Method For Noninvasive Blood Glucose Measurement Research Articles

Verification of Non-Invasive Blood Glucose Measurement Method Based on Pulse Wave Signal Detected by FBG Sensor System.

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.

A Noninvasive Measurement of Blood Glucose Concentration by UWB Microwave Spectrum

A noninvasive blood glucose measurement method based on ultrawideband (UWB) microwave detecting technique is proposed for monitoring the patients' blood glucose level. With this method, a noninvasive measurement for the blood glucose determination can be realized by analyzing the received UWB microwave signals. This method is very convenient and is harmless to the patients. The time-frequency features are used to analyze the received signals. The correctness of the method is testified by successfully obtaining the regularity of the energy of the received signals with the range of blood glucose concentration 0-4000 mg/dl in the dispersion case of the configuration. The reliability of the method is also confirmed by obtaining the regularity of the energy of experimental signals at 6.5 GHz for the realistic earlobe phantom with the step of 50 mg/dl in the range of human blood glucose concentration 0-400 mg/dl. The results verify the sensitivity and efficiency of this method.