| Autor: |
Sekhar, M. Gnana, Kumara, S. Krishna |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2587 Issue 1, p1-9, 9p |
| Abstrakt: |
In this paper, the Blood Glycemic level (BG) is measured using saliva as a sample through Fractional Wavelet Transform (FRWT) based on thermal properties and compared with an invasive method. Thermal image of saliva is captured with a thermal camera for 10 subjects(5-Diabetes,5-Non Diabetes) and BG is measured through FWT in image processing. In this proposed work, it is observed that non-invasive linear regression has a higher accuracy of 90% than invasive linear regression, which has an accuracy of 86.8 percent and significance (<0.01) which has been calculated using the SPSS tool. Within the limitations of this study, BG measurement using saliva through FRWT has a higher significance than an invasive technique. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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