275 results about "Diagnostic tools" patented technology

The invention provides a method and a system for measuring plasma current in a quasi-ring symmetrical star simulator, and relates to the technical field of star simulators, and the method comprises the steps: determining a sensor design index according to a bootstrap current simulation calculation result, and converting the design index into an actual arrangement scheme according to an installation environment constraint; all the magnet coils are independently excited in a plasma-free state, wall eddy current interference signals generated by the magnet coils are calibrated, and thus wall eddy current calibration voltage signals are output; a sensor in an actual arrangement scheme is used for synchronously collecting a total original induced voltage signal including plasma current and wall eddy current; an integral voltage signal representing the total current is output; and compensating the integral voltage signal by using the wall eddy current calibration voltage signal, and inverting the final measurement value of the plasma current in the quasi-ring symmetric star simulator. The device and the method have the beneficial effects that the interference of a stray field on a measurement result is weakened, and a high-precision diagnostic tool is provided for the plasma physical research of the star simulator.

This invention belongs to the field of biological detection technology, specifically relating to a monoclonal antibody combination for detecting feline NT-proBNP protein and its applications. The monoclonal antibody combination of the present invention comprises monoclonal antibodies 3A6 and 5H5. These two antibodies possess unique heavy and light chain variable region complementarity-determining regions, respectively, and their amino acid sequences have been fully defined (SEQ ID NOs. 1-12). This antibody combination can specifically recognize and efficiently bind to feline NT-proBNP protein, making it suitable for the development of a highly sensitive and specific diagnostic tool for feline cardiomyopathy. By constructing a double-antibody sandwich ELISA assay system, the minimum detection limit can reach 100 pg / mL, and it exhibits excellent specificity and stability.

The invention discloses a method for constructing a machine learning model based on cerebellar subregion multi-modal radiomics. According to the method, [18F] FDG PET metabolic features and 3DT1 W MRI structural features of a cerebellar subregion are extracted, a random forest classification model is constructed after feature selection, and high-precision identification of the Alzheimer's disease (AD) and a cognitive normal (CN) is realized in combination with SHAP analysis. According to the method, the multi-modal radiomics characteristics of the cerebellar subregion are integrated for the first time, the accuracy and interpretability of AD early diagnosis are improved, and a non-invasive and efficient diagnosis tool is provided for clinic.

A development system for predictive diagnostics is provided. During operation, the system can perform a first diagnostic test on a distributed computing system based on a first restriction level indicating resource consumption of a first set of hardware units. The distributed computing system can include a plurality of computing devices with processing and memory resources. The system can generate a first log comprising a first set of parameter values indicating an output of the first diagnostic test at the first restriction level of the distributed computing system. The system can configure a first diagnostic tool with the first set of parameter values to emulate the first diagnostic test. The system can then apply the first diagnostic tool to obtain a second set of parameter values indicating an output of the first diagnostic test at a second restriction level, which can be higher than the first restriction level.

The invention relates to the technical field of attention deficit hyperactivity disorder detection, and discloses a device for detecting cognitive and developmental conditions of children with hyperactivity disorder, which comprises a handle, a head-mounted device, a bracelet, a hierarchical adaptive algorithm module, a multi-dimensional execution module and a data fusion and analysis module, a multi-mode sensing module is arranged in each of the handle, the head-mounted device and the bracelet; a motion capture unit, a high-sensitivity key array, a tactile feedback module and a wireless transmission module are integrated in the handle, and a wireless electroencephalogram acquisition module, a miniature near infrared spectrum module and an eye movement tracking module are integrated in the head-mounted device. According to the invention, through deep fusion of a multi-dimensional cognitive evaluation system and gamepad hardware, the device not only breaks through the limitation of the traditional neuropsychological test in methodology, but also realizes refined capture of ADHD heterogeneity characteristics in the technical level, and provides a hardware basis for establishing an objective and quantitative diagnostic tool with high ecological efficiency.

