AIMC Topic: Muscles

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Length Estimation of Pneumatic Artificial Muscle with Optical Fiber Sensor Using Machine Learning.

Sensors (Basel, Switzerland) Apr 1, 2025
A McKibben artificial muscle is a soft actuator driven by air pressure, characterized by its flexibility, lightweight design, and high power-to-weight ratio. We have developed a smart artificial muscle that is capable of sensing its motion. To enable...
Equipment Design Optical Fibers Muscles Neural Networks, Computer Machine Learning Humans
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Applying deep learning algorithms for non-invasive estimation of carotenoid content in the foot muscle of Pacific abalone with different colors.

Food chemistry Mar 21, 2025
Carotenoids are vital pigments influencing both the coloration and health of aquatic organisms, particularly in species such as the Pacific abalone (Haliotis discus hannai). In this study, we identified the major carotenoids in abalone foot muscle us...
Shellfish Carotenoids Muscles Color Gastropoda Animals Deep Learning
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Fast, variable stiffness-induced braided coiled artificial muscles.

Proceedings of the National Academy of Sciences of the United States of America Sep 30, 2024
Biomimetic actuation technologies with high muscle strokes, cycle rates, and work capacities are necessary for robotic systems. We present a muscle type that operates based on changes in muscle stiffness caused by volume expansion. This muscle is cre...
Biomechanical Phenomena Muscle, Skeletal Robotics Humans Muscles Biomimetics Muscle Contraction
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Multifunctional Magnetic Muscles for Soft Robotics.

Nature communications Sep 10, 2024
Despite recent advancements, artificial muscles have not yet been able to strike the right balance between exceptional mechanical properties and dexterous actuation abilities that are found in biological systems. Here, we present an artificial magnet...
Humans Biomechanical Phenomena Magnetics Tensile Strength Muscles Muscle, Skeletal Equipment Design Robotics Stress, Mechanical Magnetic Fields
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Passive wing deployment and retraction in beetles and flapping microrobots.

Nature Jul 31, 2024
Birds, bats and many insects can tuck their wings against their bodies when at rest and deploy them to power flight. Whereas birds and bats use well-developed pectoral and wing muscles, how insects control their wing deployment and retraction remains...
Flight, Animal Wings, Animal Robotics Coleoptera Muscles Reproducibility of Results Animals Biomechanical Phenomena Male Female
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High-performance electrically responsive artificial muscle materials for soft robot actuation.

Acta biomaterialia Jul 23, 2024
Traditional robotic devices are often bulky and rigid, making it difficult for them to adapt to the soft and complex shapes of the human body. In stark contrast, soft robots, as a burgeoning class of robotic technology, showcase exceptional flexibili...
Muscles Robotics Biomimetic Materials Humans
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Woven Fabric Muscle for Soft Wearable Robotic Application Using Two-Dimensional Zigzag Shape Memory Alloy Actuator.

Soft robotics May 7, 2024
In this study, we propose a fabric muscle based on the Zigzag Shape Memory Alloy (ZSMA) actuator. Soft wearable robots have been gaining attention due to their flexibility and the ability to provide significant power support to the user without hinde...
Alloys Muscles Wearable Electronic Devices Humans Robotics Equipment Design
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Machine learning reveals the control mechanics of an insect wing hinge.

Nature Apr 17, 2024
Insects constitute the most species-rich radiation of metazoa, a success that is due to the evolution of active flight. Unlike pterosaurs, birds and bats, the wings of insects did not evolve from legs, but are novel structures that are attached to th...
Flight, Animal Wings, Animal Female Biomechanical Phenomena Drosophila melanogaster Movement Animals Robotics Neural Networks, Computer Muscles Calcium Machine Learning
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A deep learning approach for fast muscle water T2 mapping with subject specific fat T2 calibration from multi-spin-echo acquisitions.

Scientific reports Apr 8, 2024
This work presents a deep learning approach for rapid and accurate muscle water T with subject-specific fat T calibration using multi-spin-echo acquisitions. This method addresses the computational limitations of conventional bi-component Extended Ph...
Water Image Processing, Computer-Assisted Calibration Phantoms, Imaging Magnetic Resonance Imaging Algorithms Brain Deep Learning Muscles
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Automatic segmentation of lower limb muscles from MR images of post-menopausal women based on deep learning and data augmentation.

PloS one Apr 2, 2024
Individual muscle segmentation is the process of partitioning medical images into regions representing each muscle. It can be used to isolate spatially structured quantitative muscle characteristics, such as volume, geometry, and the level of fat inf...
Image Processing, Computer-Assisted Postmenopause Humans Deep Learning Muscles Magnetic Resonance Imaging Thigh Female Animals Cattle
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