AIMC Topic: Rehabilitation
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Current applications and outcomes of AI-driven adaptive learning systems in physical rehabilitation science education: A scoping review protocol.
PloS one
Jun 11, 2025
Rationale Integrating artificial intelligence (AI) into education has introduced transformative possibilities, particularly through adaptive learning systems. Rehabilitation science education stands to benefit significantly from the integration of AI...
Modification of the toronto rehabilitation institute-hand function test for integration into robot-assisted therapy: technical validation and usability.
Biomedical engineering online
May 7, 2025
BACKGROUND: Effective rehabilitation of the upper extremity function is vital for individuals recovering from stroke or cervical spinal cord injury, as it can enable them to regain independence in daily tasks. While robotic therapy provides precise a...
Multiscale activity recognition algorithms to improve cross-subjects performance resilience in rehabilitation monitoring systems.
Computer methods and programs in biomedicine
Apr 23, 2025
BACKGROUND AND OBJECTIVE: This study introduces multiscale feature learning to develop more robust and resilient activity recognition algorithms, aimed at accurately tracking and quantifying rehabilitation exercises while minimizing performance dispa...
Artificial Intelligence in rehabilitation: A narrative review on advancing patient care.
Rehabilitacion
Apr 21, 2025
Artificial Intelligence (AI) is revolutionizing rehabilitation by enabling data-driven, personalized, and effective patient care. AI systems analyze patterns, predict outcomes, and adapt treatments to individual needs, empowering clinicians to delive...
Systematic review of AI/ML applications in multi-domain robotic rehabilitation: trends, gaps, and future directions.
Journal of neuroengineering and rehabilitation
Apr 9, 2025
Robotic technology is expected to transform rehabilitation settings, by providing precise, repetitive, and task-specific interventions, thereby potentially improving patients' clinical outcomes. Artificial intelligence (AI) and machine learning (ML) ...
Healthcare practitioners and robotic-assisted rehabilitation: understanding needs and barriers.
Journal of neuroengineering and rehabilitation
Apr 9, 2025
BACKGROUNDS: In recent years, numerous robotic devices, together with allied technologies, have been developed to support rehabilitation, both in research settings and industry. Although robotic-assisted rehabilitation and related technologies hold s...
Application effect of rehabilitation robots in rehabilitation of limb movement disorders based on neural network algorithms.
SLAS technology
Mar 21, 2025
With the continuous advancement of computer technology and sensor technology, rehabilitation robots have shown great potential in the rehabilitation treatment of limb movement disorders. This paper designs a rehabilitation robot based on a neural net...
Dynamic Bonding for In-Situ Welding of Multilayer Elastomers Enables High-Performance Wearable Electronics for Machine Learning-Assisted Active Rehabilitation.
Advanced materials (Deerfield Beach, Fla.)
Mar 12, 2025
Patients with hand dysfunction require joint rehabilitation for functional restoration, and wearable electronics can provide physical signals to assess and guide the process. However, most wearable electronics are susceptible to failure under large d...
Mechanical Structure Design and Motion Simulation Analysis of a Lower Limb Exoskeleton Rehabilitation Robot Based on Human-Machine Integration.
Sensors (Basel, Switzerland)
Mar 6, 2025
Population aging is an inevitable trend in contemporary society, and the application of technologies such as human-machine interaction, assistive healthcare, and robotics in daily service sectors continues to increase. The lower limb exoskeleton reha...
Research on Upper Limb Motion Intention Classification and Rehabilitation Robot Control Based on sEMG.
Sensors (Basel, Switzerland)
Feb 10, 2025
sEMG is a non-invasive biomedical engineering technique that can detect and record electrical signals generated by muscles, reflecting both motor intentions and the degree of muscle contraction. This study aims to classify and recognize nine types of...
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