A 3D Computational Model of Transcutaneous Electrical Nerve Stimulation for Estimating Aβ Tactile Nerve Fiber Excitability

被引:15
|
作者
Zhu, Kaihua [1 ]
Li, Liming [1 ]
Wei, Xuyong [1 ]
Sui, Xiaohong [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Biomed Engn, Shanghai, Peoples R China
来源
FRONTIERS IN NEUROSCIENCE | 2017年 / 11卷
基金
中国国家自然科学基金;
关键词
3D computational modeling; tactile sensory feedback; transcutaneous electrical nerve stimulation; A beta tactile nerve fiber; double-cable model; psychophysical experiments; DEEP BRAIN-STIMULATION; CONDUCTION-VELOCITY; MYELINATED NERVE; ELECTROCUTANEOUS STIMULATION; DIELECTRIC-PROPERTIES; BIOLOGICAL TISSUES; SENSORY FEEDBACK; PERIPHERAL-NERVE; MERKEL CELLS; DORSAL-HORN;
D O I
10.3389/fnins.2017.00250
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Tactile sensory feedback plays an important role in our daily life. Transcutaneous electrical nerve stimulation (TENS) is widely accepted to produce artificial tactile sensation. To explore the underlying mechanism of tactile sensation under TENS, this paper presented a novel 3D TENS computational model including an active A beta tactile nerve fiber (TNF) model and a forearm finite element model with the fine-layered skin structure. The conduction velocity vs. fiber diameter and strength-duration relationships in this combined TENS model matched well with experimental data. Based on this validated TENS model, threshold current variation were further investigated under different stimulating electrode sizes with varied fiber diameters. The computational results showed that the threshold current intensity increased with electrode size, and larger nerve fibers were recruited at lower current intensities. These results were comparable to our psychophysical experimental data from six healthy subjects. This novel 3D TENS model would further guide the floorplan of the surface electrodes, and the stimulating paradigms for tactile sensory feedback.
引用
收藏
页数:13
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