Past, present, and future of EEG-based BCI applications
K Värbu, N Muhammad, Y Muhammad - Sensors, 2022 - mdpi.com
An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …
provides a pathway between the brain and external devices by interpreting EEG. EEG …
[HTML][HTML] Human-robot interaction in rehabilitation and assistance: a review
A Mohebbi - Current Robotics Reports, 2020 - Springer
Abstract Purpose of Review Research in assistive and rehabilitation robotics is a growing,
promising, and challenging field emerged due to various social and medical needs such as …
promising, and challenging field emerged due to various social and medical needs such as …
Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …
any physical movement, thus aiding people with severe motor disabilities in communicating …
Hybrid human-machine interface for gait decoding through Bayesian fusion of EEG and EMG classifiers
Despite the advances in the field of brain computer interfaces (BCI), the use of the sole
electroencephalography (EEG) signal to control walking rehabilitation devices is currently …
electroencephalography (EEG) signal to control walking rehabilitation devices is currently …
[HTML][HTML] Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface
The non-stationary nature of electroencephalography (EEG) signals makes an EEG-based
brain-computer interface (BCI) a dynamic system, thus improving its performance is a …
brain-computer interface (BCI) a dynamic system, thus improving its performance is a …
Non-invasive human-machine interface (HMI) systems with hybrid on-body sensors for controlling upper-limb prosthesis: A review
H Zhou, G Alici - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In this work, we present a systematic review on non-invasive HMIs employing hybrid
wearable sensor modalities for recognition of upper limb intentions. Different combinations …
wearable sensor modalities for recognition of upper limb intentions. Different combinations …
Active physical practice followed by mental practice using BCI-driven hand exoskeleton: a pilot trial for clinical effectiveness and usability
Appropriately combining mental practice (MP) and physical practice (PP) in a poststroke
rehabilitation is critical for ensuring a substantially positive rehabilitation outcome. Here, we …
rehabilitation is critical for ensuring a substantially positive rehabilitation outcome. Here, we …
Design, development, and testing of an intelligent wearable robotic exoskeleton prototype for upper limb rehabilitation
Neuromotor rehabilitation and recovery of upper limb functions are essential to improve the
life quality of patients who have suffered injuries or have pathological sequels, where it is …
life quality of patients who have suffered injuries or have pathological sequels, where it is …
Online covariate shift detection-based adaptive brain–computer interface to trigger hand exoskeleton feedback for neuro-rehabilitation
A major issue in electroencephalogram (EEG)-based brain-computer interfaces (BCIs) is the
intrinsic nonstationarities in the brain waves, which may degrade the performance of the …
intrinsic nonstationarities in the brain waves, which may degrade the performance of the …
Hand-exoskeleton assisted progressive neurorehabilitation using impedance adaptation based challenge level adjustment method
This paper presents an underactuated design of a robotic hand exoskeleton, and a
challenge based neurorehabilitation strategy. The exoskeleton is designed to reproduce …
challenge based neurorehabilitation strategy. The exoskeleton is designed to reproduce …