Non-Invasive Diagnosis of Healthcare Resistance

PI’s: David Ku

Project Date: September 1, 2016

The purpose of this project was to develop and evaluate two non-invasive systems to quantify airway disease in children that is correlated to airway resistance, i.e. one using pulsus paradoxus to determine effort or force generated to breath and one to estimate airflow with breathing using the microsoft kinect device to measure chest wall motion. Through this funding we were able to develop the device and bioinformatic methods to determine air flow using chest wall motion and pulsus paradoxus using pulse oximetry and do demonstrate its utility in adults and test in several young children.




Ostadabbas S, Bulach C, Ku DN, Anderson LJ, Ghovanloo M. A passive quantitative measurement of airway resistance using depth data. Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Conference 2014;2014:5743-7.

A Vision-Based Respiration Monitoring System for Passive Airway Resistance Estimation. Ostadabbas S, Sebkhi N, Zhang M, Rahim S, Anderson LJ, Lee FE, Ghovanloo M., IEEE Trans Biomed Eng. 2016 Sep;63(9):1904-1913. doi: 10.1109/TBME.2015.2505732. Epub 2015 Dec 4. PMID: 26660514