184results about How to "Improve diagnosis Rate" patented technology

A fault identification system consisting of multiple reasoning engines and the blackboard analyzes alarm information and the associated contextual information to identify faults. The contextual information associated with an alarm is derived by analyzing the alarm along four spaces, namely, transaction-space, function-space, execution-space, and signal-space. The reasoning engines associated with these spaces infer and / or validate the occurrences of faults. Transaction reasoning engine, using the associated knowledge repository, processes the generated alarms to infer and validate faults. Monitor reasoning engine, using the associated knowledge repository, processes domain specific monitor variables to infer faults. Execution reasoning engine, using the associated knowledge repository, processes execution specific monitor variables to infer and validate faults. Function reasoning engine, using the associated knowledge repository, reasons to infer and validate faults. Signal reasoning engine, using the associated knowledge repository, processes hardware specific and environment variables to infer and validate faults. Global reasoning engine moderates the inferences and validations by other reasoning engines to provide consolidated fault inference. The invention also provides a process, "design for diagnosis," for designing electronic systems with maximum emphasis on fault diagnosis.

A control device diagnoses the operation of a bus arbiter that mediates bus usage requests output by multiple devices in the control device to satisfy both responsiveness and safety. A diagnostic module, implemented as an external diagnostic module, monitors signals related to the arbiter mediation and, if an abnormality caused by a signal sticking condition or an abnormality in a mediation control unit is detected, stops data transfer safely to prevent safety data from being output incorrectly.

The present invention discloses a novel method of increasing the efficacy of small intestine wall video-capsule imaging, by means of controlled administration of pro-kinetic medications. This cost effective method is adapted inter alia for in vivo imaging of the cavities in the digestive tract by means of pro-kinetic medication, comprising among other means administering an predetermined dose of a pro-kinetic drug to increase the forward push of the video-capsule and / or segmentary peristaltic contractions; and obtaining an image of the digestive tract wall, resulting in an increase percentage of visual information about the internal gastrointestinal cavity.

The invention relates to an automatic on-line diagnosis method for freight train coupler tail cotter position faults and a system. The system comprises an image acquisition portion and a diagnosis portion, wherein the diagnosis portion comprises a positioning module and an identification module, the image acquisition portion is used for acquiring a coupler image, the coupler image is positioned and identified respectively by the positioning module and the identification module in the diagnosis portion, the positioning module is used for determining a position of the coupler tail cotter in the coupler image, the identification module is used for determining whether a bolt is lost according to the coupler image acquired by the positioning module, through the positioning module, normalized gradient amplitude characteristics and gradient histogram characteristics in six directions are combined to form composite dimension characteristics, the position of the coupler tail cotter can be acquired by utilizing a linear support vector machine (SVM); for the identification module, difference between the normal coupler tail cotter image and a bolt-lost cotter image are extracted by utilizing Haar characteristics, and an Adaboost decision tree is taken as a final classifier to determine whether a fault is generated.

The invention belongs to the field of mechanical equipment fault diagnosis, and discloses a fault diagnosis method for a rolling bearing based on Bayesian residual transform, singular value decomposition and Gaussian mixture hidden Markov model framework. The fault diagnosis method specifically comprises the steps that firstly a fault bearing signal is acquired; an acceleration sensor fixed on a tested bearing cover amplifies the signal and then transmits the amplified signal to a multi-channel data acquisition analyzer, and the analyzer sends the acquired signal to a PC; secondly, the acquired signal is subjected to the following processing: step one, the signal is decomposed through Bayesian residual transform, noise elimination and reconstruction are performed on the residual signal, the reconstructed signal contains clearer signal features; step two, a singular value vector of the reconstructed signal acquired in the previous step is extracted by adopting singular value decomposition, and the stability of fault features is improved; and step three, classification is performed on bearing faults according to a Gaussian mixture hidden Markov model. The fault diagnosis method has the advantage of accurate diagnosis for a fault of the rolling bearing.

In order to provide a technique of obtaining an image having high diagnosability without degrading the operability in an X-ray CT apparatus that suppresses the amount of exposure of an object by controlling the amount of radiation by setting a target image SD and determining the imaging conditions (tube current) satisfying the target image SD, there is provided an X-ray CT apparatus that controls the amount of radiation according to the size of an object in consideration of the contrast by simply inputting one image quality level as a reference of the image quality level that the operator desires. The input image quality level is set as a target image SD when scanning an object having a standard size with a standard tube voltage.

