Abstract
This paper describes and verifies a non-invasive blood glucose measurement method using a fiber Bragg grating (FBG) sensor system. The FBG sensor is installed on the radial artery, and the strain (pulse wave) that is propagated from the heartbeat is measured. The measured pulse wave signal was used as a collection of feature vectors for multivariate analysis aiming to determine the blood glucose level. The time axis of the pulse wave signal was normalized by two signal processing methods: the shortest-time-cut process and 1-s-normalization process. The measurement accuracy of the calculated blood glucose level was compared with the accuracy of these signal processing methods. It was impossible to calculate a blood glucose level exceeding 200 mg/dL in the calibration curve that was constructed by the shortest-time-cut process. In the 1-s-normalization process, the measurement accuracy of the blood glucose level was improved, and a blood glucose level exceeding 200 mg/dL could be calculated. By verifying the loading vector of each calibration curve to calculate the blood glucose level with a high measurement accuracy, we found the gradient of the peak of the pulse wave at the acceleration plethysmogram greatly affected.
Highlights
In recent years, the number of diabetic patients has been steadily increasing worldwide.This increase has led to strong needs for a rapid, painless, risk-free self-blood-glucose measurement method [1,2,3]
This paper reported a revolutionary method of non-invasive blood glucose measurement using an fiber Bragg grating (FBG) sensor system
This paper reported a revolutionary method of non-invasive blood glucose measurement using levels were calculated using two signal processing methods
Summary
The number of diabetic patients has been steadily increasing worldwide. In report of Spegazzini, Raman spectra were recorded at regular 5 min intervals from the forearms of these volunteers, blood glucose concentrations were calculated by using the improved concentration independent calibration (iCONIC) approach with Raman spectra [10] Since these are methods of irradiating light on the body, there is a danger that the measurement accuracy of the blood glucose level will be influenced by the surface condition and body temperature of the skin of the subject. The paper proposes a new non-invasive blood glucose measurement method, which is based on a pulse wave signal detected using a fiber Bragg grating (FBG) sensor, which is a highly sensitive strain sensor. The result of calculating the blood glucose level from the pulse wave signal measured using the FBG sensor and the prospect of non-invasive blood glucose level measurement by this method are described
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