Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation
Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …
Wearable and flexible textile electrodes for biopotential signal monitoring: A review
Wearable electronics is a rapidly growing field that recently started to introduce successful
commercial products into the consumer electronics market. Employment of biopotential …
commercial products into the consumer electronics market. Employment of biopotential …
EEG dataset and OpenBMI toolbox for three BCI paradigms: An investigation into BCI illiteracy
Background Electroencephalography (EEG)-based brain-computer interface (BCI) systems
are mainly divided into three major paradigms: motor imagery (MI), event-related potential …
are mainly divided into three major paradigms: motor imagery (MI), event-related potential …
EEG datasets for motor imagery brain–computer interface
Background: Most investigators of brain–computer interface (BCI) research believe that BCI
can be achieved through induced neuronal activity from the cortex, but not by evoked …
can be achieved through induced neuronal activity from the cortex, but not by evoked …
Single-trial analysis and classification of ERP components—a tutorial
Analyzing brain states that correspond to event related potentials (ERPs) on a single trial
basis is a hard problem due to the high trial-to-trial variability and the unfavorable ratio …
basis is a hard problem due to the high trial-to-trial variability and the unfavorable ratio …
[HTML][HTML] Bedside detection of awareness in the vegetative state: a cohort study
Background Patients diagnosed as vegetative have periods of wakefulness, but seem to be
unaware of themselves or their environment. Although functional MRI (fMRI) studies have …
unaware of themselves or their environment. Although functional MRI (fMRI) studies have …
A parallel multiscale filter bank convolutional neural networks for motor imagery EEG classification
Objective Electroencephalogram (EEG) based brain–computer interfaces (BCI) in motor
imagery (MI) have developed rapidly in recent years. A reliable feature extraction method is …
imagery (MI) have developed rapidly in recent years. A reliable feature extraction method is …
Performance variation in motor imagery brain–computer interface: a brief review
Brain–computer interface (BCI) technology has attracted significant attention over recent
decades, and has made remarkable progress. However, BCI still faces a critical hurdle, in …
decades, and has made remarkable progress. However, BCI still faces a critical hurdle, in …
Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke
The objective of this study was to investigate the efficacy of an Electroencephalography
(EEG)-based Motor Imagery (MI) Brain-Computer Interface (BCI) coupled with a Haptic Knob …
(EEG)-based Motor Imagery (MI) Brain-Computer Interface (BCI) coupled with a Haptic Knob …
Combining brain–computer interfaces and assistive technologies: state-of-the-art and challenges
In recent years, new research has brought the field of electroencephalogram (EEG)-based
brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity …
brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity …