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Publication - Dr Sion Hannuna

    Depth-based Whole Body Photoplethysmography in Remote Pulmonary Function Testing

    Citation

    Soleimani, V, Mirmehdi, M, Damen, D, Camplani, M, Hannuna, S, Sharp, C & Dodd, J, 2018, ‘Depth-based Whole Body Photoplethysmography in Remote Pulmonary Function Testing’. IEEE Transactions on Biomedical Engineering, vol 65., pp. 1421-1431

    Abstract

    Objective: We  propose a novel depth-based Photoplethysmography (dPPG) approach to reduce motion artifacts in respiratory volume–time data and improve the accuracy of remote pulmonary function testing (PFT) measures.

    Method: Following spatial and temporal calibration of two opposing RGB-D sensors, a dynamic 3-D model of the subject performing PFT is reconstructed and used to decouple trunk movements from respiratory motions. Depth-based volume–time data is then retrieved, calibrated and used to compute 11 clinical PFT measures for forced vital capacity (FVC) and slow vital capacity (SVC) spirometry tests.

    Results: A dataset of 35 subjects (298 sequences) was collected and used to evaluate the proposed dPPG method by comparing depth-based PFT measures to the measures provided by a spirometer. Other comparative experiments between the dPPG and the single Kinect approach, such as Bland-Altman analysis, similarity measures performance, intra-subject error analysis, and statistical analysis of tidal volume and main effort scaling factors, all show the superior accuracy of the dPPG approach.

    Conclusion: We introduce a depth-based whole body photoplethysmography approach which reduces motion artifacts in depth-based volume–time data and highly improves the accuracy of depth-based computed measures.

    Significance: The proposed dPPG method remarkably drops the L2 error mean and standard deviation of FEF50% , FEF75% , FEF25-75% , IC, and ERV measures by half, compared to the single Kinect approach. These significant improvements establish the potential for unconstrained remote respiratory monitoring and diagnosis.

    Full details in the University publications repository