Abstract: The invention provides a preparation method of high-content Ganoderma lucidum ?-glucan and an efficient and rapid detection method thereof. The preparation method comprises ethanol-trypsin pretreatment of Ganoderma lucidum fruiting body in combination with ultrasonic-assisted alkaline hydrothermal extraction of ?-glucan from Ganoderma lucidum, and purifying ?-glucan by DEAE Sephadex A-25 Sephadex column chromatography using NAOH solution as a mobile phase, to obtain high purity (?90%) of Ganoderma lucidum ?-glucan. The detection method comprises placing the extracted ?-glucan in an autoclave and performing hydrolysis with ?-(1,3)-exo-glucanase and ?-glucosidase, and detecting and analyzing the content of the prepared ?-glucan by high pressure-acid enzymatic hydrolysis-HPLC method, using glucose as a standard. The preparation method of ?-glucan has high extraction ratio.

Abstract: An extendable and a retractable vehicle step may comprise one or more assemblies. An assembly may comprise a first support arm pivotably coupled to a second support arm for extending and retracting a vehicle step. The second support arm may pass through a sleeve that may support and/or guide the second support arm. The sleeve may be rotatable and/or may comprise one or more rollers that may facilitate movement of the second support arm.

Abstract: A system for screening and management of hypertension, which includes a high precision fingertip photoplethysmography (PPG) acquisition device and the application software of hypertension screening and management in a portable device such as a smartphone. The former includes 905 nm wavelength infrared light emitting sensor, photoelectric receiving device, and Bluetooth transmission module. The latter includes PPG signal configuration and acquisition module, automatic hypertension classification and screening module and hypertension management module. The system can process the real-time PPG signal and can classify and evaluate the blood pressure level and carry on the long-term management and the hypertension health instruction.

Abstract: The present invention discloses a non-invasive blood glucose measurement method, applied to noninvasive blood glucose measuring instruments including measuring hosts and fingertip measuring probes, comprising pre-storing a random forest algorithm and a neural network prediction algorithm in the measuring host; measuring energy metabolism parameters of a fingertip of an individual to be measured and transmitting the parameters to the measuring host by the fingertip measuring probe; calling the random forest algorithm to predict the blood glucose type of the energy metabolism parameters of the fingertip of the individual to be measured and calling the corresponding neural network prediction algorithm to calculate the blood glucose value of the fingertip of the individual to be measured by the measuring host. The present invention also provides a fingertip-measuring probe.

Abstract: This patent provides a system for screening and management of hypertension, which includes the following characteristics: High precision fingertip photoplethysmography (PPG) acquisition device and the application software of hypertension screening and management in a smartphone. The former includes 905 nm wavelength infrared light emitting sensor, photoelectric receiving sensor, and Bluetooth transmission module. The latter includes PPG signal configuration and acquisition module, automatic hypertension classification and screening module and hypertension management module. The system can process the real-time PPG signal and can classify and evaluate the blood pressure level, and carry on the long-term management and the hypertension health instruction.

Abstract: The present invention discloses a non-invasive blood glucose measurement method, applied to noninvasive blood glucose measuring instruments including measuring hosts and fingertip measuring probes, comprising pre-storing a random forest algorithm and a neural network prediction algorithm in the measuring host; measuring energy metabolism parameters of a fingertip of an individual to be measured and transmitting the parameters to the measuring host by the fingertip measuring probe; calling the random forest algorithm to predict the blood glucose type of the energy metabolism parameters of the fingertip of the individual to be measured and calling the corresponding neural network prediction algorithm to calculate the blood glucose value of the fingertip of the individual to be measured by the measuring host. The present invention also provides a fingertip-measuring probe.