Abstract: Disclosed is a photoplethysmography-based non-invasive diabetes prediction system, comprising an optical signal transmitter, a driving circuit, a receiving circuit and a processor module. The optical signal transmitter, when driven by the driving circuit, obtains and emits an optical signal of a fixed wavelength and intensity. The receiving circuit converts a received optical signal of photoplethysmography into an electrical signal of photoplethysmography, performs amplification, filtering, digital-analog conversion, and sends the digital photoplethysmography signal to the processor module. The processor module performs signal processing, feature extraction, modeling and prediction on the digital photoplethysmographic signal, and visually displays same. The photoplethysmography-based non-invasive diabetes prediction system and method can achieve non-invasive, real-time and convenient diabetes screening and disease risk prediction.

Abstract: The present invention discloses a universal non-invasive blood glucose estimation method based on time series analysis, which comprises 5 steps, i.e., data input and preprocessing, features screening, establishment of single-feature model based on time series analysis, multi-feature fusion, and non-invasive blood glucose estimation. During non-invasive blood glucose estimation, new non-invasive test data is inputted, and the blood glucose estimation series is calculated using related feature information obtained through modeling, single-feature model, and multi-feature fusion model. The estimation method provided in the present invention is easy to execute, and can overcome the delay between changes of physiological parameters of human body and changes of blood glucose, and thereby can obtain more accurate non-invasive blood glucose test results. The estimation method is universal and is applicable to different non-invasive blood glucose monitoring methods.

Abstract: A multi-sensor non-invasive blood glucose monitoring instrument based on impedance spectroscopy-optical method, which belongs to a blood glucose measuring instrument for human body. The blood glucose monitoring instrument comprises a detection probe, a microprocessor, a display unit and a storage unit. The detection probe comprises a temperature and humidity sensor, an LED array, a photoelectric sensor, a pair of low-frequency electrodes, and a pair of high-frequency electrodes. The high-frequency electrode employs parallel electrodes, a matching inductor is directly soldered to the positive electrode or negative electrode of the electrode, and a shielding electrode is provided around the high-frequency electrode. The distance between the two low-frequency electrodes is 1 cm-2 m, and the low-frequency electrodes can test the low-frequency impedance of the tissue stably.

Abstract: The present invention discloses a universal non-invasive blood glucose estimation method based on time series analysis, which comprises 5 steps, i.e., data input and preprocessing, features screening, establishment of single-feature model based on time series analysis, multi-feature fusion, and non-invasive blood glucose estimation. During non-invasive blood glucose estimation, new non-invasive test data is inputted, and the blood glucose estimation series is calculated using related feature information obtained through modeling, single-feature model, and multi-feature fusion model. The estimation method provided in the present invention is easy to execute, and can overcome the delay between changes of physiological parameters of human body and changes of blood glucose, and thereby can obtain more accurate non-invasive blood glucose test results. The estimation method is universal and is applicable to different non-invasive blood glucose monitoring methods.

Abstract: A multi-sensor non-invasive blood glucose monitoring instrument based on impedance spectroscopy-optical method, which belongs to a blood glucose measuring instrument for human body. The blood glucose monitoring instrument comprises a detection probe, a microprocessor, a display unit and a storage unit. The detection probe comprises a temperature and humidity sensor, an LED array, a photoelectric sensor, a pair of low-frequency electrodes, and a pair of high-frequency electrodes. The high-frequency electrode employs parallel electrodes, a matching inductor is directly soldered to the positive electrode or negative electrode of the electrode, and a shielding electrode is provided around the high-frequency electrode. The distance between the two low-frequency electrodes is 1 cm-2 m, and the low-frequency electrodes can test the low-frequency impedance of the tissue stably.