The invention relates to the technical field of agricultural intelligent prediction, and discloses a fertilization decision-making system fusing soil and rice growth vigor information data acquisition and analysis, which is characterized in that a microcontroller controls an irrigation valve to apply an irrigation pulse with a preset duration, and a soil humidity sensor is used to monitor a time interval when moisture falls back from a peak value to a baseline; according to the method, irrigation behaviors are reconstructed into an active diagnostic tool, traditional chemical index detection is replaced by physical process dynamic monitoring, lag adjustment is converted into a pre-prediction mode, meanwhile, acoustic verification and a differential correction mechanism are combined, and the crop transpiration rate is predicted. And an anti-environmental interference accurate decision-making system is constructed on the basis of low-cost hardware.

The application provides a CPU platform fault log recording method and device, comprising: receiving the running log data stream output by the CPU debugging serial port in real time; collecting the sampling value of the key power supply voltage and monitoring the hardware signal line to obtain the restart event signal and the shutdown event signal; packaging into a structured log recording unit; and writing the compressed log data block back to the flash memory; in response to the external reading instruction, reading the log data block from the specified log area of the flash memory and transmitting to the host end diagnostic tool; reorganizing and displaying in time sequence for fault analysis. The application can construct a log recording channel completely independent of the main CPU and operating system without increasing any additional hardware cost, ensuring that even in the most extreme system failure scenario, the complete context information at the fault moment can be reliably saved, thereby greatly improving the diagnosis efficiency and accuracy of the occasional fault.

The invention discloses a highly inert Gd-DOTA-based contrast agent with a hydrophobic side chain as well as a preparation method and application of the highly inert Gd-DOTA-based contrast agent, and two novel Gd-DOTA-based contrast agents Gd-L1 and Gd-L2 are successfully developed by respectively connecting hydrophobic 3-phenyl propylamine and 3, 3-diphenyl propylamine to Gd-DOTABA. The two novel Gd-DOTA-based contrast agents remarkably improve the chemical inertness of the complex, the dissociation half-life period of the complex in a 1 M HCl solution at 37 DEG C is about 5 times that of Gd-DOTA, and a powerful guarantee is provided for clinical safety; the MRI (Magnetic Resonance Imaging) performance of the liver in a mouse shows that Gd-L1 is equivalent to commercially available Gd-BOPTA and is suitable for imaging of a liver and gall system; after the Gd-L2 is combined with the human serum albumin, the longitudinal relaxation rate is obviously increased (r1 = 14.8 mM <-1 > s <-1 >, 1.4 T, 37 DEG C), the blood elimination half-life period in a rabbit model is about 18 minutes, and the Gd-L2 is suitable for vascular MRI (Magnetic Resonance Imaging). The two contrast agents avoid the spleen residual problem, the organ accumulation possibility is reduced, and a safer and more efficient MRI diagnostic tool is provided for clinic.

The invention relates to the field of disease prediction, in particular to a cognitive impairment prediction system based on synchronously acquired electroencephalogram-stomach electrical signals, comprising: a data acquisition module for acquiring data including electroencephalogram data and stomach and intestine electrical data; the first analysis module is used for obtaining an average electrode inconsistency index of the first channel and the second channel based on a first model according to the time sequence data; and the prediction module is used for comparing the average electrode inconsistency index of the subject with a preset evaluation threshold value so as to predict a cognitive impairment patient. The system provided by the invention can more accurately and efficiently distinguish patients with mild cognitive impairment from healthy people, and can be used as an auxiliary diagnosis tool to be applied to primary screening of mild cognitive impairment on relatively large people (such as communities and physical examination centers).

The invention relates to the technical field of biology, in particular to a ROR1 antibody as well as a preparation method and application thereof. The ROR1 antibody provided by the invention can be highly specifically combined with an antigen, and has rapid and efficient internalization ability. Besides, the anti-ROR1 antibody provided by the invention has high selectivity and high biological activity, not only can be used as an anti-tumor drug or an antibody coupling drug, but also can be used as a diagnostic tool to detect ROR expression in ROR related diseases.

