Sports Medicine

Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques.

The incidence rate of pressure injury is a critical nursing quality indicator in clinic care; consequently, factors causing pressure injury are diverse and complex. The early prevention of pressure injury and monitoring of these complex high-risk factors are critical to reduce the patients' pain, prevent further surgical treatment, avoid prolonged hospital stay, decrease the risk of wound infectio...

Automatic Segmentation of Meniscus in Multispectral MRI Using Regions with Convolutional Neural Network (R-CNN).

The meniscus has a significant function in human anatomy, and Magnetic Resonance Imaging (MRI) has an essential role in meniscus examination. Due to a variety of MRI data, it is excessively difficult to segment the meniscus with image processing methods. An MRI data sequence contains multiple images, and the region features we are looking for may vary from each image in the sequence. Therefore, fe...

Artificial intelligence or manufactured stupidity? The need for injury informaticians in the big data era.

The volume, velocity and variety of data collected about individuals have increased exponentially over the last decade, presenting new injury surveill...

Use of Machine Learning and Artificial Intelligence to Drive Personalized Medicine Approaches for Spine Care.

Personalized medicine is a new paradigm of healthcare in which interventions are based on individual patient characteristics rather than on "one-size-...

Towards data-driven stroke rehabilitation via wearable sensors and deep learning.

Recovery after stroke is often incomplete, but rehabilitation training may potentiate recovery by engaging endogenous neuroplasticity. In preclinical ...

Advances in the rehabilitation of intensive care unit acquired weakness: A case report on the promising use of robotics and virtual reality coupled to physiotherapy.

INTRODUCTION: Traditional physiotherapy is currently the best approach to manage patients with intensive care unit acquired weakness (ICUAW). We repor...

[Rehabilitation of traumatic spinal cord injury with lower limb exoskeleton].

In recent years, several technological innovations have emerged to improve the rehabilitation of traumatic spinal cord injury (SCI). Among them, robot...

Design and Validation of a Lower-Limb Haptic Rehabilitation Robot.

Present robots for investigating lower-limb motor control and rehabilitation focus on gait training. An alternative approach is to focus on restoring ...

Deep-learning-based human motion tracking for rehabilitation applications using 3D image features.

Motion rehabilitation is increasingly required owing to an aging population and suffering of stroke, which means human motion analysis must be valued....

Wavelet Spectral Deep-training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Early diagnosis and prognosis of babies with signs of hypoxic-ischemic encephalopathy (HIE) is currently limited and requires reliable prognostic biom...

Wavelet Spectral Time-Frequency Training of Deep Convolutional Neural Networks for Accurate Identification of Micro-Scale Sharp Wave Biomarkers in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Neonatal hypoxic-ischemic encephalopathy (HIE) evolves over different phases of time during recovery. Some neuroprotection treatments are only effecti...

Patient-Specific Robot-Assisted Stroke Rehabilitation Guided by EEG - A Feasibility Study.

Multi-session robot-assisted stroke rehabilitation program requires patients to perform repetitive tasks. It is challenging for the patient to maintai...

Investigating muscle synergies changes after rehabilitation robotics training on stroke survivors: a pilot study.

The current knowledge about muscle synergies does not clearly explain how both rehabilitation and brain plasticity act on the way they evolve after a ...

Design and Preliminary Implementation of an Air Microfluidics Enabled Soft Robotic Knee Brace Towards the Management of Osteoarthritis.

A dynamic and low-profile unloader tibiofemoral knee brace is designed and prototyped by synergizing concepts from the fields of microfluidics and sof...

Fitts' law in the presence of interface inertia.

Collaborative robots are advancing the healthcare frontier, in applications such as rehabilitation and physical therapy. Effective physical collaborat...

Estimation of Energy Absorption Capability of Arm Using Force Myography for Stable Human-Machine Interaction.

Human-robot interactions help in various industries and enhance the user experience in different ways. However, constant safety monitoring is needed i...

Developing a hybrid soft mechanism for assisting individualized flexion and extension of finger joints.

Various robotic devices have been developed for home rehabilitation and support of therapists. Special attention has been focused on soft actuators du...

iRebot: An Interactive Rehabilitation Robot with Gesture Control.

Physical therapy efficacy relies on patient compliance and motivation. However, the monotony, intensity, and expense of most therapy routines do not p...

[Intensities in the application of robotic technologies in upper extremity rehabilitation after a stroke: a systematic review of randomised controlled clinical trials].

INTRODUCTION: In the vast majority of cases stroke entails long-term limitations in the use of the upper extremities that are affected. Robotic techno...

Effects of trunk stabilization training robot on postural control and gait in patients with chronic stroke: a randomized controlled trial.

Our study aimed to confirm the therapeutic effects of using a trunk stabilization training robot (3DBT-33) in patients with chronic stroke. A total of...