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The use of time-of-flight camera to assess respiratory rates and thoracoabdominal depths in patients with chronic respiratory disease.

Olivier Van HoveVasileios AndrianopoulosAli DabachOlivier DebeirAlain Van MuylemDimitri LeducAlexandre LegrandRudy ErcekVéronique FeipelBruno Bonnechère
Published in: The clinical respiratory journal (2023)
Measurements performed with the Kinect sensors are highly correlated with the spirometer in HC and patients with COPD and LF. Kinect is also able to assess respiratory patterns under various loads and disturbances. This method is affordable, easy to use, fully automated and could be used in the current clinical context. Respiratory patterns are important to assess in daily clinics. However, there is currently no affordable and easy-to-use tool to evaluate these parameters in clinics. We validated a new system to assess respiratory patterns using the Kinect sensor in patients with chronic respiratory diseases.
Keyphrases
  • primary care
  • respiratory tract
  • machine learning
  • physical activity
  • deep learning
  • cystic fibrosis
  • lung function
  • mass spectrometry
  • single cell
  • high speed
  • aortic aneurysm
  • low cost