脑-机接口
脑电图
计算机科学
弹性体
接口(物质)
生物医学工程
主管(地质)
神经活动
材料科学
人工智能
神经生理学
声学
共晶体系
手指敲击
计算机视觉
头戴式耳机
作者
Ju-Chun Hsieh,Mengmeng Yao,Hussein Alawieh,Victoria Koptelova,Satyam Kumar,Kai Wing Kevin Tang,Wenliang Wang,Jinmo Jeong,Hong Ding,Zoya Ahmad,Derek Wang,Tlali Engrav,Reyna Wang,Ashwin Gupta,Weilong He,William D. Moscoso-Barrera,Ayden Grimes,José del R. Millán,Huiliang Wang
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2026-10-02
卷期号:12 (40): eaee1540-eaee1540
标识
DOI:10.1126/sciadv.aee1540
摘要
Reliable brain-computer interfaces (BCIs) require electroencephalography (EEG) sensors that maintain conformal, low-impedance contact through hair, motion, and repeated use. Here, we present MindStretcH, a stretchable and hair-compatible EEG platform integrating a kirigami-patterned elastomeric mesh, deformable eutectic gallium-indium (EGaIn) interconnects, and detachable hydrogel-based conical electrodes. The system adapts to variations in head geometry, preserves electrical performance under substantial mechanical deformation, and maintains stable electrode-scalp contact over prolonged use. Longitudinal motor-imagery recordings and repeated online BCI experiments showed consistent task-related EEG activity without measurable deterioration in recording quality. These results establish MindStretcH as a reusable platform for long-term EEG monitoring and BCI applications in laboratory, clinical, and home settings.
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