Quantitative assessment of hand motor function for post-stroke rehabilitation based on HAGCN and multimodality fusion

C Li, H Yang, L Cheng, F Huang… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Quantitative assessment of hand function can assist therapists in providing appropriate
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 …

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 …

Fusing sEMG and EEG to increase the robustness of hand motion recognition using functional connectivity and GCN

S Yang, M Li, J Wang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
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 …

Quantitative Assessment via Multi-Domain Fusion of Muscle Synergy Associated with Upper-Limb Motor Function for Stroke Rehabilitation

X Li, H Zeng, Y Li, A Song - IEEE Transactions on Biomedical …, 2023 - ieeexplore.ieee.org
Quantitative assessment of upper limb motor function can assist therapists in providing
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 …

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 …

[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 …

A kinematic data based lower limb motor function evaluation method for post-stroke rehabilitation

Z Huang, G Tang, A Kumar, S Mahmoud… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Recent studies have demonstrated that home-based rehabilitation for stroke patients has
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 …