Journal
CHINESE OPTICS LETTERS
Volume 20, Issue 1, Pages -Publisher
OSA-OPTICAL SOC
DOI: 10.3788/COL202220.011702
Keywords
laser speckle imaging; sample entropy; speckle contrast; blood flow monitoring; motion artifact
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Funding
- GIST
- Brain Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science and ICT [2016M3C7A1905475]
- Basic Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science and ICT [2018R1A2B6006797]
- KBRI basic research program through Korea Brain Research Institute - Ministry of Science and ICT [21-BR-03-05]
- National Research Foundation of Korea [2018R1A2B6006797, 2016M3C7A1905475] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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Laser speckle imaging is a common technique for monitoring blood flow. Using sample entropy analysis instead of standard deviation calculations can improve the accuracy of measuring blood flow and reduce the impact of motion artifacts.
Laser speckle imaging is a common technique to monitor blood flow. The fluctuations in speckle intensity can be related to the blood flow by calculating the speckle contrast, the ratio between the standard deviation of speckle fluctuations and the average intensity. However, this simple statistic calculation is easily affected by motion artifacts. In this study, we applied sample entropy analysis instead of calculating standard deviations of the speckle fluctuations. Similar to the traditional method, sample entropy-based speckle contrast increases linearly with flow rate but was shown to be more immune to sudden movements during an upper arm occlusion test.
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