A review of critical challenges in MI-BCI: From conventional to deep learning methods
Brain-computer interfaces (BCIs) have achieved significant success in controlling external
devices through the Electroencephalogram (EEG) signal processing. BCI-based Motor …
devices through the Electroencephalogram (EEG) signal processing. BCI-based Motor …
Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis
Background A substantial number of clinical studies have demonstrated the functional
recovery induced by the use of brain-computer interface (BCI) technology in patients after …
recovery induced by the use of brain-computer interface (BCI) technology in patients after …
A transfer learning-based CNN and LSTM hybrid deep learning model to classify motor imagery EEG signals
Abstract In the Motor Imagery (MI)-based Brain Computer Interface (BCI), users' intention is
converted into a control signal through processing a specific pattern in brain signals …
converted into a control signal through processing a specific pattern in brain signals …
A highly stable electrode with low electrode-skin impedance for wearable brain-computer interface
To date, brain-computer interfaces (BCIs) have proved to play a key role in many medical
applications, for example, the rehabilitation of stroke patients. For post-stroke rehabilitation …
applications, for example, the rehabilitation of stroke patients. For post-stroke rehabilitation …
Application of continuous wavelet transform and convolutional neural network in decoding motor imagery brain-computer interface
HK Lee, YS Choi - Entropy, 2019 - mdpi.com
The motor imagery-based brain-computer interface (BCI) using electroencephalography
(EEG) has been receiving attention from neural engineering researchers and is being …
(EEG) has been receiving attention from neural engineering researchers and is being …
Neuroimaging of human balance control: a systematic review
E Wittenberg, J Thompson, CS Nam… - Frontiers in human …, 2017 - frontiersin.org
This review examined 83 articles using neuroimaging modalities to investigate the neural
correlates underlying static and dynamic human balance control, with aims to support future …
correlates underlying static and dynamic human balance control, with aims to support future …
Separated channel convolutional neural network to realize the training free motor imagery BCI systems
In the recent context of Brain-computer interface (BCI), it has been widely known that
transferring the knowledge of existing subjects to a new subject can effectively alleviate the …
transferring the knowledge of existing subjects to a new subject can effectively alleviate the …
The effect of combining action observation in virtual reality with kinesthetic motor imagery on cortical activity
Introduction In the past, various techniques have been used to improve motor imagery (MI),
such as immersive virtual-reality (VR) and kinesthetic rehearsal. While …
such as immersive virtual-reality (VR) and kinesthetic rehearsal. While …
Application of BCI systems in neurorehabilitation: a scoping review
Purpose: To review various types of electroencephalographic activities of the brain and
present an overview of brain–computer interface (BCI) systems' history and their …
present an overview of brain–computer interface (BCI) systems' history and their …
Observing actions through immersive virtual reality enhances motor imagery training
Visual information plays an essential role in enhancing neural activity during mental
practices. Previous research has shown that using different visual scenarios during mental …
practices. Previous research has shown that using different visual scenarios during mental …