To evaluate the effectiveness of an IoT-based breathing training program in improving post-operative lung function in lung cancer surgery patients compared to standard breathing exercises.
Key Findings:
The primary outcome will be quantitative data showing lung function trajectory.
This study aims to provide the first scientific evidence on the efficacy of IoT-enabled remote management for perioperative respiratory rehabilitation.
Interpretation:
Limitations:
Current clinical respiratory training methods do not record training data or generate dynamic visual reports.
Patients may find it difficult to adhere to traditional training methods.
Conclusion:
The study aims to evaluate the effectiveness of IoT-based rehabilitation for lung cancer patients undergoing surgery.
