Clinical Report: AI-Enhanced Motion Capture in Rehabilitation: A 20-Year Review
Overview
This report provides a bibliometric analysis of AI-driven motion capture in rehabilitation, highlighting significant thematic shifts and global collaboration patterns. The findings underscore the transition towards AI-integrated rehabilitation frameworks and identify key areas for future research.
Background
The integration of motion capture technology in rehabilitation has gained prominence over the last two decades, offering precise movement analysis crucial for personalized treatment strategies. The advancements in artificial intelligence (AI) have further enhanced the capabilities of motion capture systems, enabling real-time data-driven rehabilitation approaches. Understanding the evolution and current landscape of this field is essential for clinicians and researchers to optimize rehabilitation practices.
Data Highlights
This study conducted a systematic bibliometric analysis of publications from 2004 to 2023, focusing on AI-driven motion capture in rehabilitation.
Key Findings
First bibliometric overview of AI-driven motion capture in rehabilitation.
Research has shifted from basic neurophysiological studies to AI-integrated rehabilitation frameworks.
The United States is identified as a global research hub, with China showing rapid output.
Hotspots for future research include EEG, brain-computer interfaces, and multimodal sensing.
AI algorithms are capable of automating motor function assessments and predicting rehabilitation trajectories.
Clinical Implications
Clinicians should consider integrating AI-driven motion capture technologies into rehabilitation practices to enhance assessment accuracy and treatment personalization. The identified research hotspots can guide future clinical applications and funding priorities in rehabilitation.
Conclusion
The study highlights the transformative potential of AI in rehabilitation through motion capture technologies, emphasizing the need for continued interdisciplinary research and collaboration.
