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7 March 2023 Machine learning analysis of blood flow oscillation using diffuse speckle contrast analysis
Hanbeen Jung, Chaebeom Yeo, Eunsil Jang, Yeonhee Chang, Cheol Song
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Proceedings Volume PC12376, Optical Tomography and Spectroscopy of Tissue XV; PC1237608 (2023) https://doi.org/10.1117/12.2647773
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Many studies on diagnosing adult chronic diseases such as diabetes have been achieved by analyzing blood data. Here, we present machine learning algorithm-based diagnostic methods for diabetes by analyzing blood flow oscillations. We used diffuse speckle contrast analysis(DSCA) to measure the blood flow of rats. It can non-invasively measure changes in the relative blood flow of the tissue. Blood flow data acquired from Streptozotocin-induced and control rats were preprocessed by wavelet transform and then classified from machine learning algorithms. In conclusion, the machine learning method can successfully classify two blood flow oscillations in diabetic and control rats.
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Hanbeen Jung, Chaebeom Yeo, Eunsil Jang, Yeonhee Chang, and Cheol Song "Machine learning analysis of blood flow oscillation using diffuse speckle contrast analysis", Proc. SPIE PC12376, Optical Tomography and Spectroscopy of Tissue XV, PC1237608 (7 March 2023); https://doi.org/10.1117/12.2647773
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KEYWORDS
Blood circulation
Machine learning
Speckle
Diagnostics
Laser spectroscopy
Semiconductor lasers
Spectroscopy
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