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 assessment of upper-limb motor function for post-stroke rehabilitation based on motor synergy analysis and multi-modality fusion
C Wang, L Peng, ZG Hou, J Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Functional assessment is an essential part of rehabilitation protocols after stroke.
Conventionally, the assessment process relies heavily on clinical experience and lacks …
Conventionally, the assessment process relies heavily on clinical experience and lacks …
Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
HK Thakkar, W Liao, C Wu, YW Hsieh… - … of NeuroEngineering and …, 2020 - Springer
Background Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …
decisions and planning. Machine learning has been proposed to be a promising technique …
Fusing sEMG and EEG to increase the robustness of hand motion recognition using functional connectivity and GCN
Surface electromyogram (sEMG) is widely used in active rehabilitation control for stroke
patients. However, the accuracy of movement recognition using sEMG signals is affected by …
patients. However, the accuracy of movement recognition using sEMG signals is affected by …
Quantitative Assessment via Multi-Domain Fusion of Muscle Synergy Associated with Upper-Limb Motor Function for Stroke Rehabilitation
Quantitative assessment of upper limb motor function can assist therapists in providing
appropriate rehabilitation strategies, which plays an essential role in post-stroke …
appropriate rehabilitation strategies, which plays an essential role in post-stroke …
Activities of daily living-based rehabilitation system for arm and hand motor function retraining after stroke
X Song, SS Van De Ven, L Liu… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Most stroke survivors have difficulties completing activities of daily living (ADLs)
independently. However, few rehabilitation systems have focused on ADLs-related training …
independently. However, few rehabilitation systems have focused on ADLs-related training …
Quantitative evaluation system of wrist motor function for stroke patients based on force feedback
K Ding, B Zhang, Z Ling, J Chen, L Guo, D Xiong… - Sensors, 2022 - mdpi.com
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 …
[HTML][HTML] Proposal of a wearable multimodal sensing-based serious games approach for hand movement training after stroke
X Song, SS van de Ven, S Chen, P Kang… - Frontiers in …, 2022 - frontiersin.org
Stroke often leads to hand motor dysfunction, and effective rehabilitation requires keeping
patients engaged and motivated. Among the existing automated rehabilitation approaches …
patients engaged and motivated. Among the existing automated rehabilitation approaches …
A kinematic data based lower limb motor function evaluation method for post-stroke rehabilitation
Recent studies have demonstrated that home-based rehabilitation for stroke patients has
excellent potential in reducing the cost and enhancing rehabilitation efficiency. Nonetheless …
excellent potential in reducing the cost and enhancing rehabilitation efficiency. Nonetheless …
EEG-based functional connectivity to analyze motor recovery after stroke: a pilot study
S Eldeeb, M Akcakaya, M Sybeldon, S Foldes… - … Signal Processing and …, 2019 - Elsevier
In this paper, we introduce electroencephalography (EEG)-PDC based network connectivity
average mean degrees (E-PDC) measure to analyze the interhemispheric interaction …
average mean degrees (E-PDC) measure to analyze the interhemispheric interaction …