Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces

Abstract Brain-computer interfaces (BCIs) have attracted considerable attention in motor and language rehabilitation. Most devices use cap-based non-invasive, headband-based commercial products or microneedle-based invasive approaches, which are constrained for inconvenience, limited applications, i...

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Main Authors: Zhouheng Wang, Nanlin Shi, Yingchao Zhang, Ning Zheng, Haicheng Li, Yang Jiao, Jiahui Cheng, Yutong Wang, Xiaoqing Zhang, Ying Chen, Yihao Chen, Heling Wang, Tao Xie, Yijun Wang, Yinji Ma, Xiaorong Gao, Xue Feng
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-39814-6
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author Zhouheng Wang
Nanlin Shi
Yingchao Zhang
Ning Zheng
Haicheng Li
Yang Jiao
Jiahui Cheng
Yutong Wang
Xiaoqing Zhang
Ying Chen
Yihao Chen
Heling Wang
Tao Xie
Yijun Wang
Yinji Ma
Xiaorong Gao
Xue Feng
author_facet Zhouheng Wang
Nanlin Shi
Yingchao Zhang
Ning Zheng
Haicheng Li
Yang Jiao
Jiahui Cheng
Yutong Wang
Xiaoqing Zhang
Ying Chen
Yihao Chen
Heling Wang
Tao Xie
Yijun Wang
Yinji Ma
Xiaorong Gao
Xue Feng
author_sort Zhouheng Wang
collection DOAJ
description Abstract Brain-computer interfaces (BCIs) have attracted considerable attention in motor and language rehabilitation. Most devices use cap-based non-invasive, headband-based commercial products or microneedle-based invasive approaches, which are constrained for inconvenience, limited applications, inflammation risks and even irreversible damage to soft tissues. Here, we propose in-ear visual and auditory BCIs based on in-ear bioelectronics, named as SpiralE, which can adaptively expand and spiral along the auditory meatus under electrothermal actuation to ensure conformal contact. Participants achieve offline accuracies of 95% in 9-target steady state visual evoked potential (SSVEP) BCI classification and type target phrases successfully in a calibration-free 40-target online SSVEP speller experiment. Interestingly, in-ear SSVEPs exhibit significant 2nd harmonic tendencies, indicating that in-ear sensing may be complementary for studying harmonic spatial distributions in SSVEP studies. Moreover, natural speech auditory classification accuracy can reach 84% in cocktail party experiments. The SpiralE provides innovative concepts for designing 3D flexible bioelectronics and assists the development of biomedical engineering and neural monitoring.
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spelling doaj.art-232d5da6867843cb9bfa35bc1e959ff62023-07-16T11:21:57ZengNature PortfolioNature Communications2041-17232023-07-0114111110.1038/s41467-023-39814-6Conformal in-ear bioelectronics for visual and auditory brain-computer interfacesZhouheng Wang0Nanlin Shi1Yingchao Zhang2Ning Zheng3Haicheng Li4Yang Jiao5Jiahui Cheng6Yutong Wang7Xiaoqing Zhang8Ying Chen9Yihao Chen10Heling Wang11Tao Xie12Yijun Wang13Yinji Ma14Xiaorong Gao15Xue Feng16Laboratory of Flexible Electronics Technology, Tsinghua UniversityDepartment of Biomedical Engineering, Tsinghua UniversityAML, Department of Engineering Mechanics, Tsinghua UniversityState Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang UniversityLaboratory of Flexible Electronics Technology, Tsinghua UniversityLaboratory of Flexible Electronics Technology, Tsinghua UniversityLaboratory of Flexible Electronics Technology, Tsinghua UniversityLaboratory of Flexible Electronics Technology, Tsinghua UniversityDepartment of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical UniversityInstitute of Flexible Electronics Technology of THULaboratory of Flexible Electronics Technology, Tsinghua UniversityLaboratory of Flexible Electronics Technology, Tsinghua UniversityState Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang UniversityInstitute of Semiconductors, Chinese Academy of SciencesLaboratory of Flexible Electronics Technology, Tsinghua UniversityDepartment of Biomedical Engineering, Tsinghua UniversityLaboratory of Flexible Electronics Technology, Tsinghua UniversityAbstract Brain-computer interfaces (BCIs) have attracted considerable attention in motor and language rehabilitation. Most devices use cap-based non-invasive, headband-based commercial products or microneedle-based invasive approaches, which are constrained for inconvenience, limited applications, inflammation risks and even irreversible damage to soft tissues. Here, we propose in-ear visual and auditory BCIs based on in-ear bioelectronics, named as SpiralE, which can adaptively expand and spiral along the auditory meatus under electrothermal actuation to ensure conformal contact. Participants achieve offline accuracies of 95% in 9-target steady state visual evoked potential (SSVEP) BCI classification and type target phrases successfully in a calibration-free 40-target online SSVEP speller experiment. Interestingly, in-ear SSVEPs exhibit significant 2nd harmonic tendencies, indicating that in-ear sensing may be complementary for studying harmonic spatial distributions in SSVEP studies. Moreover, natural speech auditory classification accuracy can reach 84% in cocktail party experiments. The SpiralE provides innovative concepts for designing 3D flexible bioelectronics and assists the development of biomedical engineering and neural monitoring.https://doi.org/10.1038/s41467-023-39814-6
spellingShingle Zhouheng Wang
Nanlin Shi
Yingchao Zhang
Ning Zheng
Haicheng Li
Yang Jiao
Jiahui Cheng
Yutong Wang
Xiaoqing Zhang
Ying Chen
Yihao Chen
Heling Wang
Tao Xie
Yijun Wang
Yinji Ma
Xiaorong Gao
Xue Feng
Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces
Nature Communications
title Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces
title_full Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces
title_fullStr Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces
title_full_unstemmed Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces
title_short Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces
title_sort conformal in ear bioelectronics for visual and auditory brain computer interfaces
url https://doi.org/10.1038/s41467-023-39814-6
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