In recent years, brain-based technologies that capitalise on human abilities to facilitate
human–system/robot interactions have been actively explored, especially in brain robotics …

Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the
world. Because COPD is an incurable disease and requires considerable time to be …

Stroke is the second foremost cause of death worldwide and is one of the most common
causes of disability. Several approaches have been proposed to manage stroke patient …

Currently, electromyographic (EMG) signal gesture recognition is performed with devices of
many channels. Each channel gives a signal that must be filtered and processed, which …

The classification of imbalanced datasets, especially in medicine, is a major problem in data
mining. Such a problem is evident in analyzing normal and abnormal subjects about knee …

Detection of abnormal gait patterns using wearable sensors remains a major challenge in
clinical gait analysis and rehabilitation field. Despite the success of recent researches using …

The motor imagery electroencephalography (MI-EEG) reflects the subjective motor intention,
which has received increasing attention in rehabilitation. How to extract the features of MI …

Deep learning with convolutional neural networks (ConvNets) has dramatically improved the
learning capabilities of computer vision applications just through considering raw data …

This article provides a comprehensive review of the current state of noninvasive brain
imaging and brain stimulation in motor rehabilitation after stroke. The functional organization …

Post-stroke patients need ongoing rehabilitation to restore dysfunction caused by an attack
so that a monitoring device is required. EEG signals reflect electrical activity in the brain …