Motor imagery brain–computer interface rehabilitation system enhances upper limb performance and improves brain activity in stroke patients: A clinical study
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Title
Motor imagery brain–computer interface rehabilitation system enhances upper limb performance and improves brain activity in stroke patients: A clinical study
Authors
Keywords
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Journal
Frontiers in Human Neuroscience
Volume 17, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2023-03-14
DOI
10.3389/fnhum.2023.1117670
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Note: Only part of the references are listed.- EEG-Based Brain Network Analysis of Chronic Stroke Patients After BCI Rehabilitation Training
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- A survey of brain network analysis by electroencephalographic signals
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- EEG feature fusion for motor imagery: A new robust framework towards stroke patients rehabilitation
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- Identifying emotional contributors to participation post-stroke
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- Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application
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- Hyper-acute EEG alterations predict functional and morphological outcomes in thrombolysis-treated ischemic stroke: a wireless EEG study
- (2020) Miloš Ajčević et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- BCI Monitor Enhances Electroencephalographic and Cerebral Hemodynamic Activations During Motor Training
- (2019) Zhongpeng Wang et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Time course of sensorimotor cortex reorganization during upper extremity task accompanying motor recovery early after stroke: An fNIRS study
- (2019) Marion Delorme et al. RESTORATIVE NEUROLOGY AND NEUROSCIENCE
- Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke
- (2018) A. Biasiucci et al. Nature Communications
- Motor Imagery-Based Brain-Computer Interface Coupled to a Robotic Hand Orthosis Aimed for Neurorehabilitation of Stroke Patients
- (2018) Jessica Cantillo-Negrete et al. Journal of Healthcare Engineering
- Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis
- (2018) María A. Cervera et al. Annals of Clinical and Translational Neurology
- A comprehensive review of EEG-based brain–computer interface paradigms
- (2018) Reza Abiri et al. Journal of Neural Engineering
- Facilitating Effects of Transcranial Direct Current Stimulation on Motor Imagery Brain-Computer Interface With Robotic Feedback for Stroke Rehabilitation
- (2015) Kai Keng Ang et al. ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
- Motor imagery-induced EEG patterns in individuals with spinal cord injury and their impact on brain–computer interface accuracy
- (2014) G R Müller-Putz et al. Journal of Neural Engineering
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