Sensors and actuation technologies in exoskeletons: A review

M Tiboni, A Borboni, F Vérité, C Bregoli, C Amici - Sensors, 2022 - mdpi.com
Exoskeletons are robots that closely interact with humans and that are increasingly used for
different purposes, such as rehabilitation, assistance in the activities of daily living (ADLs) …

Brain–computer interface-controlled exoskeletons in clinical neurorehabilitation: ready or not?

A Colucci, M Vermehren, A Cavallo… - … and neural repair, 2022 - journals.sagepub.com
The development of brain–computer interface-controlled exoskeletons promises new
treatment strategies for neurorehabilitation after stroke or spinal cord injury. By converting …

Emerging trends in BCI-robotics for motor control and rehabilitation

N Robinson, R Mane, T Chouhan, C Guan - Current Opinion in Biomedical …, 2021 - Elsevier
Neuroengineering research over the last two decades has demonstrated promising
evidence on the use of brain-computer interface (BCI) to enhance functional recovery and …

Virtual/augmented reality for rehabilitation applications using electromyography as control/biofeedback: systematic literature review

CL Toledo-Peral, G Vega-Martínez… - Electronics, 2022 - mdpi.com
Virtual reality (VR) and augmented reality (AR) are engaging interfaces that can be of benefit
for rehabilitation therapy. However, they are still not widely used, and the use of surface …

Modulation of neural co-firing to enhance network transmission and improve motor function after stroke

K Ganguly, P Khanna, RJ Morecraft, DJ Lin - Neuron, 2022 - cell.com
Stroke is a leading cause of disability. While neurotechnology has shown promise for
improving upper limb recovery after stroke, efficacy in clinical trials has been variable. Our …

Development of a low-cost EEG-controlled hand exoskeleton 3D printed on textiles

RS Araujo, CR Silva, SPN Netto, E Morya… - Frontiers in …, 2021 - frontiersin.org
Stroke survivors can be affected by motor deficits in the hand. Robotic equipment associated
with brain–machine interfaces (BMI) may aid the motor rehabilitation of these patients. BMIs …

Relation between EEG measures and upper limb motor recovery in stroke patients: a scoping review

G Milani, A Antonioni, A Baroni, P Malerba, S Straudi - Brain Topography, 2022 - Springer
Current clinical practice does not leverage electroencephalography (EEG) measurements in
stroke patients, despite its potential to contribute to post-stroke recovery predictions. We …

Determining optimal mobile neurofeedback methods for motor neurorehabilitation in children and adults with non-progressive neurological disorders: a scoping …

A Behboodi, WA Lee, VS Hinchberger… - … of neuroengineering and …, 2022 - Springer
Background Brain–computer interfaces (BCI), initially designed to bypass the peripheral
motor system to externally control movement using brain signals, are additionally being …

CNN-based prognosis of BCI rehabilitation using EEG from first session BCI training

PJ Lin, T Jia, C Li, T Li, C Qian, Z Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Stroke is a world-leading disease for causing disability. Brain-computer interaction (BCI)
training has been proved to be a promising method in facilitating motor recovery. However …

Toward an adapted neurofeedback for post-stroke motor rehabilitation: state of the art and perspectives

S Le Franc, G Herrera Altamira, M Guillen… - Frontiers in Human …, 2022 - frontiersin.org
Stroke is a severe health issue, and motor recovery after stroke remains an important
challenge in the rehabilitation field. Neurofeedback (NFB), as part of a brain–computer …