[HTML][HTML] BCI for stroke rehabilitation: motor and beyond
Stroke is one of the leading causes of long-term disability among adults and contributes to
major socio-economic burden globally. Stroke frequently results in multifaceted impairments …
major socio-economic burden globally. Stroke frequently results in multifaceted impairments …
[HTML][HTML] Rewiring the lesioned brain: electrical stimulation for post-stroke motor restoration
S Bao, A Khan, R Song, RK Tong - Journal of stroke, 2020 - ncbi.nlm.nih.gov
Electrical stimulation has been extensively applied in post-stroke motor restoration, but its
treatment mechanisms are not fully understood. Stimulation of neuromotor control system at …
treatment mechanisms are not fully understood. Stimulation of neuromotor control system at …
An end-to-end deep learning approach to MI-EEG signal classification for BCIs
H Dose, JS Møller, HK Iversen… - Expert Systems with …, 2018 - Elsevier
Goal: To develop and implement a Deep Learning (DL) approach for an
electroencephalogram (EEG) based Motor Imagery (MI) Brain-Computer Interface (BCI) …
electroencephalogram (EEG) based Motor Imagery (MI) Brain-Computer Interface (BCI) …
[HTML][HTML] Filtering techniques for channel selection in motor imagery EEG applications: a survey
Brain computer interface (BCI) systems are used in a wide range of applications such as
communication, neuro-prosthetic and environmental control for disabled persons using …
communication, neuro-prosthetic and environmental control for disabled persons using …
[HTML][HTML] Brain computer interfaces for neurorehabilitation–its current status as a rehabilitation strategy post-stroke
The idea of using brain computer interfaces (BCI) for rehabilitation emerged relatively
recently. Basically, BCI for neurorehabilitation involves the recording and decoding of local …
recently. Basically, BCI for neurorehabilitation involves the recording and decoding of local …
[HTML][HTML] Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study
Background There is now sufficient evidence that using a rehabilitation protocol involving
motor imagery (MI) practice in conjunction with physical practice (PP) of goal-directed …
motor imagery (MI) practice in conjunction with physical practice (PP) of goal-directed …
[HTML][HTML] EEG classification of different imaginary movements within the same limb
The task of discriminating the motor imagery of different movements within the same limb
using electroencephalography (EEG) signals is challenging because these imaginary …
using electroencephalography (EEG) signals is challenging because these imaginary …
Ensemble regularized common spatio-spectral pattern (ensemble RCSSP) model for motor imagery-based EEG signal classification
MN Cherloo, HK Amiri, MR Daliri - Computers in biology and medicine, 2021 - Elsevier
Abstract The Brain-Computer interface system provides a communication path among the
brain and computer, and recently, it is the subject of increasing attention. One of the most …
brain and computer, and recently, it is the subject of increasing attention. One of the most …
Decoding of finger trajectory from ECoG using deep learning
Objective. Conventional decoding pipeline for brain–machine interfaces (BMIs) consists of
chained different stages of feature extraction, time-frequency analysis and statistical learning …
chained different stages of feature extraction, time-frequency analysis and statistical learning …
Rehabilitation of hand in subacute tetraplegic patients based on brain computer interface and functional electrical stimulation: a randomised pilot study
BCA Osuagwu, L Wallace, M Fraser… - Journal of neural …, 2016 - iopscience.iop.org
Objective. To compare neurological and functional outcomes between two groups of
hospitalised patients with subacute tetraplegia. Approach. Seven patients received 20 …
hospitalised patients with subacute tetraplegia. Approach. Seven patients received 20 …