Key result
Sample entropy analysis of laser speckle fluctuations resists motion artifacts better than traditional methods.
Why the study?
Traditional laser speckle imaging to monitor blood flow relies on calculating speckle contrast, which is easily affected by motion artifacts.
Does sample entropy analysis of laser speckle fluctuations improve immunity to motion artifacts compared to standard deviation calculation during blood flow monitoring?
Does sample entropy analysis of laser speckle fluctuations improve immunity to motion artifacts compared to standard deviation calculation during blood flow monitoring?
Sample entropy analysis provides a more robust method for calculating speckle contrast in laser speckle imaging, reducing susceptibility to motion artifacts.
May enhance motion-robust speckle contrast calculation; leaves open clinical validation before adoption in flow monitoring.
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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Kim et al. (2021) studied Blood flow monitoring. Sample entropy analysis vs. Standard deviation calculation was evaluated on Immunity to motion artifacts during upper arm occlusion test. Sample entropy analysis of laser speckle fluctuations increased linearly with flow rate and was more immune to sudden movements during an upper arm occlusion test than traditional methods.
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