Top-Down and Bottom-Up Mechanisms of Motor Recovery Poststroke

P Raghavan - Physical Medicine and Rehabilitation Clinics, 2023 - pmr.theclinics.com
The annual number of strokes continues to increase particularly among people younger
than 70 years, making it a leading cause of disability. 1, 2 Ischemia from occlusion or severe …

Global synchronization of functional corticomuscular coupling under precise grip tasks using multichannel EEG and EMG signals

X Chen, T Shen, Y Hao, J Zhang, P Xie - Cognitive Neurodynamics, 2024 - Springer
Functional corticomuscular coupling (FCMC), a phenomenon describing the information
interaction between the cortex and muscles, plays an important role in assessing hand …

Neuromuscular conditions in post-stroke ankle-foot dysfunction reflected by surface electromyography

Y Xu, J Wang, S Wang, J Li, Y Hou, A Guo - Journal of NeuroEngineering …, 2024 - Springer
Background Rating scales and linear indices of surface electromyography (sEMG) cannot
quantify all neuromuscular conditions associated with ankle-foot dysfunction in hemiplegic …

A Unified Model for Stroke Recovery and Rehabilitation: Why Now?

P Raghavan - American Journal of Physical Medicine & …, 2023 - journals.lww.com
The current model of stroke care delivery in the United States and in many parts of the world
is fragmented, resulting in lack of continuity of care, inability to track recovery meaningfully …

Decoding invariant spatiotemporal synergy patterns on muscle networks of lower-limb movements via surface electromyographic signals

Y Luo, T Guo, R Wang, S Mu, K Tao - Biomedical Signal Processing and …, 2024 - Elsevier
Muscle network, which enables sport enthusiasts to understand the insightful mechanism in
lower-limb movement, optimizes cross-linked force-generation modes, enhances sports …

Non-parametric functional muscle network as a robust biomarker of fatigue

R O'Keeffe, SY Shirazi, J Yang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Characterization of fatigue using surface electromyography (sEMG) data has been
motivated for rehabilitation and injury-preventative technologies. Current sEMG-based …

The Role of Functional Muscle Networks in Improving Hand Gesture Perception for Human-Machine Interfaces

C Armanini, T Alhanai, FE Shamout… - arXiv preprint arXiv …, 2024 - arxiv.org
Developing accurate hand gesture perception models is critical for various robotic
applications, enabling effective communication between humans and machines and directly …

Lower-Limb Non-Parametric Functional Muscle Network: Test-Retest Reliability Analysis

R O'Keeffe, J Yang, S Mehrdad, S Rao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Functional muscle network analysis has attracted a great deal of interest in recent years,
promising high sensitivity to changes of intermuscular synchronicity, studied mostly for …

Linear versus nonlinear muscle networks: A case study to decode hidden synergistic patterns during dynamic lower-limb tasks

R O'Keeffe, V Rathod, SY Shirazi… - 2023 11th …, 2023 - ieeexplore.ieee.org
This paper, for the first time, compares the behaviors of nonlinear versus linear muscle
networks in decoding hidden peripheral synergistic neural patterns during dynamic …

From contact to cortex: Exploring the neural dynamics of sensorimotor interactions

Y Ali - 2024 - iris.univr.it
This thesis is a detailed study of the neural mechanisms of sensorimotor integration. It is
mainly focused on the interaction between tactile information and action imagination and its …