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[A Wearable System for Cervical Spondylosis Prevention Based on Artificial Intelligence]
Siyu Li1, Ping Zhou1, Wenjin Xiao1
1School of Biological Science&Medical Engineering, Southeast University, Nanjing, 210096. ##Email#.
Summary
A new wearable system uses AI and sensors to detect poor head and neck posture, helping prevent cervical spondylosis through guided exercises.
Area of Science:
- Biomedical Engineering
- Artificial Intelligence in Healthcare
- Preventive Medicine
Background:
- Increasing incidence of cervical spondylosis linked to modern work and lifestyle changes.
- Prolonged static head and neck postures are a primary etiological factor.
- Need for effective, accessible prevention strategies.
Purpose of the Study:
- To develop a wearable system for the prevention of cervical spondylosis.
- To accurately identify detrimental head and neck postures.
- To guide users in performing therapeutic exercises.
Main Methods:
- Development of a wearable system incorporating an acceleration sensor for head and neck movement collection.
- Implementation of an artificial intelligence-based module for head and neck motion recognition.
- Integration of a motion recognition module for user guidance during exercise therapy.
Main Results:
- The system demonstrated high accuracy in identifying prolonged, harmful head and neck postures.
- The system effectively guides users through prescribed exercise therapy.
- Experimental validation confirmed the system's functional capabilities.
Conclusions:
- The developed wearable system is a viable tool for cervical spondylosis prevention.
- AI-driven motion recognition enhances the effectiveness of exercise therapy.
- This technology offers a promising approach to mitigate the risk of cervical spondylosis.
