AIMC Topic: Forearm

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Novel Wearable HD-EMG Sensor With Shift-Robust Gesture Recognition Using Deep Learning.

IEEE transactions on biomedical circuits and systems Nov 21, 2023
In this work, we present a hardware-software solution to improve the robustness of hand gesture recognition to confounding factors in myoelectric control. The solution includes a novel, full-circumference, flexible, 64-channel high-density electromyo...
Humans Gestures Electromyography Forearm Algorithms Deep Learning Wearable Electronic Devices
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Efficient Photoacoustic Image Synthesis with Deep Learning.

Sensors (Basel, Switzerland) Aug 10, 2023
Photoacoustic imaging potentially allows for the real-time visualization of functional human tissue parameters such as oxygenation but is subject to a challenging underlying quantification problem. While in silico studies have revealed the great pote...
Monte Carlo Method Forearm Neural Networks, Computer Deep Learning Spectrum Analysis Humans
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Modulation of corticospinal excitability related to the forearm muscle during robot-assisted stepping in humans.

Experimental brain research Mar 17, 2023
In recent years, the neural control mechanisms of the arms and legs during human bipedal walking have been clarified. Rhythmic leg stepping leads to suppression of monosynaptic reflex excitability in forearm muscles. However, it is unknown whether an...
Evoked Potentials, Motor H-Reflex Pyramidal Tracts Leg Forearm Humans Muscle, Skeletal Robotics Electromyography
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Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses.

The journal of vascular access Mar 9, 2023
BACKGROUND: Ultrasound guidance increases the success rate of peripheral intravenous catheter placement. However, the longer time required to obtain ultrasound-guided access poses difficulties for ultrasound beginners. Notably, interpretation of ultr...
Adult Male Clinical Competence Humans Artificial Intelligence Female Cross-Over Studies Predictive Value of Tests Image Interpretation, Computer-Assisted Ultrasonography, Interventional Automation Punctures Forearm Time Factors Veins Catheterization, Peripheral
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Dataset with Tactile and Kinesthetic Information from a Human Forearm and Its Application to Deep Learning.

Sensors (Basel, Switzerland) Nov 12, 2022
There are physical Human-Robot Interaction (pHRI) applications where the robot has to grab the human body, such as rescue or assistive robotics. Being able to precisely estimate the grasping location when grabbing a human limb is crucial to perform a...
Upper Extremity Kinesthesis Deep Learning Fingers Forearm Humans
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Cold ablation robot-guided laser osteotomy in hand, wrist and forearm surgery-A feasibility study.

The international journal of medical robotics + computer assisted surgery : MRCAS Jul 8, 2022
INTRODUCTION: Traditional bone surgery using saws and chisels is associated with direct contact of instruments with the bone causing friction, heat and pressure and hence, damaging the bone and the surrounding soft tissues.
Forearm Robotics Wrist Osteotomy Humans Feasibility Studies Cadaver Lasers
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2D-3D reconstruction of distal forearm bone from actual X-ray images of the wrist using convolutional neural networks.

Scientific reports Jul 27, 2021
The purpose of the study was to develop a deep learning network for estimating and constructing highly accurate 3D bone models directly from actual X-ray images and to verify its accuracy. The data used were 173 computed tomography (CT) images and 10...
Humans Forearm Neural Networks, Computer Wrist X-Rays
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Optimal strategy of sEMG feature and measurement position for grasp force estimation.

PloS one Mar 30, 2021
Grasp force estimation based on surface electromyography (sEMG) is essential for the dexterous control of a prosthetic hand. Nowadays, although increasing the number of sEMG measurement positions and extracting more features are common methods to inc...
Neural Networks, Computer Hand Strength Electromyography Artificial Limbs Forearm Humans
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Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement.

Annals of the rheumatic diseases Oct 7, 2020
OBJECTIVE: We sought to determine histologic and gene expression features of clinical improvement in early diffuse cutaneous systemic sclerosis (dcSSc; scleroderma).
Forearm Adult Scleroderma, Diffuse Male Actins Middle Aged Humans Clinical Trials as Topic Machine Learning Severity of Illness Index Female Fibroblasts Skin Gene Expression Antigens, CD34 Collagen
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Characterizing forearm muscle activity in young adults during dynamic wrist flexion-extension movement using a wrist robot.

Journal of biomechanics Jun 21, 2020
Current research suggests that the wrist extensor muscles function as the primary stabilizers of the wrist-joint complex. However, most investigations have utilized isometric study designs, with little consideration for wrist dynamics or changes in p...
Wrist Electromyography Range of Motion, Articular Male Forearm Humans Muscle, Skeletal Wrist Joint Young Adult Robotics
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