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        <identifier>oai:figshare.com:article/32587968</identifier>
        <datestamp>2026-10-06T15:23:49Z</datestamp>
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          <dc:title>Accuracy of Depth-Camera Estimations of Tidal Volumes</dc:title>
          <dc:creator>Adam Handley (21524120)</dc:creator>
          <dc:creator>Phil Tresadern (21516598)</dc:creator>
          <dc:creator>Stephen Preece (21524216)</dc:creator>
          <dc:subject>Digital health</dc:subject>
          <dc:subject>Health systems</dc:subject>
          <dc:subject>Biomechanics</dc:subject>
          <dc:subject>Medical devices</dc:subject>
          <dc:subject>Computational physiology</dc:subject>
          <dc:subject>Biomechanical engineering</dc:subject>
          <dc:subject>Biomedical imaging</dc:subject>
          <dc:subject>Digital electronic devices</dc:subject>
          <dc:subject>Photonic and electro-optical devices, sensors and systems (excl. communications)</dc:subject>
          <dc:subject>Optoelectronic plethysmography</dc:subject>
          <dc:subject>RealSense</dc:subject>
          <dc:subject>Spirometry / methods</dc:subject>
          <dc:subject>Breathing (breathwork)</dc:subject>
          <dc:subject>tidal volume measurement</dc:subject>
          <dc:subject>Bland-Altman analysis results</dc:subject>
          <dc:subject>medical device certification</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This research was part of a larger project to develop a 3D depth-camera based system for measuring respiratory volumes and for the function of the OptiMuscle realtime biofeedback system. The purpose of this data repository to share marker coordinates collected from two Intel Realsense L515 cameras, the code for calculating respiratory volumes from marker coordinates and synchronously collected spirometer data.&lt;/p&gt;&lt;p dir="ltr"&gt;A set of 30 green markers were placed on the torso. One camera was positioned perpendicular to the front of the chest and second camera was positioned perpendicular to the back. These cameras recorded both colour and depth data at 30 Hz for 30s tidal breathing. A spirometer synchronously recorded air flow and volume at 50 Hz.&lt;/p&gt;&lt;p dir="ltr"&gt;The markers were identified in the colour images and interpolated for the locations of 89 points on the chest wall. These points mapped to 3D coordinates in the depth image. Coordinates from both cameras were then combined based on pose estimation from a double-sided checkerboard calibration. Respiratory volumes were calculated from the combined 3D marker coordinates with the code in calculate_volumes.py. The resulting volumes were compared to the spirometer.&lt;/p&gt;&lt;p dir="ltr"&gt;This python code has been generated and modified for public use by Claude Code.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-06T15:23:49Z</dc:date>
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          <dc:identifier>10.17866/rd.salford.32587968.v3</dc:identifier>
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