A review: motor rehabilitation after stroke with control based on human intent

M Li, G Xu, J Xie, C Chen - … Part H: Journal of Engineering in …, 2018 - journals.sagepub.com
Strokes are a leading cause of acquired disability worldwide, and there is a significant need
for novel interventions and further research to facilitate functional motor recovery in stroke …

An attention-controlled hand exoskeleton for the rehabilitation of finger extension and flexion using a rigid-soft combined mechanism

M Li, B He, Z Liang, CG Zhao, J Chen, Y Zhuo… - Frontiers in …, 2019 - frontiersin.org
Hand rehabilitation exoskeletons are in need of improving key features such as simplicity,
compactness, bi-directional actuation, low cost, portability, safe human-robotic interaction …

Decoding hand motor imagery tasks within the same limb from eeg signals using deep learning

D Achanccaray, M Hayashibe - IEEE Transactions on Medical …, 2020 - ieeexplore.ieee.org
Motor imagery (MI) tasks of different body parts have been successfully decoded by
conventional classifiers, such as LDA and SVM. On the other hand, decoding MI tasks within …

[图书][B] Нейротехнологии: Нейро-БОС и интерфейс «мозг–компьютер»

В Кирой, Д Лазуренко, И Шепелев, Е Асланян… - 2018 - books.google.com
Монография посвящена проблемам, связанным с разработкой неинвазивных форм
интерфейсов «мозг–компьютер»(ИМК или BCI-brain-computer interface) …

[PDF][PDF] 基于人机信息交互的助行外骨骼机器人技术进展

明东, 蒋晟龙, 王忠鹏, 綦宏志, 万柏坤 - 自动化学报, 2017 - aas.net.cn
摘要外骨骼机器人是集人体信息检测, 机器人自动控制, 神经工程等多学科知识于一身的高科技
成果. 本文简要介绍了外骨骼机器人研发技术现状和应用市场前景, 分别从外骨骼动力驱动和 …

Combining action observation treatment with a brain–computer interface system: Perspectives on neurorehabilitation

F Rossi, F Savi, A Prestia, A Mongardi, D Demarchi… - Sensors, 2021 - mdpi.com
Action observation treatment (AOT) exploits a neurophysiological mechanism, matching an
observed action on the neural substrates where that action is motorically represented. This …

BCI-based strategies on stroke rehabilitation with avatar and FES feedback

Z Qiu, S Chen, I Daly, J Jia, X Wang, J Jin - arXiv preprint arXiv …, 2018 - arxiv.org
Stroke is the leading cause of serious and long-term disability worldwide. Some studies
have shown that motor imagery (MI) based BCI has a positive effect in poststroke …

A hybrid MI-SSVEP based brain computer interface for potential upper limb neurorehabilitation: a pilot study

C McGeady, A Vučković… - 2019 7th International …, 2019 - ieeexplore.ieee.org
This pilot study implements a hybrid BCI system in an effort to deduce the effects of
measuring more than one brain signal in a motor imagery (MI) task. In addition to …

Motor imagery based Brain Computer Interface paradigm for upper limb stroke rehabilitation

J Petersen, HK Iversen… - 2018 40th Annual …, 2018 - ieeexplore.ieee.org
Motor Imagery (MI) based Brain Computer Interface (BCI) systems have shown potential to
serve as a tool for neurorehabilitation for post stroke patients to complement the standard …

Differences in motor imagery activity between the paretic and non-paretic hands in stroke patients using an eeg bci

Z Qiu, S Chen, BZ Allison, J Jia, X Wang… - … , AC 2017, Held as Part of …, 2017 - Springer
Stroke is the leading cause of serious and long-term disability worldwide. Stroke survivors
may recover some motor function after rehabilitation therapy. Many studies have shown that …