Nonlinear functional muscle network based on information theory tracks sensorimotor integration post stroke

R O'Keeffe, SY Shirazi, S Bilaloglu, S Jahed… - Scientific reports, 2022 - nature.com
Sensory information is critical for motor coordination. However, understanding sensorimotor
integration is complicated, especially in individuals with impairment due to injury to the …

Perilaryngeal functional muscle network in patients with vocal hyperfunction-a case study

R O'Keeffe, SY Shirazi, S Mehrdad… - 2023 11th …, 2023 - ieeexplore.ieee.org
Patients with both phonotraumatic and non-phonotraumatic dysphonia commonly present
with vocal hyperfunction, defined as excessive perilaryngeal muscle activity and …

Modeling the influence of the extrinsic musculature on phonation

MA Serry, GA Alzamendi, M Zañartu… - … and modeling in …, 2023 - Springer
Neck muscles play important roles in various physiological tasks, including swallowing,
head stabilization, and phonation. The mechanisms by which neck muscles influence …

Synergistic Functional Muscle Networks Reveal the Passivity Behavior of the Upper-Limb in Physical Human-Robot Interaction

S Oliver, SF Atashzar - IEEE Robotics and Automation Letters, 2024 - ieeexplore.ieee.org
Utilizing the intrinsic capability of the human upper limb to absorb energy during kinesthetic
human-robot interaction could allow for improved haptic feedback fidelity and reduce the …

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 …

FiMReSt: Finite Mixture of Multivariate Regulated Skew-t Kernels--A Flexible Probabilistic Model for Multi-Clustered Data with Asymmetrically-Scattered Non-Gaussian …

S Mehrdad, SF Atashzar - arXiv preprint arXiv:2305.09071, 2023 - arxiv.org
Recently skew-t mixture models have been introduced as a flexible probabilistic modeling
technique taking into account both skewness in data clusters and the statistical degree of …