QUANTIFYING CARDIORESPIRATORY THORAX MOVEMENT WITH MOTION CAPTURE AND DECONVOLUTION

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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.

Keywords:
Cardiorespiratory movement, motion capture, deconvolution, biosignal processing, unobtrusive sensing

Autoři: Christoph Hoog Antink; David Hejj; Bernhard Penzlin; Steffen Leonhardt; Marian Walter
Působiště autorů: Philips Chair for Medical Information Technology, RWTH Aachen University, Aachen, Germany
Vyšlo v časopise: Lékař a technika - Clinician and Technology No. 4, 2017, 47, 141-145
Kategorie: Původní práce

Souhrn

Keywords:
Cardiorespiratory movement, motion capture, deconvolution, biosignal processing, unobtrusive sensing

Zdroje

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