Abstract: A biosensing system having biosensors coated with co-polymers and their uses thereof includes a substrate, a working electrode on top of the substrate, a detection layer on top of the working electrode, a biocompatible membrane on top of the detection layer, a blank electrode, wherein the blank electrode is substantially same as the working electrode and covered directly by the biocompatible membrane, a reference electrode, and a counter electrode; a DC power supply; a current measuring unit; an AC impedance measuring unit; a circuit switch; a control unit; and a data processing unit, wherein the peptide probe includes an enzyme, an antibody, or a polymer comprising a peptide, wherein the peptide probe includes an oxidoreductase, wherein the peptide probe includes glucose oxidase, glucose dehydrogenase, or horseradish peroxidase, wherein the metallic nanoparticle is a platinum nanoparticle, a gold nanoparticle, or an iridium nanoparticle.

Abstract: Intelligent real-time blood glucose monitoring system and method based on cloud big data is disclosed. The system includes an implantable dynamic glucose sensor, a smart phone, a blood glucose monitoring software application installed on the smart phone, a finger blood glucose meter, and a big data cloud server. By processing historical blood glucose measurement data of a user stored in the cloud, the monitoring system effectively corrects and influences signal differences produced by individual users so as to ensure the validity and accuracy of measurement signals during sensor operation.

Abstract: A glucose electrochemical sensor based on a hydrogel of a cationic redox polymer containing a transition metal complex medium, and a preparation method thereof. A sensing layer of the glucose electrochemical sensor comprises a cationic redox polymer containing a transition metal complex medium, glucose oxidase, and a crosslinking agent. The glucose electrochemical sensor can specifically measure glucose, and the linear correlation coefficient between a stable current signal of the glucose electrochemical sensor and the glucose concentration is high. The influence of interfering substances on glucose measurement can be eliminated, and the influence of oxygen concentration in a solution on glucose measurement can also be eliminated.

Abstract: A cloud big data-based system and method for insulin pump individualized configuration optimization are provided. The system includes an insulin pump, a real-time continuous glucose monitoring system, a smart phone, a glucose monitoring application software installed in the smart phone and a cloud big data server. By means of personal blood glucose measurement historical data of users stored in the cloud, the insulin pump individualized configuration optimization system provides effective calculation of an individualized optimal insulin injection volume and injection rate for each user, thus aiding physicians and patients to formulate diabetes treatment plans with increased effectiveness.

Abstract: Intelligent real-time blood glucose monitoring system and method based on cloud big data is disclosed. The system includes an implantable dynamic glucose sensor, a smart phone, a blood glucose monitoring software application installed on the smart phone, a finger blood glucose meter, and a big data cloud server. By processing historical blood glucose measurement data of a user stored in the cloud, the monitoring system effectively corrects and influences signal differences produced by individual users so as to ensure the validity and accuracy of measurement signals during sensor operation.

Abstract: An insulin pump bolus infusion control method. A control module of a pump body controls the pump body to start a bolus infusion control mode after receiving a function starting signal; in the bolus infusion control mode, a bolus key of a control terminal or a bolus key of an insulin pump body sends an infusion dosage signal to the control module by means of one or more operations; if the control module receives a confirmation signal within a predetermined period of time, then the control module controls the pump body to start bolus infusion; and if the control module receives a cancellation signal or does not receive the confirmation signal within a predetermined period of time, then the control module controls the pump body to exit the bolus infusion mode. Using the method enables an insulin pump to execute a more reasonable control when carrying out the bolus infusion, i.e., starting, setting and implementation of the bolus infusion, and enables a simple and quick operation.

Abstract: A biosensing system having biosensors coated with co-polymers and their uses thereof includes a substrate, a working electrode on top of the substrate, a detection layer on top of the working electrode, a biocompatible membrane on top of the detection layer, a blank electrode, wherein the blank electrode is substantially same as the working electrode and covered directly by the biocompatible membrane, a reference electrode, and a counter electrode; a DC power supply; a current measuring unit; an AC impedance measuring unit; a circuit switch; a control unit; and a data processing unit, wherein the peptide probe includes an enzyme, an antibody, or a polymer comprising a peptide, wherein the peptide probe includes an oxidoreductase, wherein the peptide probe includes glucose oxidase, glucose dehydrogenase, or horseradish peroxidase, wherein the metallic nanoparticle is a platinum nanoparticle, a gold nanoparticle, or an iridium nanoparticle.

Abstract: Biosensors coated with co-polymers and their uses thereof includes a substrate; a working electrode on top of the substrate; a detection layer on a top of the working electrode, wherein the detection layer comprises a metallic nanoparticle, polydopamine, and a peptide probe; a biocompatible membrane on a top of the detection layer, wherein the biocompatible membrane comprises a triblock polymer A-b-B-b-C, wherein: A is a hydrophilic soft segment, B is a hydrophobic hard segment, C is a flexible polymer segment, and b is a chain extender.

Abstract: A cloud big data-based system and method for insulin pump individualized configuration optimization are provided. The system includes an insulin pump, a real-time continuous glucose monitoring system, a smart phone, a glucose monitoring application software installed in the smart phone and a cloud big data server. By means of personal blood glucose measurement historical data of users stored in the cloud, the insulin pump individualized configuration optimization system provides effective calculation of an individualized optimal insulin injection volume and injection rate for each user, thus aiding physicians and patients to formulate diabetes treatment plans with increased effectiveness.