AIMC Topic: Hand Strength

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Design and Comparison of Magnetically-Actuated Dexterous Forceps Instruments for Neuroendoscopy.

IEEE transactions on bio-medical engineering Feb 18, 2021
Robot-assisted minimally invasive surgical (MIS) techniques offer improved instrument precision and dexterity, reduced patient trauma and risk, and promise to lessen the skill gap among surgeons. These approaches are common in general surgery, urolog...
Humans Hand Strength Equipment Design Surgical Instruments Neuroendoscopy Robotics Minimally Invasive Surgical Procedures
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User training for machine learning controlled upper limb prostheses: a serious game approach.

Journal of neuroengineering and rehabilitation Feb 12, 2021
BACKGROUND: Upper limb prosthetics with multiple degrees of freedom (DoFs) are still mostly operated through the clinical standard Direct Control scheme. Machine learning control, on the other hand, allows controlling multiple DoFs although it requir...
Adult Video Games Male Artificial Limbs Exercise Therapy Hand Electromyography Hand Strength Machine Learning Female Humans
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A deep learning-based method for grip strength prediction: Comparison of multilayer perceptron and polynomial regression approaches.

PloS one Feb 11, 2021
The objective of this study was to accurately predict the grip strength using a deep learning-based method (e.g., multi-layer perceptron [MLP] regression). The maximal grip strength with varying postures (upper arm, forearm, and lower body) of 164 yo...
Male Deep Learning Hand Strength Algorithms Humans Female Neural Networks, Computer Young Adult
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Versatile Soft Robot Gripper Enabled by Stiffness and Adhesion Tuning via Thermoplastic Composite.

Soft robotics Jan 22, 2021
Within the field of robotics, stiffness tuning technologies have potential for a variety of applications-perhaps most notably for robotic grasping. Many stiffness tuning grippers have been developed that can grasp fragile or irregularly shaped object...
Physical Phenomena Equipment Design Hand Strength Phase Transition Robotics
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Computer-aided diagnosis based on hand thermal, RGB images, and grip force using artificial intelligence as screening tool for rheumatoid arthritis in women.

Medical & biological engineering & computing Jan 8, 2021
Rheumatoid arthritis (RA) is an autoimmune disorder that typically affects people between 23 and 60 years old causing chronic synovial inflammation, symmetrical polyarthritis, destruction of large and small joints, and chronic disability. Clinical di...
Computers Female Hand Strength Humans Hand Artificial Intelligence Arthritis, Rheumatoid
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Shoulder kinematics plus contextual target information enable control of multiple distal joints of a simulated prosthetic arm and hand.

Journal of neuroengineering and rehabilitation Jan 6, 2021
BACKGROUND: Prosthetic restoration of reach and grasp function after a trans-humeral amputation requires control of multiple distal degrees of freedom in elbow, wrist and fingers. However, such a high level of amputation reduces the amount of availab...
Adult Biomechanical Phenomena Male Humans Neural Networks, Computer Hand Artificial Limbs Arm Middle Aged Hand Strength Shoulder Movement
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Perception of Tactile Directionality via Artificial Fingerpad Deformation and Convolutional Neural Networks.

IEEE transactions on haptics Dec 25, 2020
Humans can perceive tactile directionality with angular perception thresholds of 14-40° via fingerpad skin displacement. Using deformable, artificial tactile sensors, the ability to perceive tactile directionality was developed for a robotic system t...
Robotics Algorithms Humans Touch Hand Strength Neural Networks, Computer
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A Bioinspired Soft Swallowing Gripper for Universal Adaptable Grasping.

Soft robotics Dec 3, 2020
This article presents the design, fabrication, modeling, and preliminary tests of a bloodworm-inspired soft gripper for universal grasping. The gripper was designed and fabricated based on a toy called water snake wiggly (WSW). The toroidal WSW can e...
Reproducibility of Results Hand Strength Equipment Design Deglutition Robotics
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A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping.

Proceedings of the National Academy of Sciences of the United States of America Nov 30, 2020
One of the primary ways we interact with the world is using our hands. In macaques, the circuit spanning the anterior intraparietal area, the hand area of the ventral premotor cortex, and the primary motor cortex is necessary for transforming visual ...
Hand Strength Hand Female Arm Neural Networks, Computer Frontal Lobe Models, Animal Animals Male Parietal Lobe Motor Activity Models, Neurological Macaca mulatta
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Implementation of anisotropic soft pads in a surgical gripper for secure and gentle grip on vulnerable tissues.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Nov 25, 2020
Current surgical grippers rely on friction grip, where normal loads (i.e. pinch forces) are translated into friction forces. Operating errors with surgical grippers are often force-related, including tissue slipping out of the gripper because of too ...
Equipment Design Mechanical Phenomena Friction Hand Strength Robotics
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