Sport biomechanics applications using inertial, force, and EMG sensors: A literature overview

J Taborri, J Keogh, A Kos, A Santuz… - Applied bionics and …, 2020 - Wiley Online Library
In the last few decades, a number of technological developments have advanced the spread
of wearable sensors for the assessment of human motion. These sensors have been also …

Non-negative matrix factorisation is the most appropriate method for extraction of muscle synergies in walking and running

MF Rabbi, C Pizzolato, DG Lloyd, CP Carty… - Scientific reports, 2020 - nature.com
Muscle synergies provide a simple description of a complex motor control mechanism.
Synergies are extracted from muscle activation patterns using factorisation methods. Despite …

[HTML][HTML] Practical photoacoustic tomography: realistic limitations and technical solutions

W Choi, D Oh, C Kim - Journal of Applied Physics, 2020 - pubs.aip.org
This article offers a perspective on photoacoustic tomography (PAT) under realistic
scenarios. While PAT has gained much attention in preclinical and clinical research, most …

Sar: Generalization of physiological agility and dexterity via synergistic action representation

C Berg, V Caggiano, V Kumar - Autonomous Robots, 2024 - Springer
Learning effective continuous control policies in high-dimensional systems, including
musculoskeletal agents, remains a significant challenge. Over the course of biological …

Intra-subject and inter-subject movement variability quantified with muscle synergies in upper-limb reaching movements

K Zhao, Z Zhang, H Wen, A Scano - Biomimetics, 2021 - mdpi.com
Quantifying movement variability is a crucial aspect for clinical and laboratory investigations
in several contexts. However, very few studies have assessed, in detail, the intra-subject …

Alterations of muscle synergies during voluntary arm reaching movement in subacute stroke survivors at different levels of impairment

B Pan, Y Sun, B Xie, Z Huang, J Wu, J Hou… - Frontiers in …, 2018 - frontiersin.org
Motor system uses muscle synergies as a modular organization to simplify the control of
movements. Motor cortical impairments, such as stroke and spinal cord injuries, disrupt the …

Variability of muscle synergies in hand grasps: Analysis of intra-and inter-session data

U Pale, M Atzori, H Müller, A Scano - Sensors, 2020 - mdpi.com
Background. Muscle synergy analysis is an approach to understand the neurophysiological
mechanisms behind the hypothesized ability of the Central Nervous System (CNS) to reduce …

Muscle coordination and recruitment during squat assistance using a robotic ankle–foot exoskeleton

H Jeong, P Haghighat, P Kantharaju, M Jacobson… - Scientific Reports, 2023 - nature.com
Squatting is an intensive activity routinely performed in the workplace to lift and lower loads.
The effort to perform a squat can decrease using an exoskeleton that considers individual …

Low-rank modular reinforcement learning via muscle synergy

H Dong, T Wang, J Liu, C Zhang - Advances in Neural …, 2022 - proceedings.neurips.cc
Abstract Modular Reinforcement Learning (RL) decentralizes the control of multi-joint robots
by learning policies for each actuator. Previous work on modular RL has proven its ability to …

A muscle synergy-inspired method of detecting human movement intentions based on wearable sensor fusion

YX Liu, R Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Detecting human movement intentions is fundamental to neural control of robotic
exoskeletons, as it is essential for achieving seamless transitions between different …