AIMC Topic: Range of Motion, Articular
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A Workflow-Efficient Approach to Pre- and Post-Operative Assessment of Weight-Bearing Three-Dimensional Knee Kinematics.
The Journal of arthroplasty
Feb 6, 2025
BACKGROUND: Knee kinematics during daily activities reflect disease severity preoperatively and are associated with clinical outcomes after total knee arthroplasty (TKA). It is widely believed that measured kinematics would be useful for preoperative...
Shoulder Musculoskeletal Disorder Rehabilitation Using a Robotic Device Based on Electromyography (EMG) Biofeedback: A Retrospective Cohort Study.
Medicina (Kaunas, Lithuania)
Feb 5, 2025
: While shoulder injuries represent the musculoskeletal disorders (MSDs) most encountered in physical therapy, there is no consensus on their management. In attempts to provide standardized and personalized treatment, a robotic-assisted device combin...
Stress radiography of medial knee instability provides a reliable correlation with the severity of injury and medial joint space opening-A robotic biomechanical cadaveric study.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Jan 22, 2025
PURPOSE: The medial collateral ligament (MCL), and posterior oblique ligament (POL) are the primary valgus stabilisers of the knee, and clinical examinations in grading valgus instability can be inherently subjective. Stress radiography of medial-sid...
Surmounting the ceiling effect of motor expertise by novel sensory experience with a hand exoskeleton.
Science robotics
Jan 15, 2025
For trained individuals such as athletes and musicians, learning often plateaus after extensive training, known as the "ceiling effect." One bottleneck to overcome it is having no prior physical experience with the skill to be learned. Here, we chall...
Exploring the Potential of AI-Assisted Technology in Joint Range-of-Motion Measurements: A Reliability Study.
Medicina (Kaunas, Lithuania)
Jan 14, 2025
: Measuring joint range of motion (ROM) is essential for diagnosing and treating musculoskeletal diseases. However, most clinical measurements are conducted using conventional devices, and their reliability may significantly depend on the tester. Thi...
A new distal radius fracture classification depending on the specific fragments through machine learning clustering method.
BMC musculoskeletal disorders
Dec 30, 2024
PURPOSES: The objective of this study was to investigate intra-articular distal radius fractures, aiming to provide a comprehensive analysis of fracture patterns and discuss the corresponding treatment strategies for each pattern.
Humans
Intra-Articular Fractures
Wrist Joint
Wrist Fractures
Treatment Outcome
Follow-Up Studies
Fracture Fixation, Internal
Cluster Analysis
Hand Strength
Aged, 80 and over
Radiography
Machine Learning
Young Adult
Range of Motion, Articular
Adult
Retrospective Studies
Bone Plates
Male
Female
Radius Fractures
Middle Aged
Aged
Time Efficiency and Ergonomic Assessment of a Robotic Wheelchair Transfer System.
Sensors (Basel, Switzerland)
Nov 27, 2024
: Caregivers experience high rates of occupational injuries, especially during wheelchair transfers, which often result in back pain and musculoskeletal disorders due to the physical demands of lifting and repositioning. While mechanical floor lifts,...
Concurrent validity and test reliability of the deep learning markerless motion capture system during the overhead squat.
Scientific reports
Nov 27, 2024
Marker-based optical motion capture systems have been used as a cardinal vehicle to probe and understand the underpinning mechanism of human posture and movement, but it is time-consuming for complex and delicate data acquisition and analysis, labor-...
Machine learning for classifying chronic ankle instability based on ankle strength, range of motion, postural control and anatomical deformities in delivery service workers with a history of lateral ankle sprains.
Musculoskeletal science & practice
Nov 19, 2024
OBJECTIVE: Chronic ankle instability (CAI) frequently develops as a result of lateral ankle sprains (LAS) in delivery service workers (DSWs). Identifying risk factors for CAI is crucial for implementing targeted interventions. This study aimed to dev...
A machine learning approach for the design optimization of a multiple magnetic and inertial sensors wearable system for the spine mobility assessment.
Journal of neuroengineering and rehabilitation
Nov 5, 2024
BACKGROUND: Recently, magnetic and inertial measurement units (MIMU) based systems have been applied in the spine mobility assessment; this evaluation is essential in the clinical practice for diagnosis and treatment evaluation. The available systems...
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