AIMC Topic: Muscle, Skeletal
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Resilience of hierarchical actuators highlighted by a myosin-to-muscle mock-up.
Bioinspiration & biomimetics
Feb 10, 2025
Skeletal muscle is the main actuator of various families of vertebrates (mammals, fish, reptiles). It displays remarkable robustness to micro-damage, that supposedly originates both from its redundant hierarchical structure and its nervous command. A...
Can muscle synergies shed light on the mechanisms underlying motor gains in response to robot-assisted gait training in children with cerebral palsy?
Journal of neuroengineering and rehabilitation
Feb 7, 2025
BACKGROUND: Children with cerebral palsy (CP) often experience gait impairments. Robot-assisted gait training (RGT) has been shown to have beneficial effects in this patient population. However, clinical outcomes of RGT vary substantially from patien...
Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Feb 6, 2025
OBJECTIVE: This study introduces a machine learning approach to automate muscle ultrasound analysis, aiming to improve objectivity and efficiency in segmentation, classification, and Heckmatt grading.
Pre-screening of endomysial microvessel density by fast random forest image processing machine learning algorithm accelerates recognition of a modified vascular network in idiopathic inflammatory myopathies.
Diagnostic pathology
Jan 31, 2025
Biomarkers for discrimination among different subgroups of idiopathic inflammatory myopathies (IIM) are difficult to identify and may involve multiple laboratory tests and time-consuming procedures. We assessed the potential for artificial intelligen...
Monolithic electrostatic actuators with independent stiffness modulation.
Nature communications
Jan 30, 2025
Robotic artificial muscles, inspired by the adaptability of biological muscles, outperform rigid robots in dynamic environments due to their flexibility. However, the intrinsic compliance of the soft actuators restricts force transmission capacity an...
Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface.
Journal of neural engineering
Jan 29, 2025
Creating an intracortical brain computer interface (iBCI) capable of seamless transitions between tasks and contexts would greatly enhance user experience. However, the nonlinearity in neural activity presents challenges to computing a global iBCI de...
A neuromechanics solution for adjustable robot compliance and accuracy.
Science robotics
Jan 22, 2025
Robots have to adjust their motor behavior to changing environments and variable task requirements to successfully operate in the real world and physically interact with humans. Thus, robotics strives to enable a broad spectrum of adjustable motor be...
Predicting lower body joint moments and electromyography signals using ground reaction forces during walking and running: An artificial neural network approach.
Gait & posture
Jan 21, 2025
BACKGROUND: This study leverages Artificial Neural Networks (ANNs) to predict lower limb joint moments and electromyography (EMG) signals from Ground Reaction Forces (GRF), providing a novel perspective on human gait analysis. This approach aims to e...
Merging motoneuron and postural synergies in prosthetic hand design for natural bionic interfacing.
Science robotics
Jan 15, 2025
Despite the advances in bionic reconstruction of missing limbs, the control of robotic limbs is still limited and, in most cases, not felt to be as natural by users. In this study, we introduce a control approach that combines robotic design based on...
Surmounting the ceiling effect of motor expertise by novel sensory experience with a hand exoskeleton.
Science robotics
Jan 15, 2025
For trained individuals such as athletes and musicians, learning often plateaus after extensive training, known as the "ceiling effect." One bottleneck to overcome it is having no prior physical experience with the skill to be learned. Here, we chall...
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