Sports Medicine

Phybrata Sensors and Machine Learning for Enhanced Neurophysiological Diagnosis and Treatment.

Concussion injuries remain a significant public health challenge. A significant unmet clinical need ...

Artificial Intelligence in Rehabilitation Targeting the Participation of Children and Youth With Disabilities: Scoping Review.

BACKGROUND: In the last decade, there has been a rapid increase in research on the use of artificial...

Effect of Robot-assisted Rehabilitation to Botulinum Toxin A Injection for Upper Limb Disability in Patients with Chronic Stroke: A Case Series and Systematic Review.

Combining single-joint hybrid assistive limb (HAL-SJ) with botulinum toxin A (BTX-A) therapy is nove...

Beneficial Effects of Robot-Assisted Gait Training on Functional Recovery in Women after Stroke: A Cohort Study.

Robot-assisted gait training (RAGT) could be a rehabilitation option for patients after experiencin...

Crash Injury Severity Prediction Using an Ordinal Classification Machine Learning Approach.

In many related works, nominal classification algorithms ignore the order between injury severity le...

Individual deformability compensation of soft hydraulic actuators through iterative learning-based neural network.

Robotic devices with soft actuators have been developed to realize the effective rehabilitation of p...

Nonlinear time delay estimation based model reference adaptive impedance control for an upper-limb human-robot interaction.

A nonlinear Time Delay Estimation (TDE) based model reference adaptive impedance controller was deve...

Enhanced precision of real-time control photothermal therapy using cost-effective infrared sensor array and artificial neural network.

Photothermal therapy (PTT) requires tight thermal dose control to achieve tumor ablation with minima...

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review.

Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective rehabilitation is essenti...

A Novel Prediction Model of Acute Kidney Injury Based on Combined Blood Variables in STEMI.

BACKGROUND: Development of acute kidney injury (AKI) is associated with poor prognosis in patients w...

The Route of Motor Recovery in Stroke Patients Driven by Exoskeleton-Robot-Assisted Therapy: A Path-Analysis.

: Exoskeleton-robot-assisted therapy is known to positively affect the recovery of arm functions in ...

Application of Deep Neural Network Factor Analysis Model in Operating Room Management Nursing Analysis of Postoperative Infection Nursing after Thoracic Surgery.

Thoracic surgery is the main surgical method for the treatment of respiratory diseases and lung dise...

Effect of pedestrian physique differences on head injury prediction in car-to-pedestrian accidents using deep learning.

OBJECTIVE: The aim of this study is to identify the effects of pedestrian physique differences on he...

Superelastic, Antifreezing, Antidrying, and Conductive Organohydrogels for Wearable Strain Sensors.

Sensors based on conductive hydrogels have received extensive attention in various fields, such as a...

Kinematic Assessment to Measure Change in Impairment during Active and Active-Assisted Type of Robotic Rehabilitation for Patients with Stroke.

Analysis of kinematic features related to clinical assessment scales may qualitatively improve the e...

Magnetic Resonance Image Feature Analysis under Deep Learning in Diagnosis of Neurological Rehabilitation in Patients with Cerebrovascular Diseases.

To explore the impact of magnetic resonance imaging (MRI) image features based on deep learning algo...

Design of a Data Glove for Assessment of Hand Performance Using Supervised Machine Learning.

The large number of poststroke recovery patients poses a burden on rehabilitation centers, hospitals...

Rapid Estimation of Entire Brain Strain Using Deep Learning Models.

OBJECTIVE: Many recent studies suggest that brain deformation resulting from head impacts are linked...

Evaluating Performance of EEG Data-Driven Machine Learning for Traumatic Brain Injury Classification.

OBJECTIVES: Big data analytics can potentially benefit the assessment and management of complex neur...

Accuracy of machine learning logistic regression in death prediction for patients of road traffic injury.

Biosignal-Based Human-Machine Interfaces for Assistance and Rehabilitation: A Survey.

As a definition, Human-Machine Interface (HMI) enables a person to interact with a device. Starting ...