406 results about "Diagnostic technology" patented technology

Microfluidic devices and methods that use cells such as cancer cells, stem cells, blood cells for preprocessing, sorting for various biodiagnostics or therapeutical applications are described. Microfluidics electrical sensing such as measurement of field potential or current and phenomena such as immiscible fluidics, inertial fluidics are used as the basis for cell and molecular processing (e.g., characterizing, sorting, isolation, processing, amplification) of different particles, chemical compositions or biospecies (e.g., different cells, cells containing different substances, different particles, different biochemical compositions, proteins, enzymes etc.). Specifically this invention discloses a few sorting schemes for stem cells, whole blood and circulating tumor cells and also extracting serum from whole blood. Further medical diagnostics technology utilizing high throughput single cell PCR is described using immiscible fluidics couple with single or multi cells trapping technology.

The invention relates to the technical field of radar circuit fault detection and diagnosis, specifically to a radar signal unit performance test and fault diagnosis system based on a general test platform. The system comprises a general test platform, a test procedure set, an interface connection module, an interface test adapter and a signal processing unit to be tested, the general test platform includes general test instruments and hardware resources including a test procedure set, a programmable power supply, a spectrometer, a signal generator, a digital oscilloscope, a digital triple-purpose meter, a digital I/O, a communication interface, a multichannel ADC and a multichannel DAC, and the test platform is connected with the interface test adapter through the interface connection module. By adoption of a system architecture of the general test platform plus the interface test adapter, the system has very strong universality and expandability, allows multiple equipment to share one test platform, and the interface test adapter adopts a hardware architecture of FPGA+ARM, and has very strong universality, expansibility and reconfigurability.

The invention discloses an analyzing and diagnosing technique of human soma parting according to traditional Chinese medicine theory, which consists of imaging analytical system and software bag, wherein the imaging analytical system contains high-reduction cam and colorful resolving data mode; the software bag concludes foreground mode, data managing mode, diagnosing processing and analyzing mode, inspection processing and analytical mode, diagnosing and project providing mode; the technique can be set on the computer or diagnozer, which is fit for fixing on the specific equipment.

A non-stereo fundus image is used to obtain a plurality of glaucoma indicators. Additionally, genome data for the subject is used to obtain genetic marker data relating to one or more genes and/or SNPs associated with glaucoma. The glaucoma indicators indicators and genetic marker data are input into an adaptive model operative to generate an output indicative of a risk of glaucoma in the subject. In combination, the genetic indicators and genome data are more informative about the risk of glaucoma than either of the two in isolation. The adaptive model may be a two-stage model, having a first stage in which individual genetic indicators are combined with respective portions of the genome data by first adaptive model modules to form respective first outputs, and a second stage in which the first outputs are combined by a second adaptive mode. Texture analysis is performed on the fundus images to classify them based on their quality, and only images which are determined to meet a quality criterion are subjected to an analysis to determine if they exhibit glaucoma indicators. Also, the images are put into a standard format. The system may include estimating the position of the optic cup by combining results from multiple optic cup segmentation techniques. The system may include estimating the position of the optic disc by applying edge detection to the funds image, excluding edge points that are unlikely to be optic disc boundary points, and estimating the position of an optic disc by fitting an ellipse to the remaining edge points.

The invention discloses a numerical control machine tool operation state health diagnosis system and diagnosis method. The system comprises an edge data acquisition module, a cloud platform and a client, the cloud platform is connected with the edge data acquisition module and the client. The cloud platform comprises a predictive diagnosis module, an information management and storage module and an application server; and the predictive diagnosis module comprises a real-time diagnosis module, a post-processing diagnosis module and a comprehensive diagnosis module. According to the system, a cloud platform with a diagnosis function is used for replacing an upper computer, the expandability is greatly improved, the diagnosis and prediction tasks can be completed only by deploying corresponding sensors on the machine tool and connecting the sensors to the cloud platform, the real-time state data of the machine tool are managed in a centralized mode through the cloud platform, and the health condition of the machine tool is evaluated and predicted through the diagnosis technology based on the neural network. The diagnosis method is simpler, and the health diagnosis accuracy is high.

