Method for determining glucose concentration in human blood
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example 1
Processing of Measurement Data for Healthy Volunteer #1
[0093]A 38-year-old healthy male, took a meal (food load) of 300 g of sweet beverage (Pepsi Cola). FIG. 1b shows the graphs of impedance value variation ZHF and ZLF and temperature T° C. recorded by the sensor located on the forearm, while FIG. 1a shows the graph of variation of glucose concentration in the blood of Volunteer #1. Dots indicate values of blood sample taken during the measurements (Roche Accu-Chek Active glucometer was used). The mean error for the measurement interval of 150 minutes was equal to 6.8%.
example 2
Processing of Measurement Data for Healthy Volunteer #2
[0094]A 45-year-old healthy male, took a meal (food load) of two 200 g glasses of sweet beverage (Pepsi Cola). FIG. 2b shows the graphs of impedance value variation ZHF and ZLF and temperature T° C. recorded by the sensor located on the forearm, while FIG. 2a shows the graph of variation of glucose concentration in the blood of Volunteer #2. Dots indicate values of blood sample taken during the measurements (Roche Accu-Chek Active glucometer was used). The mean error for the measurement interval of 140 minutes was equal to 7.2%.
example 3
Processing of Measurement Data for Healthy Volunteer #3
[0095]A 42-year-old healthy male, took a combined meal (food load) of 200 g of sweet beverage (Pepsi Cola) and banana. FIG. 3b shows the graphs of impedance value variation ZHF and ZLF and temperature T° C. recorded by the sensor located on the forearm, while FIG. 3a shows the graph of variation of glucose concentration in the blood of Volunteer #3. Dots indicate values of blood sample taken during the measurements (Roche Accu-Chek Active glucometer was used). The mean error for the measurement interval of 150 minutes was equal to 9.5%.
[0096]The conducted tests showed that the method claimed herein is characterized by lesser error when determining the value of glucose concentration in human blood as compared to the known non-invasive methods.
PUM
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