AIMC Topic: Range of Motion, Articular

Clear Filters Showing 201 to 210 of 250 articles

Automatic Tracking of the Muscle Tendon Junction in Healthy and Impaired Subjects using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Recording muscle tendon junction displacements during movement, allows separate investigation of the muscle and tendon behaviour, respectively. In order to provide a fully-automatic tracking method, we employ a novel deep learning approach to detect ...

An Approach to Robotic Testing of the Wrist Using Three-Dimensional Imaging and a Hybrid Testing Methodology.

Journal of biomechanical engineering
Robotic technology is increasingly used for sophisticated in vitro testing designed to understand the subtleties of joint biomechanics. Typically, the joint coordinate systems in these studies are established via palpation and digitization of anatomi...

Hand motion analysis during robot-aided rehabilitation in chronic stroke.

Journal of biological regulators and homeostatic agents
A high percentage of post-stroke patients reports spasticity and no functional use of the upper limb. To adapt the therapy in the most patient-specific manner, it is of paramount importance to objectively assess motor improvement during rehabilitatio...

A Deep Learning Approach for Human Action Recognition Using Skeletal Information.

Advances in experimental medicine and biology
In this paper we present an approach toward human action detection for activities of daily living (ADLs) that uses a convolutional neural network (CNN). The network is trained on discrete Fourier transform (DFT) images that result from raw sensor rea...

Single-stride exposure to pulse torque assistance provided by a robotic exoskeleton at the hip and knee joints.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Robot assisted gait retraining is an increasingly common method for supporting restoration of walking function after neurological injury. Gait speed, an indicator of walking function, is correlated with propulsive force, a measure modulated by the po...

Assessment of human wrist rigidity and pain in post-traumatic patients.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
The aim of this work is to present a novel robot-based method to assess the sources of a lack of functionality in patients with recent traumatic wrist injuries. Post-traumatic patients experience limited range of motion as well as strength and propri...

Design of a 3D Printed Soft Robotic Hand for Stroke Rehabilitation and Daily Activities Assistance.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In this paper, we present the new personalized 3D printed soft robotic hand for providing rehabilitation training and daily activities assistance to stroke survivors. The Soft-Elastic Composite Actuator (SECA) on the robotic hand is direct 3D printed...

Pedbothome: Robotically-Assisted Ankle Rehabilitation System For Children With Cerebral Palsy.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Our research team has developed two versions of an ankle robot for children with cerebral palsy. Both devices provide three degrees of freedom and are connected to an airplane video game. The child uses his/her foot as the controller for the plane an...

Using Machine Learning to Predict Lower-Extremity Injury in US Special Forces.

Medicine and science in sports and exercise
INTRODUCTION: Musculoskeletal injury rates in military personnel remain unacceptably high. Application of machine learning algorithms could be useful in multivariate models to predict injury in this population. The purpose of this study was to invest...