基于频域分析的多通道经颅电刺激装置串扰抑制与阻抗测量研究
Crosstalk Suppression and Impedance Measurement of Multi-Channel Transcranial Electrical Stimulation Device Based on Frequency Domain Analysis
DOI: 10.12677/met.2025.146080, PDF,    科研立项经费支持
作者: 董 旭*:山东交通学院轨道交通学院,山东 济南;李卫民, 张宁玲#, 张昔坤:山东中科先进技术有限公司,山东 济南
关键词: 经颅电刺激频域分析多通道串扰抑制阻抗测量Transcranial Electrical Stimulation Frequency Domain Analysis Multi-Channel Crosstalk Suppression Impedance Measurement
摘要: 多通道经颅电刺激技术在神经调控领域具有广阔应用前景,但多通道系统中的串扰问题严重影响电极阻抗测量精度,制约系统安全性评估。本文提出一种基于频域分析的多通道经颅电刺激装置串扰抑制与阻抗测量方法。通过为不同通道分配特征频率,利用快速傅里叶变换和数字滤波技术在频域内实现信号分离,有效抑制通道间串扰。采用暖芯迦专业刺激芯片(内置高精度ADC)和AD5933阻抗测量芯片构建多通道刺激装置,使用Python开发上位机软件实现人机交互。实验验证表明,频域分析法显著提升多通道阻抗测量精度,在单通道和双通道测试中均表现出良好的抗干扰能力和测量稳定性。该方法为多通道经颅电刺激技术提供可靠的安全监测手段,具有重要的临床应用价值。
Abstract: Multi-channel transcranial electrical stimulation technology has broad application prospects in the field of neuromodulation, but the crosstalk problem in multi-channel systems seriously affects the accuracy of electrode impedance measurement and restricts system safety assessment. This paper proposes a crosstalk suppression and impedance measurement method for multi-channel transcranial electrical stimulation devices based on frequency domain analysis. By assigning characteristic frequencies to different channels, signal separation is achieved in the frequency domain using fast Fourier transform and digital filtering techniques to effectively suppress inter-channel crosstalk. A multi-channel stimulation device is constructed using professional stimulation chip from ENS001 (with built-in high-precision ADC) and AD5933 impedance measurement chip, with Python-based host computer software for human-machine interaction. Experimental verification shows that the frequency domain analysis method significantly improves the accuracy of multi-channel impedance measurement, demonstrating good anti-interference capability and measurement stability in both single-channel and dual-channel tests. This method provides reliable safety monitoring for multi-channel transcranial electrical stimulation technology and has important clinical application value.
文章引用:董旭, 李卫民, 张宁玲, 张昔坤. 基于频域分析的多通道经颅电刺激装置串扰抑制与阻抗测量研究[J]. 机械工程与技术, 2025, 14(6): 778-791. https://doi.org/10.12677/met.2025.146080

参考文献

[1] 曹辉, 饶旭妮, 江涛, 薛曼玉, 茅伟杰. 重复经颅磁刺激装置的电容充电电源设计[J]. 电力与能源, 2025, 46(2): 162-166.
