AIMC Topic: Elbow

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Clinical usefulness and validity of robotic measures of reaching movement in hemiparetic stroke patients.

Journal of neuroengineering and rehabilitation
BACKGROUND: Various robotic technologies have been developed recently for objective and quantitative assessment of movement. Among them, robotic measures derived from a reaching task in the KINARM Exoskeleton device are characterized by their potenti...

Wrist and elbow fracture detection and segmentation by artificial intelligence using point-of-care ultrasound.

Journal of ultrasound
PURPOSE: Distal radius (wrist) and supracondylar (elbow) fractures are common in children presenting to Pediatric Emergency Departments (EDs). These fractures are treated conservatively or surgically depending on deformity severity. Radiographs are t...

An elbow passive exoskeleton with controllable assistance: Design and experimental.

The Review of scientific instruments
A passive exoskeleton is a wearable robotic device that is worn on the exterior of the user's body to provide physical support and facilitate movement. Existing elbow passive exoskeletons have limitations in their assistance capabilities and range of...

Air Efficient Soft Wearable Robot for High-Torque Elbow Flexion Assistance.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Recent developments in soft wearable robots have shown promise for assistive and rehabilitative use-cases. For inflatable approaches, a major challenge in developing portable systems is finding a balance between portability, performance, and usabilit...

A Practical Post-Stroke Elbow Spasticity Assessment Using an Upper Limb Rehabilitation Robot: A Validation Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Spasticity is a motor disorder characterised by a velocity-dependent increase in muscle tone, which is critical in neurorehabilitation given its high prevalence and potential negative influence among the post-stroke population. Accurate measurement o...

Deep Learning Networks for View-independent Knee and Elbow Joint Angle Estimation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Vision-based human joint angle estimation is essential for remote and continuous health monitoring. Most vision-based angle estimation methods use the locations of human joints extracted using optical motion cameras, depth cameras, or human pose esti...

Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography.

Investigative radiology
OBJECTIVES: This study aimed to develop a dual-input convolutional neural network (CNN)-based deep-learning algorithm that utilizes both anteroposterior (AP) and lateral elbow radiographs for the automated detection of pediatric supracondylar fractur...

A Robot with an Augmented-Reality Display for Functional Capacity Evaluation and Rehabilitation of Injured Workers.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Occupational rehabilitation is an integral part of the recovery process for workers who have sustained injuries at the workplace. It often requires the injured worker to engage in functional tasks that simulate the workplace environment to help regai...

Elbow training device using the Mechanically Adjustable Stiffness Actuator(MASA).

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This paper presents an elbow training device using the Mechanically Adjustable Stiffness Actuator(MASA) for stroke survivors with hemiplegia. The MASA is a series elastic actuator whose mechanical stiffness is variable. Stiffness and the neutral posi...