%0 Journal Article
%T Quantifying cardiorespiratory thorax movement with motion capture and deconvolution
%A Bernhard Penzlin
%A Christoph Hoog Antink
%A David Hejj
%A Marian Walter
%A Steffen Leonhardt
%J -
%D 2017
%X Unobtrusive sensing is a growing aspect in the field of biomedical engineering. While many modalities exist, a large fraction of methods ultimately relies on the analysis of thoracic movement. To quantify cardiorespiratory induced thorax movement with spatial resolution, an approach using high-performance motion capture, electrocardiography and deconvolution is presented. In three healthy adults, motion amplitudes are estimated that correspond to values reported in the literature. Moreover, two-dimensional mappings are created that exhibit physiological meaningful relationships. Finally, the analysis of waveform data obtained via deconvolution shows plausible pulse transit behavior
%K cardiorespiratory movement
%K motion capture
%K deconvolution
%K biosignal processing
%K unobtrusive sensing
%U https://ojs.cvut.cz/ojs/index.php/CTJ/article/view/4761