{"title":"Micromachining Error Tolerance Analysis in EEG Sensing Nanostructure Arrays: Control of Fano Resonance for Enhanced Performance","authors":"Huicheng He;Zhanzhe Huang;Huazhen Shi;Ziying Wang;Hongxia Zhang;Dagong Jia","doi":"10.1109/JPHOT.2025.3578629","DOIUrl":null,"url":null,"abstract":"The silicon-based electroencephalography (EEG) sensing technology encounters performance limitations due to spectral distortions caused by micromachining, which significantly degrade its effectiveness in Brain-Computer Interface (BCI) systems. To enhance the performance of EEG sensors, this study systematically investigates the tolerance of micromachining errors in silicon-based nanostructured arrays, specifically focusing on photonic crystal nanobeam cavities (PCNCs) used in optical EEG sensing systems. We propose a comprehensive error control methodology that integrates finite-difference time-domain (FDTD) simulations with multivariate linear regression (MLR) analysis to quantitatively assess the impact of lithographic and alignment errors on Fano resonance spectral characteristics. Our analysis establishes critical tolerance boundaries: horizontal displacement errors must be maintained within −4.56 nm to +26.31 nm, and angular deviations should be constrained between −0.068° and +0.083°. By establishing precise tolerance boundaries, our approach effectively mitigates spectral distortion while enhancing production yield, thereby ensuring manufacturing consistency. Notably, this study aligns with the fundamental objective of precision allocation in conventional silicon nanocomponents: achieving target performance metrics with cost efficiency.","PeriodicalId":13204,"journal":{"name":"IEEE Photonics Journal","volume":"17 4","pages":"1-13"},"PeriodicalIF":2.1000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11030254","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Photonics Journal","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11030254/","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The silicon-based electroencephalography (EEG) sensing technology encounters performance limitations due to spectral distortions caused by micromachining, which significantly degrade its effectiveness in Brain-Computer Interface (BCI) systems. To enhance the performance of EEG sensors, this study systematically investigates the tolerance of micromachining errors in silicon-based nanostructured arrays, specifically focusing on photonic crystal nanobeam cavities (PCNCs) used in optical EEG sensing systems. We propose a comprehensive error control methodology that integrates finite-difference time-domain (FDTD) simulations with multivariate linear regression (MLR) analysis to quantitatively assess the impact of lithographic and alignment errors on Fano resonance spectral characteristics. Our analysis establishes critical tolerance boundaries: horizontal displacement errors must be maintained within −4.56 nm to +26.31 nm, and angular deviations should be constrained between −0.068° and +0.083°. By establishing precise tolerance boundaries, our approach effectively mitigates spectral distortion while enhancing production yield, thereby ensuring manufacturing consistency. Notably, this study aligns with the fundamental objective of precision allocation in conventional silicon nanocomponents: achieving target performance metrics with cost efficiency.
期刊介绍:
Breakthroughs in the generation of light and in its control and utilization have given rise to the field of Photonics, a rapidly expanding area of science and technology with major technological and economic impact. Photonics integrates quantum electronics and optics to accelerate progress in the generation of novel photon sources and in their utilization in emerging applications at the micro and nano scales spanning from the far-infrared/THz to the x-ray region of the electromagnetic spectrum. IEEE Photonics Journal is an online-only journal dedicated to the rapid disclosure of top-quality peer-reviewed research at the forefront of all areas of photonics. Contributions addressing issues ranging from fundamental understanding to emerging technologies and applications are within the scope of the Journal. The Journal includes topics in: Photon sources from far infrared to X-rays, Photonics materials and engineered photonic structures, Integrated optics and optoelectronic, Ultrafast, attosecond, high field and short wavelength photonics, Biophotonics, including DNA photonics, Nanophotonics, Magnetophotonics, Fundamentals of light propagation and interaction; nonlinear effects, Optical data storage, Fiber optics and optical communications devices, systems, and technologies, Micro Opto Electro Mechanical Systems (MOEMS), Microwave photonics, Optical Sensors.