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植入式脑机接口电极的频率优化

陈翰 刘翔宇 程佳君 秦江帆 张雪丽

东南大学学报(英文版)2025,Vol.41Issue(3):366-374,9.
东南大学学报(英文版)2025,Vol.41Issue(3):366-374,9.DOI:10.3969/j.issn.1003-7985.2025.03.012

植入式脑机接口电极的频率优化

Frequency optimization for electrodes in implantable brain-computer interfaces

陈翰 1刘翔宇 2程佳君 2秦江帆 2张雪丽2

作者信息

  • 1. 东南大学仪器科学与工程学院,南京 210096||智能电网保护和运行控制国家重点实验室,南京 211106
  • 2. 东南大学仪器科学与工程学院,南京 210096
  • 折叠

摘要

Abstract

Fully implanted brain-computer interfaces(BCIs)are preferred as they eliminate signal degradation caused by interference and absorption in external tissues,a common is-sue in non-fully implanted systems.To optimize the design of electroencephalography electrodes in fully implanted BCI systems,this study investigates the penetration and absorp-tion characteristics of microwave signals in human brain tis-sue at different frequencies.Electromagnetic simulations are used to analyze the power density distribution and spe-cific absorption rate(SAR)of signals at various frequen-cies.The results indicate that lower-frequency signals offer advantages in terms of power density and attenuation coeffi-cients.However,SAR-normalized analysis,which consid-ers both power density and electromagnetic radiation haz-ards,shows that higher-frequency signals perform better at superficial to intermediate depths.Specifically,at a depth of 2 mm beneath the cortex,the power density of a 6.5 GHz signal is 247.83%higher than that of a 0.4 GHz sig-nal.At a depth of 5 mm,the power density of a 3.5 GHz signal exceeds that of a 0.4 GHz signal by 224.16%.The findings suggest that 6.5 GHz is optimal for electrodes at a depth of 2 mm,3.5 GHz for 5 mm,2.45 GHz for depths of 15-20 mm,and 1.8 GHz for 25 mm.

关键词

脑机接口/电磁仿真/脑电图电极/功率密度/比吸收率

Key words

brain-computer interfaces/electromagnetic simulation/electroencephalography electrodes/power den-sity/specific absorption rate

分类

信息技术与安全科学

引用本文复制引用

陈翰,刘翔宇,程佳君,秦江帆,张雪丽..植入式脑机接口电极的频率优化[J].东南大学学报(英文版),2025,41(3):366-374,9.

基金项目

The Open Project of State Key Laboratory of Smart Grid Protection and Operation Control in 2022(No.SGNR0000KJJS2302150). (No.SGNR0000KJJS2302150)

东南大学学报(英文版)

1003-7985

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