The invention relates to the diagnostic medicine of animals, especially relates to a mycoplasma bovis diagnosis technology, and concretely relates to a multi-epitope fusion antigen having an amino acid sequence represented by SEQ ID NO:1 or SEQ ID NO:2, and its application in the preparation of a mycoplasma bovis diagnosis reagent. The diagnosis reagent can be used as a solid phase vector coating antigen of an indirect ELISA kit and is combined with its specific antibody, a horseradish peroxidase coupled anti-cattle IgG antibody is added and incubated, and a color development reaction is carried out, and the color development degree is proportional to the amount of the anti-mycoplasma bovis antibody in a sample to be measured. The technology has the advantages of simple operation, no need of complex equipment, low technical requirements on the laboratorial conditions and experiment personals, low detection cost, and suitableness for the large-scale development in the basic level and the culture farm; the multi-epitope fusion antigen has a low making cost and is suitable for large-scale application; and has the advantages of high sensitivity and specificity, small batch difference, and high detection result consistence because of the adoption of multi-epitope as a target.

The invention discloses a double-track mixed type ultrasonic flowmeter and a measuring method. The measuring method comprises the following steps: adopting a double-track Doppler method to measure a center flow velocity Vc of fluid flowing through a center of a pipe; adopting a double-track time-relay method to measure a linear average flow velocity Vxc of the fluid flowing through a sound track at the center of the pipe; calculating flow velocity distribution of the fluid to be measured based on the measured center flow velocity Vc and the linear average flow velocity Vxc so as to obtain an average flow velocity Vavg; and calculating to obtain a flow rate of the fluid to be measured according to the average flow velocity Vavg and outputting the flow rate of the fluid to be measured. According to the measuring method disclosed by the invention, the time-relay method and the Doppler method are simultaneously used: a flow rate distributing coefficient can be dynamically calculated and the measuring accuracy is enhanced; due to the dual mode uninterrupted automatic diagnostic technology, the measuring range of the measuring method is enlarged and the measuring method can be uninterruptedly applied to pure single-phase fluid and fluid with a plurality of impurities; and each mode is realized through double-track measuring, thus the reliability and the response speed of measuring are improved.

The invention relates to a three-type fault triangle diagnosis method based on the decomposition component of SF6 gas insulated equipment. The method includes a data source acquiring step, a data processing step, a feature component extracting step, a feature weight selecting step, and a triangle fault diagnosis method model establishing step. The method has the following advantages that 1, the method can simultaneously diagnose GIE high energy discharge faults, PD, and POF; 2, different test conditions, such as micro water, micro oxygen, air pressure and adsorbent, have little influence on the diagnosis result of the triangle fault diagnosis method such that the method is less likely to be affected by field complex environmental factors and has high reliability; 3, the method can providea simple and effective field diagnostic technology for power production units, and solves the problem that it is difficult for power operation and maintenance workers to use SF6 decomposition components to quickly diagnose internal faults of the GIE.

The invention discloses a fault diagnosis method based on minimum entropy deconvolution and a stacked sparse auto-encoder, which belongs to the technical field of fault diagnosis. The method comprisesthe following specific steps of: acquiring an original fault vibration signal of a to-be-diagnosed object, performing minimum entropy deconvolution processing on the original fault vibration signal,dividing the fault samples into a plurality of training samples and test samples, training the multi-fault classifier based on the stacked sparse auto-encoder by adopting a plurality of training samples, classifying the test samples by adopting the trained multi-fault classifier, and identifying the working state and the fault type of the fault object according to the classification result. The fault diagnosis method provided by the invention has high innovativeness, and compared with a traditional intelligent diagnosis algorithm, the fault diagnosis method provided by the invention has high recognition degree in a fault recognition process.

