Muscle synergies for evaluating upper limb in clinical applications: A systematic review
K Zhao, Z Zhang, H Wen, B Liu, J Li, A d'Avella… - Heliyon, 2023 - cell.com
Introduction Muscle synergies have been proposed as a strategy employed by the central
nervous system to control movements. Muscle synergy analysis is a well-established …
nervous system to control movements. Muscle synergy analysis is a well-established …
Are muscle synergies useful for stroke rehabilitation?
Modular organization of human movement has been studied for several decades using
muscle synergy analysis. Whether the reduction in control dimensionality calculated by …
muscle synergy analysis. Whether the reduction in control dimensionality calculated by …
Wearable intelligent machine learning rehabilitation assessment for stroke patients compared with clinician assessment
L Guo, B Zhang, J Wang, Q Wu, X Li, L Zhou… - Journal of Clinical …, 2022 - mdpi.com
In order to solve the shortcomings of the current clinical scale assessment for stroke patients,
such as excessive time consumption, strong subjectivity, and coarse grading, this study …
such as excessive time consumption, strong subjectivity, and coarse grading, this study …
Automatic upper-limb brunnstrom recovery stage evaluation via daily activity monitoring
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 …
methods are subjective, heavily depending on the experience of therapists. In light of the …
Quantitative evaluation system of upper limb motor function of stroke patients based on desktop rehabilitation robot
M Zhang, J Chen, Z Ling, B Zhang, Y Yan, D Xiong… - Sensors, 2022 - mdpi.com
Rehabilitation training and movement evaluation after stroke have become a research
hotspot as stroke has become a very common and harmful disease. However, traditional …
hotspot as stroke has become a very common and harmful disease. However, traditional …
Assessing human motion during exercise using machine learning: A literature review
The World Health Organization promotes healthy living through regular physical activities,
such as exercise and sports, as well as access to healthcare and rehabilitation services for …
such as exercise and sports, as well as access to healthcare and rehabilitation services for …
Evidence of synergy coordination patterns of upper-limb motor control in stroke patients with mild and moderate impairment
Objectives: Previous studies showed that the central nervous system (CNS) controls
movements by recruiting a low-dimensional set of modules, usually referred to as muscle …
movements by recruiting a low-dimensional set of modules, usually referred to as muscle …
Quantitative assessment of hand motor function for post-stroke rehabilitation based on HAGCN and multimodality fusion
Quantitative assessment of hand function can assist therapists in providing appropriate
rehabilitation strategies, which plays an essential role in post-stroke rehabilitation …
rehabilitation strategies, which plays an essential role in post-stroke rehabilitation …
Quantitative evaluation system of wrist motor function for stroke patients based on force feedback
Motor function evaluation is a significant part of post-stroke rehabilitation protocols, and the
evaluation of wrist motor function helps provide patients with individualized rehabilitation …
evaluation of wrist motor function helps provide patients with individualized rehabilitation …
STaRNet: A spatio-temporal and Riemannian network for high-performance motor imagery decoding
X Wang, W Yang, W Qi, Y Wang, X Ma, W Wang - Neural Networks, 2024 - Elsevier
Abstract Brain–computer interfaces (BCIs), representing a transformative form of human–
computer interaction, empower users to interact directly with external environments through …
computer interaction, empower users to interact directly with external environments through …