The invention relates to the technical field of compressor unit data safety management, in particular to a data safety management method and system for compressor unit operation state diagnosis, and the method comprises the following steps: collecting compressor unit sensor data in real time, and processing basic, sensitive and core three-level authority data at edge equipment; after receiving a cloud diagnosis request, dynamically opening a corresponding data channel and calling data; the cloud monitors the access behavior of the diagnostic tool and fuses unauthorized access in real time; and recording channel opening and tool operation logs, and associating real-time alarm events of the unit. Physical operation characteristics and safety logic are fused, edge preprocessing-cloud dynamic authorization-state linkage fusing-closed-loop optimization full-chain protection is achieved, fusing timeliness is guaranteed, sensitive data exposure is reduced through on-demand uploading, key characteristics are retained based on rotor dynamic characteristic desensitization, diagnosis accuracy is ensured, and the method has the advantages of being high in safety and high in reliability. And the high-priority diagnosis transmission delay is reduced through linkage of the bandwidth and the risk coefficient.

The application belongs to the technical field of biological detection, and particularly relates to a monoclonal antibody combination for detecting cat NGAL protein and application thereof. The monoclonal antibody combination of the application comprises monoclonal antibodies 1E2 and 2D6. The two antibodies have unique heavy chain and light chain variable region complementarity determining regions, and the amino acid sequences thereof have been defined in detail (SEQ ID NO. 1-12). The antibody combination can specifically recognize and efficiently bind to cat NGAL protein, and is suitable for developing a diagnostic tool with high sensitivity and high specificity. By constructing a double-antibody sandwich ELISA detection system, the minimum detection limit can reach 1 ng / mL, and good specificity and stability are shown.

Disclosed herein is a method for diagnosing a medical condition in a patient. The method comprises: obtaining, from the patient, a plurality of physiological values; implementing a first model configured to determine risk values for at least one of a plurality of medical conditions, based on the physiological values. Implementing the first model comprises: obtaining a first risk value for the at least one medical condition, based on a first one of the obtained physiological values; and weighting the first risk value based on a second one of the obtained physiological values, to determine a total risk value of the at least one medical condition for the patient.

The invention discloses a signature verification method and device, equipment and a storage medium, and relates to the technical field of vehicle software upgrading. The method is executed by a vehicle ECU (Electronic Control Unit) and comprises the following steps of: splitting signature information, a public key index and a public key modulus under the condition of receiving a data packet sent by a vehicle diagnostic instrument; the data packet contains signature information; the split signature information and the split public key index are converted to a Montgomery domain; performing accumulation calculation on the split signature information in the Montgomery form and the split public key index in the Montgomery form through an accumulator to obtain an intermediate calculation item; through Montgomery reduction, based on the intermediate calculation item and the split public key modulus, obtaining a hash value for analyzing the data packet; and under the condition that the hash value of the data packet is consistent with the hash value for analyzing the data packet, judging that the signature information is successfully verified. According to the application, verification of the signature can be realized under the condition that the computing power of the vehicle ECU and the RAM space are limited.

Disclosed in the present invention is a physician-interpretable ultrasound-based breast cancer pathological subtype detection system, comprising: a segmentation module, which uses a U-Net network and incorporates a foreground optimization network to segment a breast and a nodule; a texture channel, which extracts a texture channel feature; an edge channel, which extracts boundary information; a position channel, which extracts position information, so as to quantize the overall relationship between the nodule and the boundary information of the breast to extract a breast nodule growth position feature; a shape channel, which calculates an edge aspect ratio on the basis of a segmented nodule region, so as to obtain a predicted interval value as a shape channel feature; an echo channel, which calculates the echo difference between the interior and exterior of the nodule to serve as an echo channel feature value; and a joint prediction module, which uses a multinomial logistic regression model to classify and predict breast cancer pathological subtypes on the basis of output features of the texture channel, the edge channel, the echo channel, the shape channel and the position channel. An artificial intelligence diagnosis tool that is interpretable to physicians is built, thereby providing an automated theoretical basis for clinical diagnosis and decision-making.

