{"title":"A Flexible fNIRS System Employing Super-resolution Technique for Nature-Scenario High-Resolution Brain Functional Imaging","authors":"Yuxiang Lin, Zhouchen Ma, Cheng Chen, Nabil Sabor","doi":"10.1109/IFETC53656.2022.9948513","DOIUrl":null,"url":null,"abstract":"Due to the lack of equipment, it is difficult to simultaneously study the brain activity of multiple subjects in natural scenarios. This paper proposes an flexible and lightweight wearable fNIRS system, which combines flexible sensor array and super-resolution algorithm to achieve both high spatial resolution and lightweight. The measured results show the PSNR values of acquired brain images between the super-resolution reconstruct image and the original HR image is 50.44 dB at a down sampling rate of 2, which implies that the hardware cost can be reduced by 4 × , without sacrifices the spatial resolution.","PeriodicalId":289035,"journal":{"name":"2022 IEEE International Flexible Electronics Technology Conference (IFETC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Flexible Electronics Technology Conference (IFETC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFETC53656.2022.9948513","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Due to the lack of equipment, it is difficult to simultaneously study the brain activity of multiple subjects in natural scenarios. This paper proposes an flexible and lightweight wearable fNIRS system, which combines flexible sensor array and super-resolution algorithm to achieve both high spatial resolution and lightweight. The measured results show the PSNR values of acquired brain images between the super-resolution reconstruct image and the original HR image is 50.44 dB at a down sampling rate of 2, which implies that the hardware cost can be reduced by 4 × , without sacrifices the spatial resolution.