Does a combination of virtual reality, neuromodulation and neuroimaging provide a comprehensive platform for neurorehabilitation?–a narrative review of the …

WP Teo, M Muthalib, S Yamin, AM Hendy… - Frontiers in human …, 2016 - frontiersin.org
In the last decade, virtual reality (VR) training has been used extensively in video games
and military training to provide a sense of realism and environmental interaction to its users …

Upper limb rehabilitation using robotic exoskeleton systems: A systematic review

N Rehmat, J Zuo, W Meng, Q Liu, SQ Xie… - International Journal of …, 2018 - Springer
Exoskeleton assisted therapy has been reported as a significant reduction in impairment
and gain in functional abilities of stroke patients. In this paper, we conduct a systematic …

Walking to your right music: a randomized controlled trial on the novel use of treadmill plus music in Parkinson's disease

RS Calabrò, A Naro, S Filoni, M Pullia, L Billeri… - … of neuroengineering and …, 2019 - Springer
Abstract Background Rhythmic Auditory Stimulation (RAS) can compensate for the loss of
automatic and rhythmic movements in patients with idiopathic Parkinson's disease (PD) …

Does hand robotic rehabilitation improve motor function by rebalancing interhemispheric connectivity after chronic stroke? Encouraging data from a randomised …

RS Calabro, M Accorinti, B Porcari, L Carioti… - Clinical …, 2019 - Elsevier
Objective The objective of this study was the evaluation of the clinical and
neurophysiological effects of intensive robot-assisted hand therapy compared to intensive …

Robotic assistive and rehabilitation devices leading to motor recovery in upper limb: a systematic review

S Khalid, F Alnajjar, M Gochoo, A Renawi… - Disability and …, 2023 - Taylor & Francis
Purpose Stroke, spinal cord injury and other neuromuscular disorders lead to impairments in
the human body. Upper limb impairments, especially hand impairments affect activities of …

Predicting human intention-behavior through EEG signal analysis using multi-scale CNN

C Huang, Y Xiao, G Xu - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
At present, the application of Electroencephalogram (EEG) signal classification to human
intention-behavior prediction has become a hot topic in the brain computer interface (BCI) …

Amateur Drones Detection: A machine learning approach utilizing the acoustic signals in the presence of strong interference

Z Uddin, M Altaf, M Bilal, L Nkenyereye… - Computer …, 2020 - Elsevier
Owing to small size, sensing capabilities and autonomous nature, the Unmanned Air
Vehicles (UAVs) have enormous applications in various areas eg, remote sensing …

Use of imperceptible wrist vibration to modulate sensorimotor cortical activity

NJ Seo, K Lakshminarayanan, AW Lauer… - Experimental brain …, 2019 - Springer
Peripheral sensory stimulation has been used as a method to stimulate the sensorimotor
cortex, with applications in neurorehabilitation. To improve delivery modality and usability, a …

Quantification of Upper Limb Motor Recovery and EEG Power Changes after Robot‐Assisted Bilateral Arm Training in Chronic Stroke Patients: A Prospective Pilot …

M Gandolfi, E Formaggio, C Geroin, SF Storti… - Neural …, 2018 - Wiley Online Library
Background. Bilateral arm training (BAT) has shown promise in expediting progress toward
upper limb recovery in chronic stroke patients, but its neural correlates are poorly …

EEG analysis during active and assisted repetitive movements: evidence for differences in neural engagement

G Tacchino, M Gandolla, S Coelli… - … on Neural Systems …, 2016 - ieeexplore.ieee.org
Two key ingredients of a successful neuro-rehabilitative intervention have been identified as
intensive and repetitive training and subject's active participation, which can be coupled in …