analysis of the signal diffusion in the transient mode via model calculation revealed that DC electrical stimulation is likely to cause high-voltage burns. The effective depth achieved using the AC stimulation signal is considerable, and provides reference for the electrical stimulation selection. Simultaneously, in the digital arm model, the signal diffusion and tissue damage inside the arm can be analyzed by changing the field, which provides a theoretical basis for the experimental study of the human body.
为有效分析电刺激下人体表面和内部信号的扩散与积累，我们利用中国数字人图像数据集的灰度阈值分割手臂图像并重建组织，以获得其三维点云数据集。最后，采用逆向工程技术构建了具有实际人体手臂组织几何特征的半精细数字手臂实体模型。通过在经颅直流电刺激（tDCS）和经颅交流电刺激（tACS）下进一步输入电流信号刺激，并通过模型计算对瞬态模式下的信号扩散进行额外分析，结果表明直流电刺激可能会导致高压烧伤。使用交流刺激信号实现的有效深度相当可观，为电刺激选择提供了参考。同时，在数字手臂模型中，可以通过改变场来分析手臂内部的信号扩散和组织损伤，为人体实验研究提供了理论依据。
