脑-机接口
接口(物质)
计算机科学
频道(广播)
无线
Spike(软件开发)
信号(编程语言)
计算机硬件
噪音(视频)
电子工程
工程类
电信
人工智能
脑电图
气泡
程序设计语言
精神科
软件工程
最大气泡压力法
并行计算
心理学
图像(数学)
作者
Chuer Lin,Cheng Han,Jingna Mao,Shan Yu,Zhiwei Zhang
标识
DOI:10.1109/embc40787.2023.10340603
摘要
The implantable brain-computer interface has been widely used in recent years due to its great application potential and research value. Few neural implants have been designed to gather neural spikes, which require a higher sampling frequency than ECoG and LFPs. These systems are still constrained by low channel counts and their bulky size. Furthermore, wire connection is still used in many neural interfaces for further data analysis, facing challenges such as tissue infection, limited movement, and increased noise interference. To address the aforementioned problems, this paper presents a compact multi-channel wireless implantable brain-computer interface system that meets the requirements of spike signals collection and miniaturization. A WiFi module is utilized to transmit information between the system and terminal equipment to eliminate the tethering effects. A 128-channel signal acquisition module, consisting of two pieces of commercial digital electrophysiology amplifier chips, is designed to realize high channel counts for capturing spike events. The proposed system has successfully recorded the analog spike signals from a digital neural signal simulator.
科研通智能强力驱动
Strongly Powered by AbleSci AI