Effects of robot-assisted task-oriented upper limb motor training on neuroplasticity in stroke patients with different degrees of motor dysfunction: a neuroimaging motor …

H Xie, X Li, W Huang, J Yin, C Luo, Z Li… - Frontiers in …, 2022 - frontiersin.org
Introduction Although robot-assisted task-oriented upper limb (UL) motor training had been
shown to be effective for UL functional rehabilitation after stroke, it did not improve UL motor …

Robot-assisted rehabilitation of hand function after stroke: Development of prediction models for reference to therapy

F Baldan, A Turolla, D Rimini, G Pregnolato… - Journal of …, 2021 - Elsevier
Background Recovery of hand function after stroke represents the hardest target for
clinicians. Robot-assisted therapy has been proved to be effective for hand recovery …

Decoding of Motor Coordination Imagery Involving the Lower Limbs by the EEG‐Based Brain Network

Y Fu, Z Zhou, A Gong, Q Qian, L Su… - Computational …, 2021 - Wiley Online Library
Compared with the efficacy of traditional physical therapy, a new therapy utilizing motor
imagery can induce brain plasticity and allows partial recovery of motor ability in patients …

An automated system for motor function assessment in stroke patients using motion sensing technology: A pilot study

B Sheng, X Wang, M Hou, J Huang, S Xiong, Y Zhang - Measurement, 2020 - Elsevier
This study aims to develop and evaluate an automated system for upper-limb motor function
assessment of stroke patients. The proposed system contains one motion tracking …

Automatic upper-limb brunnstrom recovery stage evaluation via daily activity monitoring

L Meng, X Jiang, H Qin, J Fan, Z Zeng… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Motor function assessment is crucial for post-stroke rehabilitation. Conventional evaluation
methods are subjective, heavily depending on the experience of therapists. In light of the …

Machine learning predicts clinically significant health related quality of life improvement after sensorimotor rehabilitation interventions in chronic stroke

WW Liao, YW Hsieh, TH Lee, C Chen, C Wu - Scientific Reports, 2022 - nature.com
Health related quality of life (HRQOL) reflects individuals perceived of wellness in health
domains and is often deteriorated after stroke. Precise prediction of HRQOL changes after …

Sparse adaptive graph convolutional network for leg agility assessment in Parkinson's disease

R Guo, X Shao, C Zhang, X Qian - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Motor disorder is a typical symptom of Parkinson's disease (PD). Neurologists assess the
severity of PD motor symptoms using the clinical rating scale, ie, MDS-UPDRS. However …

Robot-assisted bimanual training improves hand function in patients with subacute stroke: a randomized controlled pilot study

D Ma, X Li, Q Xu, F Yang, Y Feng, W Wang… - Frontiers in …, 2022 - frontiersin.org
Study Design A randomized controlled pilot study. Background Bimanual therapy (BMT) is
an effective neurorehabilitation therapy for the upper limb, but its application to the distal …

Application of Deep Learning Algorithm to Monitor Upper Extremity Task Practice

M Li, G Scronce, C Finetto, K Coupland, M Zhong… - Sensors, 2023 - mdpi.com
Upper extremity hemiplegia is a serious problem affecting the lives of many people post-
stroke. Motor recovery requires high repetitions and quality of task-specific practice …

Image-recognition-based system for precise hand function evaluation

X Huang, X Chen, X Shang, S Zhang, J Jin, S Li… - Displays, 2023 - Elsevier
Hand dysfunction caused by hand injuries, strokes, or other neurological degenerative
diseases such as cervical spondylosis is being increasingly reported. Currently, hand …