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Development of a real-time RGB-D visual feedback-assisted pulmonary rehabilitation system
Wen-Ruei Tang1, Wei Su2, Jenn-Jier James Lien2
1Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, Tainan, Taiwan.
Heliyon
|January 23, 2024
Summary
A novel thoracoabdominal movement-tracking model provides real-time visual feedback for pulmonary rehabilitation (PR). This system enhances chest wall expansion and lung volume, offering a potential solution for home-based PR programs.
Area of Science:
- Biomedical Engineering
- Respiratory Medicine
- Rehabilitation Technology
Background:
- Perioperative pulmonary rehabilitation (PR) is crucial for lung cancer patients post-surgery.
- Current PR programs face limitations in time, space, and accessibility.
- A need exists for flexible, accessible PR solutions, including home-based options.
Purpose of the Study:
- To develop a background-free, zero-contact thoracoabdominal movement-tracking model.
- To validate the model's effectiveness in providing real-time RGB-D visual feedback.
- To assess the model's potential for integration into existing PR programs or home-based settings.
Main Methods:
- Developed a thoracoabdominal movement-tracking model using RGB-D cameras and human pose estimation (Google MediaPipe).
- Healthy volunteers performed breathing exercises with and without real-time visual feedback.
- Pulmonary function was measured using spirometry, and chest wall motion was derived from the tracking model.
Main Results:
- The model demonstrated strong correlations between thoracic (r=0.90) and abdominal (r=0.73) motion and spirometric lung volume.
- RGB-D visual feedback significantly enhanced chest wall displacement (23 vs 20 mm) and increased lung volume (2.58 vs 2.30 L).
Conclusions:
- An easily implemented thoracoabdominal movement-tracking model was developed.
- Real-time RGB-D visual feedback positively impacts chest wall expansion and lung volume.
- The system shows promise for extending PR to home-based settings and remote monitoring.