[2] Cheng, Z.P., Wang, K.F., Li, Z.W., Wu, H.T., Zhi, C.Y. and Zhang, J.B. (2024) Distributed Secondary Control of AC Microgrid and Its Frequency Domain Analysis Considering Time Delay. Journal of Electrical Engineering & Technology, 19, 45-59. [Google Scholar] [CrossRef
[3] Charvet, L., Best, P., Lustberg, M., Pilloni, G., Shaw, M., Zhovtis, L., et al. (2023) Cognitive Functioning in Multiple Sclerosis (MS) Improves with At-Home Online Training Paired with Transcranial Direct Current Stimulation (tDCS): Results from a Sham-Controlled Randomized Clinical Trial. Brain Stimulation, 16, Article 344. [Google Scholar] [CrossRef
[4] Jog, M., Taraku, B., Boucher, M., Hellemann, G., Narr, K. and Woods, R. (2022) P342. Modulation of Depression-Relevant Circuitry by Transcranial Direct Current Stimulation (tDCS). Biological Psychiatry, 91, S225-S226. [Google Scholar] [CrossRef
[5] Lo, K.Y.H., Hopman, H.J., Chan, S.C., Chau, W.H.S., Cheng, P.W.C., Cheung, K.Y., et al. (2022) Concurrent Anodal Transcranial Direct Current Stimulation (tDCS) with Cognitive Training to Improve Cognition in Schizophrenia. Schizophrenia Research, 241, 184-186. [Google Scholar] [CrossRef] [PubMed]
[6] 徐硕, 徐坤, 李棋, 陈俊语, 许赟. 基于电流扰动法阻抗测量的经颅电刺激装置研究[J]. 电工技术学报, 2021, 36(18): 3799-3808.
[7] Prastika, E.B., Imori, A., Kawashima, T., Murakami, Y., Hozumi, N., Yoshida, S., et al. (2021) Three-dimensional Acoustic Impedance Mapping of Human Skin by Improved Time-Frequency Domain Analysis. Japanese Journal of Applied Physics, 60, SDDE22. [Google Scholar] [CrossRef
[8] 尚莹春, 张涛. 重复经颅磁刺激对认知功能的作用及其分子机理的研究进展[J]. 电工技术学报, 2021, 36(4): 685-692.
[9] Saturnino, G.B., Madsen, K.H. and Thielscher, A. (2021) Optimizing the Electric Field Strength in Multiple Targets for Multichannel Transcranial Electric Stimulation. Journal of Neural Engineering, 18, Article 014001. [Google Scholar] [CrossRef] [PubMed]
[10] Cavalcante, P.G.L., Baptista, A.F., Cardoso, V.S., Filgueiras, M.D.C., Hasue, R.H., João, S.M.A., et al. (2020) Transcranial Direct Current Stimulation Combined with Therapeutic Exercise in Chronic Low Back Pain: Protocol of a Randomized Controlled Trial. Physical Therapy, 100, 1595-1602. [Google Scholar] [CrossRef] [PubMed]
[11] Rabaani, K., Boulejfen, N., Kouki, A.B., et al. (2020) Fast and Low Complexity Frequency Domain Analysis of Nonuniform Substrate Integrated Waveguide-Based Structures. International Journal of RF and Microwave Computer-Aided Engineering, 30, e22135. [Google Scholar] [CrossRef
[12] 熊慧, 王玉领, 付浩, 刘近贞, 朱建国. 一种应用于经颅磁刺激脉冲宽度可调的节能型激励源[J]. 电工技术学报, 2020, 35(4): 679-686.
[13] 张帅, 崔琨, 史勋, 王卓, 徐桂芝. 经颅磁声电刺激参数对神经元放电模式的影响分析[J]. 电工技术学报, 2019, 34(18): 3741-3749.
[14] Ruffini, G., Wendling, F., Sanchez-Todo, R. and Santarnecchi, E. (2018) Targeting Brain Networks with Multichannel Transcranial Current Stimulation (tCS). Current Opinion in Biomedical Engineering, 8, 70-77. [Google Scholar] [CrossRef
[15] Madhan Mohan, P., Nagarajan, V. and Vignesh, J.C. (2017) Spot and Continuous Monitoring of Heart Rate by Combining Time and Frequency Domain Analysis of Photoplethysmographic Signals at Rest Conditions. IET Signal Processing, 11, 1076-1082. [Google Scholar] [CrossRef
[16] Yang, Y., Zhang, W., Du, F., Tang, X., Wen, H. and Teng, Z. (2014) Broadband Bioimpedance Spectroscopy Based on a Multifrequency Mixed Excitation and Nuttall Windowed FFT Algorithm. Mathematical Problems in Engineering, 2014, 1-9. [Google Scholar] [CrossRef