The invention relates to a mechanical fault intelligent diagnosis method based on deep transfer learning, and belongs to the technical field of mechanical equipment fault diagnosis. The method comprises the steps that S1, vibration signals of various faults of the mechanical equipment under different working conditions are collected and preprocessed; s2, Gaussian noise with different signal-to-noise ratios is added to the divided sample set, and various noise environments are simulated; s3, constructing a CAE-DTLN network by using an association alignment and domain adversarial transfer learning method; s4, inputting the training set into the CAE-DTLN, and carrying out iterative updating training on the CAE-DTLN by utilizing a source domain labeled sample classification error, a CORAL index and a domain classifier discrimination error; and S6, inputting the test set into the trained CAE-DTLN, and carrying out migration fault diagnosis on the mechanical equipment under different noises and working conditions. According to the method, anti-noise migration diagnosis can be realized, and the method has a good migration diagnosis effect and strong robustness and generalization ability.

The present invention belongs to immunological parasitic disease diagnosis technology. The reagent kit is prepared via dye labeling process and includes labeling antigen solution compounded with 2BLN disperse blue dye, soluble schistosoma japoncium egg antigen, 1% sodium azide and bow serum albumen blocking liquid; and test paper strip with nitrocellulose as chromatographic film detection lines of human sheep antigen IgG and contrast lines of soluble schistosoma japonium egg resisting rabbit antigen IgG on the chromatographic film. The serum to be tested is mixed with the labeling antigen solution and the mixture liquid is tested with the test paper strip.

The invention discloses a traditional Chinese medicine quantitative color discrimination diagnosis technology and a traditional Chinese medicine quantitative color discrimination diagnosis method on the basis of two-dimensional codes and topological codes. Color discrimination information can be quantitatively diagnosed by the aid of the traditional Chinese medicine quantitative color discrimination diagnosis technology and the traditional Chinese medicine quantitative color discrimination diagnosis method in traditional Chinese medicine diagnosis procedures. The traditional Chinese medicine quantitative color discrimination diagnosis technology and the traditional Chinese medicine quantitative color discrimination diagnosis method include that 1, colors are digitally and quantitatively discriminated by means of tongue observation diagnosis, face observation diagnosis and skin color observation diagnosis; 2, colors shown at interventional treatment locations are digitally and quantitatively discriminated; 3, color observation diagnosis is carried out, and the colors shown at the interventional locations are dynamically diagnosed and analyzed; 4, change of the shown colors is digitally acquired, and coding technologies and remote transmission technologies are implemented; 5, devices include a special image acquisition and analysis device, an automatic control system and an image real-time recognition and analysis system on an acquisition side and are applicable to quantifiable medical diagnosis and treatment evaluation systems. The traditional Chinese medicine quantitative color discrimination diagnosis technology and the traditional Chinese medicine quantitative color discrimination diagnosis method have the advantages that quantitative information can be coded to obtain the two-dimensional codes and the topological codes, the codes can be scanned on user sides, doctor sides and guardian sides by the aid of mobile phones, accordingly, remote multi-side data exchange functions can be implemented, corresponding matched intervention devices can be quantitatively fed, and observation diagnosis information can be wirelessly transmitted and remotely reconstructed.

The invention discloses a helicopter airborne system for controlling and recognizing a power transmission line. The helicopter airborne system for controlling and recognizing the power transmission line comprises a control computer, an image storage compression module, a camera shooting image display, an optoelectronic detector, a video transmission communication module, a control computer based on virtual instrument control interface control and recognition, a digital display, a light-emitting diode (LED) display lamp, a voice alarm, an integrated control keyboard, an infrared collecting amplification module, an infrared thermometer, a charge coupled device (CCD) camera, an infrared camera, a visible light and ultraviolet imager, an infrared thermal television, an operating platform system and a three-dimensional navigation system. An infrared thermal imager and other diagnostic technologies are utilized to detect abnormal infrared radiation and temperature caused by equipment failure under the condition of a long distance, no power outage, no contact, no sampling and no disassembly during a running state of a power transformation device, and the advanced system is provided for power transmission line device state recognition and monitoring.

The invention provides a penicillin fermentation process fault monitoring method based on reconstruction discriminatory analysis and belongs to the field of fault monitoring and diagnostic technologies. The method includes the steps of analyzing the correlation between normal data and fault data to obtain the direction of a fault having greatest influences on normal conditions, eliminating the fault in the data according to the contribution direction of the fault, namely, restoring an industrial condition model to the normal condition, recognizing the type of the fault, and restoring an actual working condition to the normal condition through actual fault solving measures. According to the method, the correlation between the fault and the normal condition is analyzed, so that the monitoring accuracy is greatly improved, safety guarantees are enhanced for the complex industrial process, losses are reduced and the product quality is improved.

