90results about How to "Early prevention" patented technology

The present invention discloses an AI (artificial intelligence)-based eye health assessment method and belongs to the artificial intelligence medical detection technical field. The method includes thefollowing steps that: a plurality of fundus images and eye basic data are acquired, the acquired data are structurized, eye feature attributes are analyzed, health indexes are provided according to the eye feature attributes; and the fundus image of a user is pre-processed through an image processing algorithm, and feature extraction is performed on the pre-processed fundus image; and an eye health assessment model is constructed through using a deep learning algorithm; and the eye health assessment model is imported through a cloud computing platform, a health report is generated, and an health index is outputted. With the method adopted, the health statuses of eyes can be detected conveniently; a direct feedback can be provided for a user; and disease prevention and daily health management can be facilitated.

The invention discloses an energy imaging system and an application thereof in a motor device fault detection method. The system comprises a plurality of collection device terminals, a plurality of edge computing devices, and a cloud server. Each edge computing device is in communication connection with at least one collection device terminal. The cloud server is in communication connection with each edge computing device. The motor device fault detection method adopts the system and a device fault classification algorithm based on a deep learning improved sparse autoencoder algorithm. The system and the method can accurately predict potential faults that may occur in the operation of the motor device, so as to achieve the gain effect of early prevention and overall repair. Meanwhile, a traditional cloud computing method with large computational amount, complicated computing process, and high requirements on hardware equipment is replaced by an edge computing method with small computational amount, fast computational speed, and low requirements on hardware, so that the computational efficiency is improved.

The invention discloses a mobile health data collection and integrated management system employing the internet + and an application method thereof. The mobile health data collection and integrated management system comprises an ID card reader, a tablet computer, an oximeter, an infrared thermometer, electrocardiogram equipment, a urine analyzer, a multifunctional glucometer, a sphygmomanometer and a portable printer; a mobile health data collection and integrated management system APP is arranged in the tablet computer and comprises health follow-up project question and answer to automatically draw a conclusion; the ID card reader, the oximeter, the tablet computer, the infrared thermometer, the electrocardiogram equipment, the urine analyzer, the multifunctional glucometer, the sphygmomanometer and the portable printer are connected with a wireless bluetooth of the tablet computer separately. According to the mobile health data collection and integrated management system employing the internet +, various small portable instruments are matched with a wireless bluetooth technology and connected with the tablet computer, comprehensive data collection can be carried out on the physical condition of a testee, and analyzing, tracking and recording of comprehensive situations of chronic diseases are facilitated.

The invention discloses an intelligent medical remote monitoring platform based on cloud computing. The intelligent medical remote monitoring platform based on cloud computing comprises a front end sensor, an intelligent terminal, a wireless network, a remote cloud service center and a server client-side, wherein the front end sensor is used for collecting the state of the illness and the physical condition of a patient through nodes, and monitoring various important physical signs of the body of the patient in real time; the patient sends the data collected by the front end sensor to the remote cloud service center through the intelligent terminal and the wireless network; a doctor logs in the remote cloud service center through the server client-side, obtains the physical condition of the monitored patient and informs the patient to seek medical advices according to a diagnosis result. According to the intelligent medical remote monitoring platform, by means of the informatization means and advantages of cloud computing, resource sharing among medical and sanitary institutions is built, medical service resources are best integrated, and development of medical informatization construction is promoted.

The invention relates to a simple mask-cleaning method. A mask to be cleaned is placed in a container including concentrated sulfuric acid and hydrogen peroxide mixed solution (SPM) to be soaked for several minutes, is sequentially flushed by deionized water and absolute ethyl alcohol and is finally blown to dry by high-purity nitrogen. By detecting the cleanliness of the mask via a photoetching product, a user discovers that original sewage is removed from the mask cleaned by the method to realize cleanliness and the cleaned mask can be put into production again.

The invention relates to a wearable coronary heart disease detection device which comprises a patch and a receiving terminal. The patch comprises a heart sound detection sensor, an ECG (electrocardiogram) sensor and a first PPG (program pulse generator) sensor which are used for detecting heart sound signals, ECG signals and first pulse oximeter signals. The receiving terminal receives the heart sound signals, the ECG signals and the first pulse oximeter signals wirelessly transmitted by the patch and is provided with a second PPG sensor and a processor, wherein the second PPG sensor is used for sensing second pulse oximeter signals, and the processor processes the signals to obtain coronary heart disease risk degree indexes. By the aid of the device, the coronary heart disease risk degreeindexes and the cardiovascular function status of a wearer can be acquired.