The invention relates to a novel multifunctional nano diagnosis and treatment agent based on tumor multi-mode co-therapy and a preparation method thereof. The multifunctional nano diagnosis and treatment agent comprises a silicon dioxide casing provided with a cavity and mesoporous channels, gadolinium-mixed upconversion fluorescence nano particles adopting core-shell structures and located in the cavity of the silicon dioxide casing, chemotherapy drug, which is loaded between the silicon dioxide casing and the gadolinium-mixed upconversion fluorescence nano particles, and has sensibilization effect on radiation treatment, and photosensitizer, which is loaded in the mesoporous channels in the silicon dioxide casing.

The invention discloses a personalized electrocardiogram intelligent auxiliary diagnosis device which comprises a feature vector extraction module used for extracting a to-be-trained electrocardiogram feature vector, a heart state classifier generation module used for training the to-be-trained feature vector to generate a heart state classifier, a user identification module used for obtaining user identity label, a heart state classifier storage module used for storing a heart state classifier of a corresponding user based on the user identity label, and a diagnosis module used for obtaining the heart state classifier of the corresponding user based on the user identity label and diagnosing a to-be-diagnosed electrocardiogram feature vector through the heart state classifier to obtain heart state classification, wherein the feature vector extraction module is also used for extracting the to-be-diagnosed electrocardiogram feature vector and a feedback electrocardiogram feature vector, and the heart state classifier generation module is also used for training the feedback electrocardiogram feature vector and updating the heart state classifier. According to the personalized electrocardiogram intelligent auxiliary diagnosis device and method, individual diagnosis can be performed on different individuals, and reference is provided for diagnosis of doctors.

The invention discloses a fuel oil leakage diagnosis method. The fuel oil leakage diagnosis method comprises the following steps: after the time of a vehicle in a post operation stage reaches to preset time, monitoring state information of the vehicle by an engine control unit (ECU), and judging whether the current vehicle meets a preset diagnosis enabling condition or not according to the state information; if the current vehicle meets the preset diagnosis enabling condition, controlling an electromagnetic valve through the ECU to open and starting a gas pump to pump gas for a fuel tank system; and acquiring the pressure change value of the fuel tank system and determining whether the oil tank system is leaked or not according to the pressure change value. The invention also discloses a flue oil leakage diagnosis device and a computer readable storage medium. Fuel oil leakage diagnosis can be executed without making natural vacuum effect after an engine operates for a period of time or having strict requirement on the idling working condition of the engine; meanwhile, high diagnosis robustness and actual diagnosis rate are guaranteed.

The invention discloses a method for generating a body cavity full-view image based on capsule endoscope images, which comprises the following steps of: acquiring the capsule endoscope images and the image format; preprocessing the acquired images; generating the full-view image, wherein the acquired images are respectively subjected to circular image expansion, image registration and image mosaicking and the image obtained after mosaicking is the full-view image; and visually displaying the full-view image. By acquisition of the full-range cavity image through an endoscope, doctors can acquire more open and intuitive visual field during the diagnose, thereby the method is favorable to improve the accurately diagnostic rate of the doctors and shorten the image reading time.

The invention discloses an industrial process fault diagnosis method for a complex fault. The method comprises the steps of collecting sample data in a normal mode and building a fault monitoring model; solving parameters by using maximum likelihood estimation, thereby obtaining probability density functions of variables i; collecting a to-be-diagnosed sample and calculating a statistical quantity; when it is detected that the fault occurs, calculating deviation factors of the variables, and performing training to obtain conditional probability density functions of the deviation factors, thereby calculating out posterior probabilities; and selecting the variable with the highest posterior probability to perform multi-dimensional reconstruction, thereby finding out the fault variable. According to the method, the calculation amount is small, and the industrial process fault diagnosis can be accurately carried out under the complex fault. The method is remarkable for an industrial process result, and effectively aims at the complex fault problems of small faults, multi-variable simultaneous faults, excessively high variable dimension and the like.

A cancerous lesion identifying method via hyper-spectral imaging technique comprises steps of: acquiring a plurality of first pathology images via an endoscopy, wherein the first pathology images are cancerous lesion images respectively; importing the first pathology images into an image processing module to acquire a plurality of first simulating spectra of the first pathology images so as to generate a principle component score diagram in accordance with the first simulating spectra; defining a plurality of triangle areas in the principle component score diagram in accordance with the first simulating spectra; determining whether a principle component score of a second simulating spectrum of a second pathology image is within any one of the triangle areas; and confirming the second pathology image belongs to one of the cancerous lesion images when the principle component score of the second simulating spectrum is within any one of the triangle areas.

