Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review

PDE Baniqued, EC Stanyer, M Awais… - … of neuroengineering and …, 2021 - Springer
Background Hand rehabilitation is core to helping stroke survivors regain activities of daily
living. Recent studies have suggested that the use of electroencephalography-based brain …

Combined use of EMG and EEG techniques for neuromotor assessment in rehabilitative applications: A systematic review

C Brambilla, I Pirovano, RM Mira, G Rizzo, A Scano… - Sensors, 2021 - mdpi.com
Electroencephalography (EEG) and electromyography (EMG) are widespread and well-
known quantitative techniques used for gathering biological signals at cortical and muscular …

An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation

A Chowdhury, H Raza, YK Meena, A Dutta… - Journal of neuroscience …, 2019 - Elsevier
Background Corticomuscular coupling has been investigated for long, to find out the
underlying mechanisms behind cortical drives to produce different motor tasks. Although …

A virtual reality muscle–computer interface for neurorehabilitation in chronic stroke: A pilot study

O Marin-Pardo, CM Laine, M Rennie, KL Ito, J Finley… - Sensors, 2020 - mdpi.com
Severe impairment of limb movement after stroke can be challenging to address in the
chronic stage of stroke (eg, greater than 6 months post stroke). Recent evidence suggests …

Online covariate shift detection-based adaptive brain–computer interface to trigger hand exoskeleton feedback for neuro-rehabilitation

A Chowdhury, H Raza, YK Meena… - … on Cognitive and …, 2017 - ieeexplore.ieee.org
A major issue in electroencephalogram (EEG)-based brain-computer interfaces (BCIs) is the
intrinsic nonstationarities in the brain waves, which may degrade the performance of the …

EEG-EMG based hybrid brain computer interface for triggering hand exoskeleton for neuro-rehabilitation

A Chowdhury, H Raza, A Dutta, G Prasad - Proceedings of the 2017 3rd …, 2017 - dl.acm.org
Traditionally a Brain-Computer Interface (BCI) system uses Electroencephalogram (EEG)
signals for communication and control applications. In recent years different biological …

Role of the ipsilateral primary motor cortex in the visuo-motor network during fine contractions and accurate performance

C Porcaro, SD Mayhew, AP Bagshaw - International Journal of …, 2021 - World Scientific
It is widely recognized that continuous sensory feedback plays a crucial role in accurate
motor control in everyday life. Feedback information is used to adapt force output and to …

[HTML][HTML] Functional and neuromuscular changes induced via a low-cost, muscle-computer interface for telerehabilitation: A feasibility study in chronic stroke

O Marin-Pardo, MR Donnelly, CS Phanord… - Frontiers in …, 2022 - frontiersin.org
Stroke is a leading cause of adult disability in the United States. High doses of repeated task-
specific practice have shown promising results in restoring upper limb function in chronic …

Corticomuscular co-activation based hybrid brain-computer interface for motor recovery monitoring

A Chowdhury, A Dutta, G Prasad - Ieee Access, 2020 - ieeexplore.ieee.org
The effect of corticomuscular coactivation based hybrid brain-computer interface (h-BCI) on
post-stroke neurorehabilitation has not been explored yet. A major challenge in this area is …

[HTML][HTML] 脑肌电信号同步耦合分析方法研究进展

素姣李, 苏刘, 贺蓝, 洪流喻 - Sheng Wu Yi Xue Gong Cheng Xue …, 2019 - ncbi.nlm.nih.gov
运动神经系统通过神经振荡活动传递运动控制信息, 从而引起相应肌肉的同步性振荡活动并
反映运动响应信息, 然后反馈至大脑皮层, 使其能够感知肢体的状态。 这种同步振荡活动可 …