The invention discloses an automatic monitoring system for a scaffold having higher danger coefficient. Sensing units include an axial force meter and a strain gauge. The axial force meter is used for recording scaffold vertical rod axial force data. The strain gauge records vertical rod and horizontal rod deformation data. A data acquisition module is connected with the axial force meter and the strain gauge installed on the scaffold. A GPRS transmission mode module is connected with the data acquisition module and a data center module. The data acquisition module transmits the acquired data to the data center module through a GPRS network. The data center module is a computer host or a server equipped with data processing software and feeds the result back to a client side module. The client side module is used for receiving information fed back by the data center module. The information acquisition technology, the network transmission technology, the internet of things technology and the database technology are applied to automatically acquire the axial force and strain data of the scaffold rod member, and the data are stored, transmitted, analyzed and fed back so that the problem of safety monitoring of the scaffold having higher danger coefficient can be solved, and scaffold collapse and other construction quality accidents can be reduced and prevented.

The invention provides a bacillus amyloliquefaciens strain, a lipopeptid mixture produced by bacillus amyloliquefaciens strain, and relevant application, and belongs to the technical field of microbial fermentation. The strain is bacillus amyloliquefaciens FJAT-46737 and is conserved in China Microbe Preservation Management Committee General Microbiological Culture Center on September 22, 2017, and the preservation serial number is CGMCC No.14661. The ipopeptid mixture produced by the bacillus amyloliquefaciens strain comprises C 14-C 16 iturin A, C 14-C 16 surfactin, C 16 fengycin A, C 16 fengycin A 2, C 16 fengycin B and C 16 fengycin B 2. The lipopeptid mixture can well prevent and control pathogenic bacteria of plants and animals, and has a good application prospect.

The invention relates to a portable uterine contraction pressure monitoring system based the NFC and the bluetooth. The portable uterine contraction pressure monitoring system comprises a uterine contraction pressure signal acquisition and wireless transmission hardware module and an Android mobile phone upper computer application. A uterine contraction pressure signal output by a sensor is transmitted to a microcomputer after being amplified and filtered to perform AD acquisition conversion, and undistorted acquisition of the uterine contraction pressure signal of a pregnant woman can be achieved. The processed uterine contraction pressure signal is transmitted to an Android mobile phone by means of the NFC and the bluetooth, the relevant application developed in the Android mobile phone performs corresponding computing and processing on the received signal, and functions of signal display, storage and remote transmission can be achieved. By means of the portable uterine contraction pressure monitoring system based the NFC and the bluetooth, acquisition, transmission and storage of the uterine contraction pressure signal are achieved, and the traditional signal acquisition and transmission processes can be simplified.

This invention discloses a method to check primary hypertension which is easy to infect, it includes the detection of individual glycerol 3-phosphate dehydrogonase's gene (GPD2), whether the transcript or protein is changed as normal lever, if there is difference, it shows that the individual is apt to infect the primary hypertension than the normal. This invention also discloses corresponding measuring reagent box.

The invention belongs to the field of molecular detection of plant diseases, and particularly relates to a phyllachora dalbergiicola molecular detection primer and a fast detecting method for dalbergia odorifera. Nest PCR amplification, PCR product amplification analysis, agarose gel electrophoresis and result determination are carried out on a pair of designed phyllachora dalbergiicola specific primers of dalbergia odorifera. If phyllachora dalbergiicola exits in a sample, a target strip of 273 bp can be generated in sepharose gel under ultraviolet light; and if the strip does not appear, no phyllachora dalbergiicola exists. The primer is high in specificity, and the phyllachora dalbergiicola, phyllachora graminis, phyllachora phyllostachydis, and other pathogenic bacteria and endophytic fungi separated from dalbergia odorifera and pterocarpus macrocarpus can be distinguished. Moreover, the primer is high in sensitivity and can be used to detect a phyllachora dalbergiicola genome DNA with the lower limit of 100 ag/[mu]L. The detecting method is fast, and an accurate detecting result can be obtained within eight hours while a detecting result only can be obtained within at least four days or more than one week through a traditional disease diagnosis method.

A remote real-time cardio-electric monitor technique for taking care of health and pre-diagnosis includes such steps as sampling by touch probes, connecting mobile telephone and wireless terminal by AT command, connecting wireless communication network, transmitting cardio-electric data to monitor center, analyzing the data by an automatic diagnosing program, consultation between experts, and transmitting result to user by short message or telephone.

The invention relates to a puccinia triticina f.sp.tritic monoclonal antibody and a preparation method and application thereof, which belong to the field of biotechnology. The preparation method for the puccinia triticina f.sp.tritic monoclonal antibody comprises three steps of immunizing animals with an antigen, preparing hybridoma through cell fusion, and excreting the monoclonal antibody from the hybridoma. The preparation method is characterized in that the antigen is a urediospore of puccinia triticina f.sp.tritic. The puccinia triticina f.sp.tritic monoclonal antibody is used for detecting the puccinia triticina f.sp.tritic and has the advantages of good specificity, high sensitivity, and simple, convenient and quick operation.