The utility model relates to the technical field of medical diagnostic tools, in particular to a medical stethoscope, a stethoscope head is provided with a stethoscope end face, the stethoscope end face is used for abutting against and being attached to the skin surface of a human body, a marking inner shell is in sliding fit with the outer side wall of the stethoscope head, and the bottom end of the marking inner shell is coated with medical dye. The marking inner shell is in sliding fit with the inner wall of the shielding outer shell, the multiple connecting pieces are connected between the shielding outer shell and the auscultation head, and the elastic piece is configured to drive the marking inner shell to have the trend of moving towards the position away from the auscultation head all the time, so that the bottom end of the marking inner shell does not exceed the auscultation end face. In the auscultation process, when auscultation marking is needed, a doctor presses the marking inner shell to overcome the elastic force of the elastic pieces, so that the bottom end of the marking inner shell coated with medical dye extends out of the auscultation end face and makes contact with the skin surface to complete marking, and the convenience of auscultation marking is effectively improved; and the accuracy and repeatability of auscultation diagnosis are further improved.

The invention relates to the technical field of nano antibodies, in particular to an anti-FcRH5 nano antibody and application thereof. The invention provides an anti-FcRH5 nano antibody with high affinity and specificity, and the anti-FcRH5 nano antibody is based on a single-domain heavy chain variable region structure from camelidae and has the advantages of small molecular weight, high stability, strong tissue penetrability, easiness in engineering modification and the like. The nano antibody specifically recognizes and is combined with a high-expression and stable-expression target spot on the surface of a multiple myeloma cell through a complementary determining region of the nano antibody. The nano antibody disclosed by the invention can be used as a core recognition element for constructing various treatment or diagnosis tools such as chimeric antigen receptor T cells, bispecific antibodies, antibody drug conjugates or immunodetection probes and the like. According to the technical scheme, the technical problem that an anti-FcRH5 antibody with high quality and definite functionality is lacked in the prior art can be solved. The nano antibody provided by the invention has remarkable clinical transformation and industrialization advantages, and promotes multiple myeloma treatment to multi-target collaborative iteration.

This invention discloses a combination of biomarkers for the auxiliary diagnosis of chronic pain comorbid with depression and its application, belonging to the fields of in vitro diagnostics (IVD) and clinical testing technology. The biomarker combination includes interleukin-6 (IL-6), interleukin-12 (IL-12), and the concentration ratio of kynurenic acid to 3-hydroxykynurenine (KYNA / 3-HK). This invention also discloses the application of this biomarker combination in an in vitro diagnostic kit for chronic pain comorbid with depression. Experimental results show that the diagnostic efficacy of this biomarker combination (AUC=0.871) is significantly better than that of a single biomarker, effectively distinguishing patients with chronic pain comorbid with depression from those without chronic pain, providing an objective auxiliary diagnostic tool for clinical practice.

This invention relates to the field of depression monitoring and intervention technology, and discloses a depression monitoring and intervention system based on an internet hospital and heart rate variability (HRV). The system includes: a multimodal physiological signal acquisition module for simultaneously acquiring raw HRV signals, skin conductance fluctuations, and respiratory rate data; a signal processing module for preprocessing and feature extraction of the raw signals to obtain multidimensional feature vectors; and a depression level inference module that constructs a multilayer perceptron neural network, taking as input the multidimensional feature vector containing multidimensional HRV features, skin conductance fluctuations, and respiratory rate statistics, and outputting probability values ​​for no depression, mild depression, and moderate to severe depression levels. This invention establishes an intelligent management mechanism for internet hospitals for the first time, collecting multidimensional physiological data of patients with depression in real time through wearable monitoring units. Based on the dynamic trends of physiological data characteristics, it can serve as an auxiliary diagnostic tool for psychiatry, especially suitable for early screening and remote follow-up of depression, reducing the consumption of medical resources.

