.png){kind=icon}
返回
VR-enabled portable brain-computer interfaces via wireless soft bioelectronics
.png){kind=icon}
OA
AI
DOI：10.1016/j.bios.2022.114333.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Noninvasive, wearable brain-computer interfaces (BCI) find limited use due to their obtrusive nature and low information. Currently available portable BCI systems are limited by device rigidity, bulky form factors, and gel-based skin-contact electrodes - and therefore more prone to noise and motion artifacts. Here, we introduce virtual reality (VR)-enabled split-eye asynchronous stimulus (SEAS) allowing a target to present different stimuli to either eye. This results in unique asynchronous stimulus patterns measurable with as few as four EEG electrodes, as demonstrated with improved wireless soft electronics for portable BCI. This VR-embedded SEAS paradigm demonstrates potential for improved throughput with a greater number of unique stimuli. A wearable soft platform featuring dry needle electrodes and shielded stretchable interconnects enables high throughput decoding of steady-state visually evoked potentials (SSVEP) for a text spelling interface. A combination of skin-conformal electrodes and soft materials offers high-quality recordings of SSVEP with minimal motion artifacts, validated by comparing the performance with a conventional wearable system. A deep-learning algorithm provides real-time classification, with an accuracy of 78.93% for 0.8 s and 91.73% for 2 s with 33 classes from nine human subjects, allowing for a successful demonstration of VR text spelling and navigation of a real-world environment. With as few as only four data recording channels, the system demonstrates a highly competitive information transfer rate (243.6 bit/min). Collectively, the VR-enabled soft system offers unique advantages in wireless, real-time monitoring of brain signals for portable BCI, neurological rehabilitation, and disease diagnosis.
Keyword:
ELECTRODE
SYSTEMS
期刊
IF:
10.5
论文数:
1.8W
被引数:
7.7W
机构
引用论文
Wireless Soft Scalp Electronics and Virtual Reality System for Motor Imagery-Based Brain-Machine Interfaces.png)
ADVANCED SCIENCE
OAAI
ADVANCED SCIENCEIF14.1
OAAI分享收藏Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials用于异步稳态视觉诱发电位分类的紧凑型卷积神经网络OAAI
OAAI分享收藏分享收藏Soft, curved electrode systems capable of integration on the auricle as a persistent brain-computer interface柔软，弯曲的电极系统，能够作为持久的脑机接口集成在耳廓上OAAI
OAAI分享收藏Review of Wireless and Wearable Electroencephalogram Systems and Brain-Computer Interfaces - A Mini-ReviewGERONTOLOGYOAAI
GERONTOLOGYIF3
OAAI分享收藏分享收藏Fully portable and wireless universal brain-machine interfaces enabled by flexible scalp electronics and deep learning algorithm通过灵活的头皮电子设备和深度学习算法实现的完全便携式和无线通用脑机接口
PREAI
分享收藏
查看更多内容