The invention relates to a compound microbial agent with biocontrol and nutrition effects. The compound microbial agent comprises the following substances with the concentration: 1-10 billion/mL of bacillus subtilis, 1-10 billion/mL of bacillus thuringiensis, 0.01-0.1 billion/mL of lactobacilluus paracase, 0.01-0.1 billion/mL of lactobacillus plantarum, 200-300 g/L of calcium lactate, 7-10 g/L ofchitosan, 30-50 g/L of fulvic acid, and the balance being water. The compound microbial agent is a soluble high-calcium nutrient fertilizer and also contains four biocontrol nutrient bacteria, so thatplant diseases and insect pests can be effectively prevented and treated as soon as possible in the early stage of disease attack, and the effect of supplementing nutrient elements and the biocontrolbacteria at the same time is achieved.

A pre-judgment analysis method for equipment defects comprises the following steps: completing fixed asset registration ledger, and classifying and marking equipment in the fixed asset registration ledger; an equipment ledger information input management module; screening and detecting equipment defects; screening out the state quantity of which the value of the effective detection efficiency is greater than a preset threshold value as a concerned state quantity; the processing module sets a plan according to the attention state quantity of each device in the device operation and maintenance management module; and the management monitoring module is used for managing equipment deviation and defects. Omnibearing machine account automatic monitoring and management are carried out on power grid equipment defects, online defect elimination assignment and auditing can be carried out, the equipment operation and maintenance defect elimination efficiency is improved, performance data of equipment are comprehensively monitored, accurate early warning of the equipment defects is achieved, accidents are effectively restrained, early discovery, early prevention and early processing can be carried out, and the system is high in practicability and easy to popularize. Therefore, further expansion of accidents is prevented, the effect of emergency rescue work is improved, and accident loss is reduced.

The invention discloses a method to test essential hypertension susceptibility that includes ACE2 used to test individual, transcript and/or albumen comparing to normal to see whether variation exists. The invention also discloses the corresponding testing agent box.

The invention discloses a diabetes early warning method based on self-supervised DNN. The method the following steps: performing data preprocessing on original body index data, including label processing, numeralization processing, standardization processing, missing value processing and feature value selection processing; designing three deep neural networks, and carrying out model batch iteration training by taking the processed data as input; carrying out the data processing steps on the original body index data of a user to be predicted, inputting the data into the trained model, and carrying out diabetes disease risk visualization early warning. The invention further discloses a diabetes early warning system based on the self-supervised DNN, computer equipment and a computer readable storage medium. According to the self-supervised learning method, deep association of user health indexes can be mined through a small amount of label data, the designed model can adapt to other prediction tasks, and the method has the advantages of reliability, universality and the like.

A community-based remote physiological parameter monitor for old people adopts an MSP430F1612 single-chip microcomputer as the control center, and mainly completes initialization, data reading, transmitting and processing of a body temperature acquisition module, a blood oxygen acquisition module, a blood pressure acquisition module and a GPS module. The monitor transmits measured data to a remote monitor side interface through GPRS, so that attending doctors and family members can pay close attention to the physical conditions and activities of old people through the interface in real time. The monitor can simultaneously monitor the physiological data of body temperature, blood oxygen, pulse rate and blood pressure of the old people in a community; the old people can monitor own physiological parameters through the monitor, and after measuring the physiological data, the monitor remotely transmits the data to the hospital monitoring side interface or child monitoring side interfaces through GPRS; the monitor is based on community monitoring, the old people and patients with chronic diseases only need to stay in the community to complete physical examination in real time; and therefore, conversion from the medical treatment mode (symptomatic treatment) to the mode taking prevention, early-stage diagnosis and early-stage treatment as the center is promoted.

The invention discloses a feature extraction and classification method based on electroencephalogram signals. The method comprises the following steps: acquiring an electroencephalogram signal inducedby the stimulation picture through an EEG electroencephalogram acquisition system; carrying out denoising preprocessing on electroencephalogram signals by using a principal component analysis method,performing feature extraction on the preprocessed EEG electroencephalogram signals, performing sorting recursion analysis on a sorting recursion graph, obtaining the nonlinear feature parameter recursion rate and determinacy numerical values of the electroencephalogram signals, and establishing a database according to the range of feature values. According to the method, the electroencephalogramcharacteristics are extracted and analyzed from a brand-new angle, and the sensitivity and the accuracy are combined, so that the method can be used for EEG electroencephalogram analysis under different physiological states or different dementia degrees.

The invention relates to a Chinese herbal medicine preparation for preventing and curing mycotic diseases infected by beasts and birds. The Chinese herbal medicine preparation is prepared from the following bulk drugs in parts by weight: 10-40 parts of baical skullcap roots, 10-20 parts of rheum officinale, 10-40 parts of hawthorns, 10-30 parts of medicated leaven, 10-30 parts of silybum marianum and 10-30 parts of pine needle meal. The Chinese herbal medicine preparation provided by the invention has a strong mycete restraining and killing capability, can resolve toxicant, is liver protective and cholagogue, and cardiotonic and diuretic, and has good preventing and curing effects.