A method of identifying error patterns during automated device testing comprises receiving a data pattern from a plurality of capture modules programmed on a programmable logic device, wherein the plurality of capture modules are programmable and operable to selectively capture data traffic to be monitored, and wherein the data traffic comprises a flow of traffic between a DUT and the programmable logic device. The method further comprises comparing the data pattern with known signatures in an error signature database. Also, the method comprises correlating the data pattern with one or more matching known signatures in the error signature database and assigning a score to each of the one or more matching known signatures in the error signature database based a level of correlation.

- Method and device for determining and using a diagnostic tool comprising a temperature aging spectrum. - The method (P) comprises a step (E1) for receiving at least one temperature curve relating to a given geographical location, a processing step (E2) comprising a series of successive substeps (E2A, E2B, E2C, E2D, E2E), implemented iteratively for different values ​​of a characteristic time associated with a type of material, comprising a substep (E2A) for filtering the temperature curve using a first-order filter having said characteristic time as its time constant, a substep (E2B) for applying an aging law, a substep (E2C) for performing an accumulation over a given sliding period, a substep (E2D) for extracting a value corresponding to an aging criterion, and a substep (E2E) for associating this extracted value with the characteristic time.The pairs of values ​​obtained at the end of the iterations allow the formation of a temperature aging spectrum, and a step (E3) to perform comparisons, at least from this spectrum, to carry out a diagnosis. Figure for the abstract: Fig. 4.

The invention relates to an application of a nano antibody for blocking RSPO1-LGR4 effect in preparation of a medicine for treating cardiovascular diseases, the nano antibody is an NB21 nano antibody, and the NB21 nano antibody has an amino acid sequence as shown in SEQ ID No.12. The invention also relates to an application of the nano antibody for blocking RSPO1-LGR4 effect in preparation of a medicine for treating cardiovascular diseases. The antibody can specifically block a Wnt / beta-catenin pathway, effectively inhibit expression of proinflammatory factors and relieve inflammatory response of heart tissues, so that occurrence and development of cardiovascular diseases are intervened. The nano antibody has significant advantages in the aspects of intervention accuracy, conversion reliability and the like, and preclinical results show that the nano antibody can improve occurrence and development of ischemic cardiomyopathy; the pharmaceutical composition can be used for treating heart failure, myocarditis and adriamycin cardiomyopathy, can be expanded to systemic inflammatory diseases, realizes the trans-boundary application of one drug with multiple targets, fully verifies the anti-inflammatory effectiveness and safety through in-vivo and in-vitro experimental data, provides new targets, diagnostic tools and accurate intervention schemes for diagnosis and treatment of cardiovascular diseases and systemic inflammatory diseases, and has wide application prospects. The obvious scientific innovation significance and clinical transformation value are realized.

The invention belongs to the technical field of biomedicine, and particularly provides a periodontitis related marker which comprises glycochenodeoxycholic acid. The concentration change of the periodontitis related marker provided by the invention is directly related to the pathological mechanism of periodontitis. As bound bile acid, the bile acid is slowly degraded in saliva. And the glycochenodeoxycholic acid in the saliva is synthesized from gingival fibroblasts, so that the influence of systemic inflammatory diseases is greatly eliminated. Glycine chenodeoxycholic acid in saliva is used as a specific biomarker, a non-invasive, high-sensitivity and high-specificity detection method, system and equipment are established, objective quantitative evaluation and dynamic monitoring of periodontitis activity are achieved, the hysteresis limitation of traditional diagnosis is broken through, a convenient and non-invasive accurate diagnosis tool is provided for clinic, and the clinical application prospect is wide. And the technical blank of periodontitis activity noninvasive diagnosis is filled.