The invention provides a method for in vitro detection of plasma protein marker of endometriosis, which comprises the following steps of: collecting plasma sample from a patient; detecting the protein in the sample with mass spectrograph, especially using SELDI-TOF-MS technique; comparing the obtained result with the result obtained from a normal person, and determining the plasma protein marker of endometriosis in combination of bioinformatics. The invention also relates to the use of the plasma protein marker obtained using the method and relates detection reagents in preparing products for diagnosis of endometriosis.

The invention discloses a pancreatic ductal adenocarcinoma marker and a screening method thereof, which belongs to the field of clinical test and diagnosis. In view of the problem that the detection sensitivity and the detection specificity of the existing pancreatic ductal adenocarcinoma diagnosis marker are poor, serum of an early patient of early stage pancreatic duct adenocarcinoma is subjected to a trace metabolomics analysis by the high-performance liquid chromatography-tandem mass spectrometry technology, and different metabolites between normal human and the early stage pancreatic ductal adenocarcinoma patients are found. The different metabolites between normal human and pancreatic ductal adenocarcinoma patients are further analyzed by this technique to find the specific differentmetabolites C10:1 acyl carnitine and lysophosphatidyl choline LysoPC (14:0) of pancreatic ductal adenocarcinoma patients caused by cancer, i.e., the diagnostic molecules of the pancreatic ductal adenocarcinoma. According to the pancreatic ductal adenocarcinoma marker and the screening method thereof, the method can assist CA19-9 in diagnosing pancreatic duct adenocarcinoma patients, and can improve the diagnosis rate for the CA19-9 negative patients by 85%. The method is suitable for the screening of tumor markers.

Bronchoscope adapters and methods of using the same are provided. Aspects of the adaptors include a body having a passageway, a mechanical ventilator access port, a bronchoscope access port configured to receive a bronchoscope into the passageway, and an exit port. The bronchoscope access port comprises a reversibly adjustable inner diameter component that provides locking of the bronchoscope at desired position. The adaptors find use in a variety of different applications.

The invention discloses a CPA primer, kit and detection method for escherichia coli O157:H7. The CPA primer designed for a target rfbE comprises stripping primers 4s and 5a, a crossing amplification primer 2a1s and specific primers 2a and 3a; the nucleotide sequences of the primers are shown as SEQ ID NO.1-NO.5 respectively. A crossing priming amplification reaction detection and identification system designed for specific target sequences rfbE and stx1 of E.coli O157:H7 overcomes the defects of long required cycle, low sensitivity, high cost and difficult field application of methods in the prior art. By selecting a conserved region of the specific sequences rfbE and stx1 of a target strain, a pair of stripping primers, the crossing primer and the specific primers are designed to construct the crossing priming amplification reaction system, and a detection result is obtained within about 60 minutes to shorten the traditional cycle for detecting escherichia coli.

Epithelial cancer screening can include a staining tissue with a cancer targeting agent, identifying a potentially cancerous lesion using fluorescence imaging, and imaging the potentially cancerous lesion for a cancer diagnosis using optical coherence tomography.

The invention provides a construction method of a fuzzy automaton based on machine fault diagnosis, which comprises the following steps of establishing an internal network model of the fuzzy automaton, including an input module, a preprocessing model, a feature extraction model, a fuzzy matching model and an output module which are sequentially connected; distributing the fault information data todifferent neurons in a preprocessing model, and obtaining the output of each neuron by using a multi-input fuzzy inference method; distributing the output signals of the preprocessing model to different neurons in the feature extraction model, and performing fault feature extraction by using a function transformation method; distributing the fault feature signals outputted by the feature extraction model to different neurons in the fuzzy matching model, and calculating a similarity vector of a diagnosed fault fuzzy number vector and a known fault class by using a similarity calculation method; and enabling the fuzzy matching model to diagnose a fault through a vector norm method. The method is wide in application range, a fault sample is tested, and the correct diagnosis rate reaches 92.69%.