The invention provides a network type automobile diagnostic technique assisted teaching system and a teaching effect monitoring method thereof. The system comprises a teacher host and a plurality of student systems performing network communication with the teacher host, wherein the student systems are provided with a student terminal and an automobile diagnosing instrument electrically connected with the student terminal; the student terminal sends a request to the teacher host through network communication; the teacher host analyzes, queries and processes the request after receiving the request and returns a query result to the student terminal through network communication; the automobile diagnosing instrument reads and displays diagnosis fault information; and simultaneously the teacher host monitors the teaching effect and the operating process of each student in real time during teaching, and analyzes the data according to the teaching effect so as to dynamically adjusting a teaching method.

The invention relates to the circuit detection field. In the prior art, a diagnostic technology can not be used to clearly determine which relay is adhesive. The invention aims at solving the above problem and provides a high voltage loop relay adhesion diagnosis circuit and a diagnosis method. The diagnosis circuit of the high voltage loop relay adhesion diagnosis circuit comprises a first voltage detection branch, a second voltage detection branch, a third voltage detection branch, a fourth branch and a fifth branch. The fourth branch is connected between a U_pl potential point and a whole vehicle grounding position GND. The fourth branch comprises a switch device SW_pg and an insurance device F_pg which are connected in series. The fifth branch is connected between the U_pl potential point and the module group grounding position GND_Mn of a whole vehicle. The fifth branch comprises a switch device SW_pm and an insurance device F_pm which are connected in series. The diagnosis circuit also comprises a signal detection unit. The signal detection unit is used for detecting the electric signal of the fifth branch. By using the diagnosis circuit and the diagnosis method of the invention, whether relay adhesion exists and/or which relay is adhesive can be clearly diagnosed and acquired.

The invention discloses a complex chemical process fault diagnosis method based on deep learning multi-model fusion. According to the invention, two neural networks automatically extract fault features from two aspects respectively, then fuse the features and input the features into a multi-layer perceptron (MLP) for further feature compression and extraction, and finally output a diagnosis result. Features are extracted through a convolutional neural network (CNN) and a long-term and short-term memory (LSTM) respectively, and the features finally extracted by the network have space and time characteristics at the same time; and the final diagnosis is carried out by integrating the characteristics of the two aspects, so that the problem of large calculated amount of the existing traditional diagnosis technology is solved, and the technical problem that the fault diagnosis cannot be accurately carried out in the complex chemical process due to the fact that the characteristics extractedby a single network are too one-sided is also solved.

CTnI synthetic polypeptide antibody, its production and use are disclosed. The process is carried out by synthesizing polypeptide by 98-110 amino-acid at N end of amino-acid sequence RQLHARVDKVDEE, taking it as partial antigen to connect with protein carrier, preparing artificial immunogen, immunizing for animal, inducing organism effectively, generating immune response to obtain antibody, specific combined reacting cTnI synthetic polypeptide antibody with natural myoepicardial protein I molecule and coating cellulose nitrate film by the antibody, and reducing by tri-sodium citrate to obtain the final product. It's fast and has better sensitivity and specificity, and it can be used for acute myocardial infarction early diagnostic technology.

The present invention is in the field of nucleic acid-based diagnostic assays. More particularly, it relates to methods useful for the “diagnostic sequencing” of regions of sample nucleic acids for which a prototypic or reference sequence is already available (also referred to as “re-sequencing”), or which may be determined using the methods described herein. This diagnostic technology is useful in areas that require such re-sequencing in a rapid and reliable way: (i) the identification of the various allelic sequences of a certain region/gene, (ii) the scoring of disease-associated mutations, (iii) the detection of somatic variations, (iv) studies in the field of molecular evolution, (v) the determination of the nucleic acid sequences of prokaryotic and eukaryotic genomes, (vi) identifying one or more nucleic acids in one or more biological samples', (vii) and determining the expression profile of genes in a biological sample and other areas.