Sports Medicine

Research on Theory and a Performance Analysis of an Innovative Rehabilitation Robot.

This paper presents an innovative application of a 6-DOF robot in the field of rehabilitation traini...

Pressure Injury Prediction Model Using Advanced Analytics for At-Risk Hospitalized Patients.

OBJECTIVE: Analyzing pressure injury (PI) risk factors is complex because of multiplicity of associa...

Feasibility of Overground Gait Training Using a Joint-Torque-Assisting Wearable Exoskeletal Robot in Children with Static Brain Injury.

Pediatric gait disorders are often chronic and accompanied by various complications, which challenge...

Right ventricular strain and volume analyses through deep learning-based fully automatic segmentation based on radial long-axis reconstruction of short-axis cine magnetic resonance images.

OBJECTIVE: We propose a deep learning-based fully automatic right ventricle (RV) segmentation techni...

Automated Detection Model Based on Deep Learning for Knee Joint Motion Injury due to Martial Arts.

OBJECTIVE: Develop a set of knee joint martial arts injury monitoring models based on deep learning,...

Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model.

BACKGROUND: One of the most prevalent complications of Partial Nephrectomy (PN) is Acute Kidney Inju...

Robustness and Tracking Performance Evaluation of PID Motion Control of 7 DoF Anthropomorphic Exoskeleton Robot Assisted Upper Limb Rehabilitation.

Upper limb dysfunctions (ULD) are common following a stroke. Annually, more than 15 million people s...

Architectural design and development of an upper-limb rehabilitation device: a modular synthesis approach.

PURPOSE: Enormous assistance is required during rehabilitation activities, which might result in a v...

External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients.

OBJECTIVES: The purpose of this study was to externally validate algorithms (previously developed an...

A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work.

Human gait is a periodic motion of body segments-the analysis of motion and related studies is terme...

Automatic segmentation model of intercondylar fossa based on deep learning: a novel and effective assessment method for the notch volume.

BACKGROUND: Notch volume is associated with anterior cruciate ligament (ACL) injury. Manual tracking...

Design of a control framework for lower limb exoskeleton rehabilitation robot based on predictive assessment.

BACKGROUND: Patients suffering from lower limb dyskinesia, especially in early stages of rehabilitat...

The effect of robotic rehabilitation on posture and trunk control in non-ambulatory cerebral palsy.

The purpose of this study was to investigate the effects of a combined robot-assisted gait training ...

Molecular Visualization of Early-Stage Acute Kidney Injury with a DNA Framework Nanodevice.

DNA nanomachines with artificial intelligence have attracted great interest, which may open a new er...

Exoskeletons in MS rehabilitation are ready for widespread use in clinical practice: No.

Pattern Recognition of EMG Signals by Machine Learning for the Control of a Manipulator Robot.

Human Machine Interfaces (HMI) principles are for the development of interfaces for assistance or su...

Clinical Prediction Rule for Identifying the Stroke Patients who will Obtain Clinically Important Improvement of Upper Limb Motor Function by Robot-Assisted Upper Limb.

BACKGROUND: The number of studies on the characteristics of patients with stroke who would benefit f...

Deep Learning-Based Multimodal 3 T MRI for the Diagnosis of Knee Osteoarthritis.

The objective of this study was to investigate the application effect of deep learning model combine...

EMG-driven fatigue-based self-adapting admittance control of a hand rehabilitation robot.

Upper-limb rehabilitation therapy sessions for post-stroke people generally contain rhythmic hand mo...

Evaluation Algorithm for the Effectiveness of Stroke Rehabilitation Treatment Using Cross-Modal Deep Learning.

It is important to study the evaluation algorithm for the stroke rehabilitation treatment effect to ...

Does proximal versus distal injury location of the medial ulnar collateral ligament of the elbow differentially impact elbow stability? An ultrasound-guided and robot-assisted biomechanical study.

BACKGROUND: The location (proximal vs. distal) of elbow medial ulnar collateral ligament (MUCL) tear...