Method for realizing no-wound human blood glucose measuring by utilizing volume pulse wave characteristic value
A volume pulse wave and eigenvalue technology, applied in blood characterization devices, catheters, etc., can solve the problems of high accuracy requirements of detection equipment, influence measurement results, and low measurement accuracy, and achieve convenient modeling, simple detection equipment, and high accuracy. The effect of precision detection
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specific Embodiment approach 1
[0014] Specific implementation mode 1. Combination figure 1 Describe this embodiment, a method for non-invasively measuring human blood sugar by using the characteristic value of the volume pulse wave, the method is realized by the following steps:
[0015] a: Perform an oral glucose tolerance test on the subject. During the 150 minutes of the test, the volume pulse wave is measured every 5 minutes, and the characteristic value is extracted. The characteristic value is represented by h 1 / h 2 、h 1 / h 3 Said, while utilizing the biochemical analyzer to record the corresponding real-time blood glucose value. Using multiple linear regression algorithm to establish volume pulse wave eigenvalue h 1 / h 2 、h 1 / h 3 and the linear correlation model between instant blood glucose values.
[0016] b: In actual application, measure the volume pulse wave of the subject, and bring the characteristic value of the volume pulse wave into the model established in step a, so as to obtain...
specific Embodiment approach 2
[0017] Specific embodiment two, combine figure 2 and Fig. 3 illustrate this embodiment, this embodiment is the embodiment described in Embodiment 1:
[0018] A. The subjects were subjected to a glucose tolerance test. Weigh 75g of glucose powder with an electronic balance, and take it with 250ml of warm boiled water. In the two and a half hours after taking glucose, a set of data was measured every 5 minutes, including the characteristic value of the volume pulse wave and the corresponding real-time blood sugar value. A total of 28 sets of valid data were obtained. The above 28 groups of data were analyzed by multiple linear regression method, and a linear correlation model was established with a correlation coefficient of 0.83 and a cross-check standard deviation of 15.8 mg / dl. have a good correlation.
[0019] B. Bring the measured pulse wave characteristic value of the subject into the model, and the standard deviation of the obtained result is 16.0mg / dl. It shows tha...
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