Noninvasive blood glucose detection method and device based on bioelectrical impedance analysis method

Abstract

The invention discloses a noninvasive blood glucose detection method and device based on a bioelectrical impedance analysis method, and belongs to the field of electronic information and the biological medical electronic field. The method is characterized in that a traditional blood glucose detection method based on skin blood sampling is changed into the noninvasive blood glucose detection method, and the noninvasive blood glucose detection method comprises the steps that alternating-current currents with the constant size are excited to the human skin through two high-impedance electrodes, the size of the alternating-current voltage between two high-impedance electrodes arranged between the two former electrodes is collected, then the bioelectrical impedance Z between the latter two electrodes can be measured, multiple bioelectrical impedances Z under the different frequencies are obtained through multiple times of measurement through the method of changing the bioelectric frequency, and then blood glucose content data in the human blood is obtained after other interference factors are excluded.

Description

technical field [0001] The invention relates to a non-invasive blood sugar detection method and device based on bioelectrical impedance analysis, belonging to the fields of electronic information and biomedical electronics. Background technique [0002] Diabetes is a very common and common chronic disease, which is a serious hazard to human health. Diabetics need to monitor blood sugar, so as to provide basic blood sugar data for clinical treatment and medication. However, traditional blood sugar detection methods often require blood collection, and the most advanced detection methods still require blood collection from the tip of the finger, which has a considerable psychological impact on users and makes it impossible to achieve long-term real-time monitoring. Therefore, non-invasive blood glucose detection can eliminate patients' psychological fear and provide real-time monitoring data around the clock, which is very important for the treatment and control of diabetes. ...

AI Technical Summary

Problems solved by technology

However, traditional blood glucose detection methods often require blood collection, and the most advanced detection methods still require blood collection from the tip of the finger, which has a considerable psychological impact on users, making it impossible to achieve long-term real-time monitoring

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