Embedded brain computer interface: state-of-the-art in research
There is a wide area of application that uses cerebral activity to restore capabilities for
people with severe motor disabilities, and actually the number of such systems keeps …
people with severe motor disabilities, and actually the number of such systems keeps …
IENet: a robust convolutional neural network for EEG based brain-computer interfaces
Y Du, J Liu - Journal of neural engineering, 2022 - iopscience.iop.org
Objective. Brain-computer interfaces (BCIs) based on electroencephalogram (EEG) develop
into novel application areas with more complex scenarios, which put forward higher …
into novel application areas with more complex scenarios, which put forward higher …
A motor imagery EEG signal classification algorithm based on recurrence plot convolution neural network
XJ Meng, S Qiu, S Wan, K Cheng, L Cui - Pattern Recognition Letters, 2021 - Elsevier
With the promotion of brain-computer interface technology, it is possible to study brain
control system through EEG signals in recent years. In order to solve the problem of EEG …
control system through EEG signals in recent years. In order to solve the problem of EEG …
[PDF][PDF] 脑电BCI 系统的软硬件开发平台发展现状
谢士遥， 汤佳贝， 蔡雨， 叶阳阳， 许敏鹏… - 电子测量与仪器 …, 2023 - jemi.cnjournals.com
脑-机接口系统(brain-computer interface, BCI) 是一种将大脑活动信息直接转换为人工输出的
系统, 允许用户通过思维活动直接控制外部设备. 脑电图技术(electroencephalogram, EEG) …
系统, 允许用户通过思维活动直接控制外部设备. 脑电图技术(electroencephalogram, EEG) …
Review on software and hardware platforms for EEG-based BCI system
谢士遥， 汤佳贝， 蔡雨， 叶阳阳… - Journal of Electronic …, 2023 - jemi.cnjournals.com
脑-机接口系统 (brain-computer interface, BCI) 是一种将大脑活动信息直接转换为人工输出的
系统, 允许用户通过思维活动直接控制外部设备. 脑电图技术 (electroencephalogram, EEG) …
系统, 允许用户通过思维活动直接控制外部设备. 脑电图技术 (electroencephalogram, EEG) …
Aieeg: Personalized seizure prediction through partially-reconfigurable deep neural networks
With more than 65M people affected by epilepsy worldwide, early prediction and response
to seizure onsets have become more important than ever. Cutting-edge research in …
to seizure onsets have become more important than ever. Cutting-edge research in …
嵌入式系统中运动想象脑-机接口编解码算法综述.
于钦雯， 周王成， 戴亚康， 刘燕 - Journal of Computer …, 2024 - search.ebscohost.com
脑-机接口技术通过在大脑与外部设备之间建立信息传输通路, 使用户能够对外部设备进行直接
控制. 近年来, 基于运动想象范式的脑-机接口编解码算法研究在医疗健康, 教育娱乐及日常生活 …
控制. 近年来, 基于运动想象范式的脑-机接口编解码算法研究在医疗健康, 教育娱乐及日常生活 …
Implementation of neural network-based classification approach on embedded platform
R Sarić, D Jokić, N Beganović - … and Biological Engineering, 16 ̶̶ 18 …, 2020 - Springer
Among a number of challenges present in monitoring systems, an efficient implementation of
complex time-consuming algorithms and an identification of relevant features from gathered …
complex time-consuming algorithms and an identification of relevant features from gathered …
Design of USB Communication Interface Based on Embedded FPGA System
J Zong, C Zhao - … : Theory, Technologies and Applications (FC 2019) 8, 2020 - Springer
In recent years, mainframes or peripherals have been integrated on mainstream embedded
CPU, making these systems easy to use USB for data transmission. With the development of …
CPU, making these systems easy to use USB for data transmission. With the development of …
[PDF][PDF] Embedding Principal Component Analysis Inference in Expert Sensors for Big Data Applications
RMJM Lanza-Gutierrez, T Riesgo - researchgate.net
The increasing relevance of big data applications in fields as the Internet of things and
Industry 4.0 implies that sensors are requested to be secure and accurate. In the last years …
Industry 4.0 implies that sensors are requested to be secure and accurate. In the last years …