Biofeedback Respiratory Rehabilitation Training System Based on Virtual Reality Technology

Area of Science:

• Pulmonary Medicine
• Biomedical Engineering
• Virtual Reality Technology

Background:

• Traditional respiratory rehabilitation lacks data visualization and quantification, leading to poor outcomes for respiratory disorders.
• Current rehabilitation methods are often monotonous, negatively impacting patient engagement and adherence.

Purpose of the Study:

• To design and evaluate a virtual reality (VR)-based biofeedback respiratory rehabilitation training system.
• To enhance the visualization and quantification of respiratory data during rehabilitation.
• To improve patient engagement and training effectiveness for respiratory disorders.

Main Methods:

• A VR system was developed, integrating respiratory sensors to collect and preprocess patient data.
• Respiratory data were used to drive interactive virtual scenes, providing real-time visual biofeedback.
• An experiment with 10 participants assessed training effectiveness and user experience.

Main Results:

• The VR system significantly improved participants' lung function.
• Quantified and visualized respiratory data demonstrated superior rehabilitation outcomes compared to traditional methods.
• The VR training enhanced user experience, making the process more active and engaging.

Conclusions:

• VR-based biofeedback offers a promising approach to respiratory rehabilitation.
• This system effectively visualizes and quantifies respiratory data, improving training outcomes and patient engagement.
• The developed system represents a significant advancement over traditional, non-visualized rehabilitation techniques.