The invention relates to a method and a device for determining and using a diagnostic tool comprising a temperature ageing spectrum, the method (P) comprising a step (E1) of receiving at least one temperature curve relating to a given geographical location, a processing step (E2) comprising a sequence of consecutive substeps (E2A, E2B, E2C, E2D, E2E), implemented iteratively for different values of a characteristic time associated with a type of material, comprising a substep (E2A) of filtering the temperature curve using a first-order filter having the characteristic time as the time constant, a substep (E2B) of applying an ageing law, a substep (E2C) of performing a cumulative calculation over a given sliding time period, a substep (E2D) of extracting a value corresponding to an ageing criterion and a substep (E2E) of associating this extracted value with the characteristic time, wherein the pairs of values obtained at the end of the iterations form a temperature ageing spectrum, and a step (E3) of performing, from at least this spectrum, comparisons in order to carry out a diagnosis.

1. Name of the product in this design: Battery Diagnostic Tool. 2. Purpose of this design: Real-time monitoring of battery status and data acquisition to safeguard battery safety. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

1. Name of the designed product: vehicle diagnostic instrument (PT100). 2. Use of the designed product: for vehicle detection. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The present invention discloses a SNP molecular marker associated with the testicle size trait of Hu sheep, its screening method, and application, belonging to the fields of genetic breeding and molecular biology. The marker is located in the intron region of the LRRIQ1 gene on chromosome 3 of Hu sheep and is significantly associated with the testicle size trait of Hu sheep. Through a scientific and rigorous screening method, the accuracy and reliability of the SNP molecular marker are ensured; the marker can quickly and accurately screen out Hu sheep individuals associated with the testicle size trait, improve breeding efficiency and accuracy, accelerate the breeding process, reduce breeding costs, and enhance economic benefits; it helps to protect genetic diversity and improve the accuracy of semen quality evaluation, providing a powerful tool for Hu sheep breeding work and important basic data for studying the genetic mechanism of testicular development and function; it can also be used as an auxiliary diagnostic tool to assist in identifying potential genetic defects or disease risks, promoting the progress and development of breeding technology.

The present invention provides a novel user authentication system based on biometric authentication which involves user confirmation and user identification. The user authentication system is based on human exhaled breath, and executed using principles of machine learning. The user authentication system of the present invention can also be used as a diagnostic tool by the correlation of the turbulence information to the occlusion in the extrathoracic passage, which is a major source of deposition of aerosolized therapeutics. The exhaled breath time series velocity signals based diagnosis can also be used for personalized medication and treatment.

A method for improving waste gas collection efficiency of an arc-shaped top suction gas-collecting hood based on an interface mass-energy ratio comprises the following steps: constructing a physical geometric model of the 1: 1 arc-shaped top suction gas-collecting hood by adopting space claim based on an ANSYS 2024 R1 simulation platform; defining the ratio of turbulent kinetic energy to mass flux on the mass-energy ratio interface as an interface mass-energy ratio; sequentially setting a plurality of groups of comparison working conditions by taking the number of the outlet air pipes, the layout of the outlet air pipes and the size of the outlet air pipes as single variables to finish simulation; exporting result data, and drawing a scatter diagram of the collection efficiency, the vortex volume and the interface mass-energy ratio; and the number, layout and size of the outlet air pipes are optimized according to the result, and the collection efficiency is maximized. According to the method, the limitation of relying on subjective judgment in the traditional empirical design is overcome, so that the performance of the flow field has comparability, and a clear scientific basis and a diagnostic tool are provided for subsequent optimization.

A diagnostic tool includes a sensor for capturing at least one biosignal produced by a patient's heart and a computer device that implements a neural network iteratively trained via machine learning to generate a prediction about a heart condition of the patient. After the neural network is trained, the computer device can convert the at least one biosignal to a multi-dimensional input matrix for the deep neural network generated from a number (N) of biosignals captured by the sensor. The computer device then processes the multi-dimensional input matrix through the deep neural network, which subsequently outputs the prediction about the heart condition of the patient.