The invention provides a method for simultaneously detecting 11 steroid hormones in serum, which relates to the technical field of blood analysis. The method comprises the steps of (1) centrifuging venous blood to obtain serum to be detected; (2) adding a releasing agent A into the internal standard solution to obtain an internal standard working solution; (3) adding methanol into the mother liquor for dilution to obtain a standard curve solution; (4) preparing a test solution: preparing a to-be-detected sample, a standard curve sample and a quality control sample; (5) mixing and centrifugingthe sample to be detected, the standard curve sample and the quality control sample; (6) balancing a solid-phase extraction plate; (7) putting the solution on a balanced solid-phase extraction plate;(8) leaching: putting methanol on the solid-phase extraction plate; (9) elution: collecting an eluent, adding methanol, and carrying out sample injection analysis; and (10) constructing a linear regression equation. The method can simultaneously detect steroid hormones in serum, can simultaneously identify and quantitatively analyze the steroid hormones, and is short in detection time, high in flux, high in detection sensitivity and good in specificity.

The invention relates to a method and a kit for detecting Duchenne muscular dystrophy gene defects, and a primer composition. For the Duchenne muscular dystrophy gene defects, a pre-embryo implantation genetic detection method which is strong in universality, high in diagnosis rate and low in cost is established in a second-generation sequencing platform. According to the method, multiple PCR is carried out on a detected sample for a coding region locus and a target SNP locus of a Duchenne muscular dystrophy gene, and a library is built; then a multiplex PCR product is subjected to high-throughput sequencing analysis, and a haplotype of a mutant allele is constructed by combining with family information, so that a genotype of an embryo is judged; and finally a Duchenne muscular dystrophy gene defect detection result of an offspring is determined. According to the scheme, a cell level pre-experiment is omitted; and based on a high-throughput sequencing technology, different label sequences can be added to samples, so that a large number of samples can be analyzed at one time, and the average sequencing depth can reach more than 100X.

The invention provides a cell processing reagent box for cell detection and its usage method, the reagent box including the specimens preserved fluid, the separating and cleaning fluid, the packet diluted base liquid, and also the cell reserved liquid. Using the reagent box to process the cells, the operation is simple and fast, no need special equipments, low-cost, and good cells processing effect, which will help enhance the accuracy rate of detection, and can be widely applied to the clinic and laboratory.

The invention belongs to the technical field of computer digital image processing and particularly provides a novel lip segmentation algorithm for traditional Chinese medical inspection diagnosis. The novel lip segmentation algorithm comprises the steps of adopting a Haar classifier to conduct face detection on an image including the face to obtain the upper half portion skin image of the face image and using the upper half portion skin image as training data to establish a face skin Gaussian mixture model, calculating a skin probability graph of the lower half face according to the face skin Gaussian mixture model, adopting an iteration method to remove non-lip pixels in the skin probability graph so as to obtain a coarse lip, and performing coarse lip optimization, wherein the coarse lip optimization step includes the sub-steps of establishing Gaussian mixture models for a lip region and a non-lip region in a coarse lip image respectively to obtain a background probability graph of the coarse lip image, adopting an Otsu to conduct binarization processing on the background probability graph and adopting a region growing method and median filtering and 'k-points' methods to perform refinement to obtain a final lip outline. The novel lip segmentation algorithm is a probability model based method, can be used for processing various lip images provided with complicated backgrounds in a self-adaptive mode, and lip segmentation accuracy can be greatly improved.

Provided is a remote medical system architecture based on instant communication tools.The remote medical system architecture comprises an interactive application layer, a professional tool layer, a communication tool layer, a network layer and a platform layer, wherein the interactive application layer is formed by network interactive applications and used for forming a remote interactive process with environmental pertinence and service pertinence, the professional tool layer is formed by medical professional equipment and multimedia interactive tools and used for obtaining professional medical data and building interactive simulation scenes, the communication tool layer is formed by the instant communication tools or applications and real-time communication tools or the applications and used for establishing customizable random connection and stable connection of end-to-end communications, the network layer is formed by a synchronous communication circuit network and an asynchronous communication circuit network and used for forming a end-to-end communication relay network with robustness, and the platform layer is formed by an resource server or a website and a control server or the website and used for controlling the resource allocation process.By means of the remote medical system architecture based on the instant communication tools, remote medical systems which are different in pertinence and status are achieved.The invention further provides a corresponding link establishment method.

