Non-contact imaging of venous compliance in humans using an RGB camera
We propose a technique for non-contact imaging of venous compliance that uses the red, green, and blue (RGB) camera. Any change in blood concentration is estimated from an RGB image of the skin, and a regression formula is calculated from that change. Venous compliance is obtained from a differentia...
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Published in | Optical review (Tokyo, Japan) Vol. 22; no. 2; pp. 335 - 341 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Tokyo
Springer Japan
01.04.2015
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Abstract | We propose a technique for non-contact imaging of venous compliance that uses the red, green, and blue (RGB) camera. Any change in blood concentration is estimated from an RGB image of the skin, and a regression formula is calculated from that change. Venous compliance is obtained from a differential form of the regression formula. In vivo experiments with human subjects confirmed that the proposed method does differentiate the venous compliances among individuals. In addition, the image of venous compliance is obtained by performing the above procedures for each pixel. Thus, we can measure venous compliance without physical contact with sensors and, from the resulting images, observe the spatial distribution of venous compliance, which correlates with the distribution of veins. |
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AbstractList | We propose a technique for non-contact imaging of venous compliance that uses the red, green, and blue (RGB) camera. Any change in blood concentration is estimated from an RGB image of the skin, and a regression formula is calculated from that change. Venous compliance is obtained from a differential form of the regression formula. In vivo experiments with human subjects confirmed that the proposed method does differentiate the venous compliances among individuals. In addition, the image of venous compliance is obtained by performing the above procedures for each pixel. Thus, we can measure venous compliance without physical contact with sensors and, from the resulting images, observe the spatial distribution of venous compliance, which correlates with the distribution of veins. |
Author | Matsuda, Ryohei Nishidate, Izumi Hoshi, Akira Nakano, Kazuya Satoh, Ryota Suzuki, Hiroyuki |
Author_xml | – sequence: 1 givenname: Kazuya surname: Nakano fullname: Nakano, Kazuya email: kazuya.nakano@nittai.ac.jp organization: Nippon Sport Science University – sequence: 2 givenname: Ryota surname: Satoh fullname: Satoh, Ryota organization: Graduate School of Bio-Application and Systems Engineering, Tokyo University of Agriculture and Technology – sequence: 3 givenname: Akira surname: Hoshi fullname: Hoshi, Akira organization: Graduate School of Bio-Application and Systems Engineering, Tokyo University of Agriculture and Technology – sequence: 4 givenname: Ryohei surname: Matsuda fullname: Matsuda, Ryohei organization: Graduate School of Bio-Application and Systems Engineering, Tokyo University of Agriculture and Technology – sequence: 5 givenname: Hiroyuki surname: Suzuki fullname: Suzuki, Hiroyuki organization: Imaging Science and Engineering Laboratory, Tokyo Institute of Technology – sequence: 6 givenname: Izumi surname: Nishidate fullname: Nishidate, Izumi organization: Graduate School of Bio-Application and Systems Engineering, Tokyo University of Agriculture and Technology |
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Keywords | RGB image Upper-arm occlusion Skin hemodynamics Non-contact measurement Monte Carlo simulation Venous compliance |
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Title | Non-contact imaging of venous compliance in humans using an RGB camera |
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