Engineering and Technology

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

Z. Wang, N. Shi, et al.

Explore the groundbreaking research of Zhouheng Wang and colleagues, introducing SpiralE—an innovative in-ear bioelectronics device for brain-computer interfaces. With remarkable accuracy in SSVEP BCI classification and impressive auditory performance, this research boasts a leap forward in flexible bioelectronics and neural monitoring.

00:00

Playback language: English

Index

Abstract

This paper introduces SpiralE, in-ear bioelectronics for visual and auditory brain-computer interfaces (BCIs). SpiralE uses electrothermal actuation to conform to the ear canal, enabling comfortable and stable EEG recording. Offline accuracy reached 95% for 2-target SSVEP BCI classification and successful typing of target phrases in a calibration-free 40-target online SSVEP speller experiment. Ear SSVEPs showed significant 2nd harmonic frequencies. Auditory classification accuracy reached 84% in cocktail party experiments. SpiralE offers innovative concepts for 3D flexible bioelectronics and advances biomedical engineering and neural monitoring.

Publisher

Nature Communications

Published On

Jul 14, 2023

Authors

Zhouheng Wang, Nanlin Shi, Yingchao Zhang, Ning Zheng, Haicheng Li, Yang Jiao, Jiahui Cheng, Yutong Wang, Xiaoqing Zhang, Ying Chen, Yihao Chen, Heliang Wang, Tao Xie, Yijun Wang, Yinji Ma, Xiaorong Gao, Xue Feng

Related Publications

Explore these studies to deepen your understanding of the subject.

Engineering and Technology

Review of Performance Improvement of a Noninvasive Brain-computer Interface in Communication and Motor Control for Clinical Applications

Y. Saito, K. Kamagata, et al.

Environmental Studies and Forestry

The influence of visual and auditory environments in parks on visitors' landscape preference, emotional state, and perceived restorativeness

W. Li and Y. Liu

Medicine and Health

Event-related brain response to visual cues in individuals with Internet gaming disorder: relevance to attentional bias and decision-making

B. Kim, J. Lee, et al.

Medicine and Health

Automated detection of intracranial aneurysms using skeleton-based 3D patches, semantic segmentation, and auxiliary classification for overcoming data imbalance in brain TOF-MRA

S. Ham, J. Seo, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny