AIMC Topic: Elbow

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Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials.

Journal of neuroengineering and rehabilitation
Soft exosuits offer promise to support users in everyday workload tasks by providing assistance. However, acceptance of such systems remains low due to the difficulty of control compared with rigid mechatronic systems. Recently, there has been progre...

Upper limb soft robotic wearable devices: a systematic review.

Journal of neuroengineering and rehabilitation
INTRODUCTION: Soft robotic wearable devices, referred to as exosuits, can be a valid alternative to rigid exoskeletons when it comes to daily upper limb support. Indeed, their inherent flexibility improves comfort, usability, and portability while no...

Does proximal versus distal injury location of the medial ulnar collateral ligament of the elbow differentially impact elbow stability? An ultrasound-guided and robot-assisted biomechanical study.

Journal of shoulder and elbow surgery
BACKGROUND: The location (proximal vs. distal) of elbow medial ulnar collateral ligament (MUCL) tears impacts clinical outcomes of nonoperative treatment. The purposes of our study were to (1) determine whether selective releases of the MUCL could be...

Prediction Model of Stress Intensity Factor of Circumferential Through Crack in Elbow Based on Neural Network.

Computational intelligence and neuroscience
Using ANSYS software to establish the finite element model of crack bending tube, the SIF at the tip of the crack is calculated for the difference in the diameter of the pipe, the outer diameter of the elbow, and the bending angle of the bend pipe, a...

Deep Multi-Scale Fusion of Convolutional Neural Networks for EMG-Based Movement Estimation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
EMG-based motion estimation is required for applications such as myoelectric control, where the simultaneous estimation of kinematic information, namely joint angle and velocity, is challenging and critical. We propose a novel method for accurately m...

Combined Feedback Feedforward Control of a 3-Link Musculoskeletal System Based on the Iterative Training Method.

BioMed research international
The investigation and study of the limbs, especially the human arm, have inspired a wide range of humanoid robots, such as movement and muscle redundancy, as a human motor system. One of the main issues related to musculoskeletal systems is the joint...

Design and Experimental Characterization of L-CADEL v2, an Assistive Device for Elbow Motion.

Sensors (Basel, Switzerland)
An experimental characterization is presented for an improved version of a wearable assistive device for elbow motion. The design is revised with respect to requirements for elbow motion assistance, looking at applications both in rehabilitation ther...

Soft pneumatic elbow exoskeleton reduces the muscle activity, metabolic cost and fatigue during holding and carrying of loads.

Scientific reports
To minimize fatigue, sustain workloads, and reduce the risk of injuries, the exoskeleton Carry was developed. Carry combines a soft human-machine interface and soft pneumatic actuation to assist the elbow in load holding and carrying. We hypothesize ...

The Feature Ambiguity Mitigate Operator model helps improve bone fracture detection on X-ray radiograph.

Scientific reports
This study was performed to propose a method, the Feature Ambiguity Mitigate Operator (FAMO) model, to mitigate feature ambiguity in bone fracture detection on radiographs of various body parts. A total of 9040 radiographic studies were extracted. Th...