Latest AI and machine learning research in sports medicine for healthcare professionals.
This study aims to analyse the long-term effects (6 months follow-up) of upper limb Robot-assisted T...
OBJECTIVES: We propose a bottom-up, machine-learning approach, for the objective vestibular and bala...
OBJECTIVE: To identify the rehabilitative effects of robot-assisted therapy on balance function amon...
BACKGROUND AND PURPOSE: Our aim was to use 2D convolutional neural networks for automatic segmentati...
PURPOSE: The purpose of this study was to build and evaluate a high-performance algorithm to detect ...
BACKGROUND: Stair climbing can be a challenging part of daily life and a limiting factor for social ...
PURPOSE: This work presents our contribution to a data challenge organized by the French Radiology S...
BACKGROUND: Intensive robot-assisted training of the upper limb after stroke can reduce motor impair...
In this paper, we propose bag of adversarial features (BAFs) for identifying mild traumatic brain in...
Wearable electronic sensing devices are deemed to be a crucial technology of smart personal electron...
The aim of this review paper is to summarize recent developments and research in robotics, relevant...
Improving walking function is a desirable outcome in rehabilitation and of high importance for socia...
This study examined the treatment effects between unilateral hybrid therapy (UHT; unilateral robot-a...
Tetraplegia resulting from cervical injury is the most frequent neurologic category after spinal cor...
Medical robotics is poised to transform all aspects of medicine-from surgical intervention to target...
Kinematic analysis is often performed with a camera system combined with reflective markers placed o...
Children with cerebral palsy have difficulty to sit, stand, walk, run and jump independently. Thera...
In this paper, a multipath convolutional neural network (MP-CNN) is proposed for rehabilitation exer...
During robot-aided motion rehabilitation training, inappropriate difficulty of the training task usu...
In this paper, we present a deep learning framework "Rehab-Net" for effectively classifying three up...
Interaction control plays an important role in rehabilitation devices to ensure training safety and ...