The invention provides a sputum exfoliated cell preservation liquid with capacity of effectively improving a sputum specimen retention method and a slide preparation method as well as a preparation method of the sputum exfoliated cell preservation liquid. The sputum exfoliated cell preservation liquid is mainly prepared from polyethylene glycol-400 as a cell protecting agent, dithiothreitol as a mucus decomposer, ethyl alcohol as a cell stabilizer and the like. With the application of the sputum exfoliated cell preservation liquid, sputum can be preserved once spit, so that the sputum retention method is regulated, sputum collection time and storage time are prolonged, and cells in the sputum are prevented from autolysis and denaturation; meanwhile, the sputum treated with the preservation liquid can be applied to preparation of slides from liquid based thin-layer cells, therefore, the collection quantity of the cells is increased, the slide preparation effect is improved, and positive rate of sputum exfoliated cell detection is effectively increased. After application of the technology, sputum exfoliative cytologic examination can be simpler, more convenient, easier, safer and more economical and can be more easily popularized and used, and the sputum exfoliated cell preservation liquid and the preparation method thereof can be one of main methods for early diagnosis and screening of lung cancer, thereby effectively increasing early diagnosis rate and recovery rate of lung cancer and bringing benefits to humans.

The invention discloses a hierarchical adaptive threshold function-based wavelet threshold denoising method. In a process of collecting a bearing signal of a rotary machine, due to interference of field equipment and environment, the collected signal contains noises; and for ensuring real and effective measurement data, it is necessary to perform denoising processing on the collected original bearing signal. The threshold function which is continuous at a threshold, is derivable in a wavelet domain and has a trend parameter is built; by calculating entropy values of noise signal energy and total signal energy of wavelet decomposition layers, the trend parameters of the layers are obtained; and threshold function mathematic models corresponding to the wavelet decomposition layers are obtained. According to the method, the trend parameters are adaptively selected in the decomposition layers through a wavelet threshold function; and noise components in bearing outer ring fault, inner ringfault and ball fault signals can be removed more effectively to achieve a better denoising effect.

The invention discloses anti-VEGF (Vascular Endothelial Growth Factor) and anti-EGFR (Epidermal Growth Factor Receptor) bispecific antibody fusion protein. The anti-VEGF and anti-EGFR bispecific antibody fusion protein is prepared from an anti-VEGF single-chain antibody and an anti-EGFR single-chain antibody, has two groups of unique CDR region sequences which are capable of respectively identifying VEGF and EGFR, has high-specificity identification ability on VEGF and EGFR and has an excellent tumor binding effect and an excellent tumor locating effect. The invention also discloses application of the anti-VEGF and anti-EGFR bispecific antibody fusion protein coupling with an indicator in preparing an in-vitro tumor diagnosis reagent and an in-vivo bioimaging agent. In-vivo tumor imaging can be carried out by the anti-VEGF and anti-EGFR bispecific antibody fusion protein coupling with a MRI contrast medium and a fluorescent imaging agent; the molecular weight of the anti-VEGF and anti-EGFR bispecific antibody fusion protein is small and the fusion protein can be expressed in a prokaryotic cell expression system, and the production cost of antibody medicine is greatly reduced.

The invention discloses a kit for jointly detecting acute myocardial infarction biomarkers. The kit comprises a working microsphere probe solution, a human cTn I series gradient standard substance solution, a human CK-MB series gradient standard substance solution, a human MYO series gradient standard substance solution, a triple acute myocardial infarction biomarker monoclonal antibody solution, a 100 * diluted streptavidin phycoerythrin solution and a 200 * diluted biotinylated mouse anti-human secondary antibody IgG solution. The kit establishes a high-throughput detection method of an AMI biomarker, can simultaneously and rapidly detect cTn I, CK-MB and MYO within 2 h, is suitable for the early diagnosis of AMI and finding of the AMI, improves the diagnosis rate of the AMI, and has high clinic examination application values in the early screening, disease condition monitoring, curative effect observation and recurrence judgment prediction and other stages of the AMI.

The invention provides a bronchoscopy adaptor. The bronchoscopy adaptor comprises a body, a mechanical breathing machine join-up end opening, a bronchoscope join-up end opening and an outlet. A channel is arranged in the body. The mechanical breathing machine join-up end opening is arranged on the body and connected with the channel, and the mechanical breathing machine join-up end opening is used for enabling a mechanical breathing machine to be connected with the channel. The bronchoscope join-up end opening is arranged on the body and connected with the channel, and the bronchoscope join-up end opening is used for receiving a bronchoscope and enabling the bronchoscope to enter the channel. The outlet is formed in the body and connected with the channel, and the outlet is used for being connected with a tracheal catheter so as to enable the tracheal catheter to be connected with the channel. The bronchoscopy adaptor further comprises a component with the inner diameter capable of being adjusted in two ways, and the component is detachably arranged in the bronchoscope join-up end opening. The bronchoscopy adaptor can reduce human errors and improve the diagnostic rate.