Remote pulmonary function testing using a depth sensor

Remote, Depth-Based Lung Function Assessment

“…We extend our previous work in [5] by the following: 1) Obtaining detailed analysis of volume-time data to automatically extract more reliable keypoints for calculating scaling factors and measures; 2) Obtaining three more FVC measures i.e., FEF 25% , FEF 50% , and FEF 75% ; 3) Performing comparative analysis of PFT measures obtained by the proposed method and spirometer; 4) Investigating subjects' upper body motion during the test and its effects on volume-time data; 5) Generalizing the intra-subject scaling factor; and 6) Evaluating the proposed method on 85 actual patients (compared to 40 in [5]). Our proposed system has been developed in response to increasing clinical interest in contactless or remote techniques for respiratory assessment.…”

“…The estimated measures are correlated against the results obtained using a spirometer for 85 patients who attended a respiratory outpatient service for spirometry. In our previous work [5], we demonstrated that the Microsoft Kinect can be used to estimate chest volume and compute intratest PFT measures. To the best of our knowledge, the only This work is licensed under a Creative Commons Attribution 3.0 License.…”

3D Data Acquisition and Registration Using Two Opposing Kinects

“…Even though the box volume can be approximated using the estimated height, width, and depth (V = W × H × D), we estimated the volume by applying Gauss's Divergence Theorem as described in [44], since that would have to be used for geometrically non-uniform or non-rigid objects in any Table 5: Automatically estimated width, height, depth (in cm) and volume (in Litre) of boxes using surface analysis.…”

“…The first is based on dynamic human trunk 3D reconstruction for use in remote respiratory monitoring system. A relatively new area in remote depth-based lung function assessment using a single RGBD sensor is in formation, exemplified by [15,31,32,44,47]. These methods attempt to simulate traditional breathing tests, such as spirometry, however, none of these methods is able to decouple the subject's trunk motion from the subject's chest surface motion, which greatly affects the test results.…”

“…This is valuable in applications where a less intrusive and more easily configured setup is necessary, which inherently means as few sensors as possible and as little inconvenience to the subject as possible. One such application is within healthcare pertaining to respiratory measurements or pulmonary function testing, for which depth-based approaches have recently emerged [31,32,44,47], albeit for a single sensor.…”