Institute of Electrical and Biomedical Engineering, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
MED-EL GmbH, Innsbruck, Austria.
J Assoc Res Otolaryngol. 2022 Dec;23(6):815-833. doi: 10.1007/s10162-022-00868-w. Epub 2022 Sep 1.
The vestibular system is responsible for our sense of balance and spatial orientation. Recent studies have shown the possibility of partially restoring the function of this system using vestibular implants. Electrical modeling is a valuable tool in assisting the development of these implants by analyzing stimulation effects. However, previous modeling approaches of the vestibular system assumed quasi-static conditions. In this work, an extended modeling approach is presented that considers the reactive component of impedance and the electrode-tissue interface and their effects are investigated in a 3D human vestibular computer model. The Fourier finite element method was employed considering the frequency-dependent electrical properties of the different tissues. The electrode-tissue interface was integrated by an instrumental electrode model. A neuron model of myelinated fibers was employed to predict the nerve responses to the electrical stimulus. Morphological changes of the predicted voltage waveforms considering the dielectric tissue properties were found compared to quasi-static simulations, particularly during monopolar electrode configuration. Introducing the polarization capacitance and the scar tissue around the electrode in combination with a power limitation leads to a considerable current reduction applied through the active electrode and, consequently, to reduced voltage amplitudes of the stimulus waveforms. The reactive component of impedance resulted in better selectivity for the excitation of target nerves compared to the quasi-static simulation at the expense of slightly increased stimulus current amplitudes. We conclude that tissue permittivity and effects of the electrode-tissue interface should be considered to improve the accuracy of the simulations.
前庭系统负责我们的平衡感和空间定位。最近的研究表明,使用前庭植入物部分恢复该系统功能的可能性。电建模是通过分析刺激效果来协助这些植入物开发的一种有价值的工具。然而,前庭系统的先前建模方法假设了准静态条件。在这项工作中,提出了一种扩展的建模方法,该方法考虑了阻抗的反应分量和电极-组织界面及其在 3D 人体前庭计算机模型中的影响。采用傅里叶有限元法考虑了不同组织的频率相关电特性。通过仪器电极模型集成了电极-组织界面。采用有髓纤维神经元模型来预测神经对电刺激的反应。与准静态模拟相比,考虑介电组织特性的预测电压波形的形态变化,特别是在单极电极配置期间。引入极化电容和电极周围的瘢痕组织,并结合功率限制,导致通过有源电极施加的电流显著减少,从而导致刺激波形的电压幅度降低。与准静态模拟相比,阻抗的反应分量导致对目标神经的激发具有更好的选择性,但其代价是刺激电流幅度略有增加。我们得出结论,应考虑组织介电常数和电极-组织界面的影响,以提高模拟的准确性。