250 results about "Diagnostic test" patented technology

The invention discloses a permanent magnet motor demagnetization fault diagnosis method based on deep learning, and relates to the technical field of permanent magnet motor fault diagnosis, and the method comprises the steps: collecting the operation state data of a permanent magnet synchronous motor and a fan in real time through a sensor network, and generating a basic variable; multi-modal features in the basic variables are extracted, a health index sequence is constructed, and a demagnetization risk score is generated; setting a self-adaptive diagnosis opportunity control strategy, and determining the opportunity of next diagnosis detection according to the current demagnetization risk score; establishing a demagnetization risk prediction model, predicting a demagnetization risk score at the next diagnosis time, generating a dynamic risk threshold value, and judging whether a demagnetization early warning decision is triggered or not; allocating a maintenance task priority according to the current demagnetization risk score and the historical mode; comprehensively calculating the overall health index of the fan system, and predicting the residual life of the fan permanent magnet motor. According to the method, the problem of resource waste caused by unreasonable diagnosis time in the demagnetization fault diagnosis of the permanent magnet motor is solved.

A diagnostic test device to perform a test on a biological or environmental sample is provided. In one aspect, the diagnostic test device includes a chamber configured to receive a fluid from a sample preparation reservoir at a first section of the chamber, and a plurality of spaced apart valleys along an inner surface of the at least one chamber. Each of the plurality of spaced apart valleys include a curved cross-section and is configured to promote flow of the fluid toward a second section of the at least one chamber.

Disclosed herein are systems, methods, and devices for an image-based, computer vision approach for anthropometric measurement of a user using an automatically generated three-dimensional model of the user. Also disclosed herein are systems, methods, and devices associated with a telehealth proctoring platform that can be used to remotely proctor, monitor, and manage patients over the course of a medical treatment plan. The telehealth proctoring platform may be used to collect and retrieve various kinds of data associated with a patient, such as at-home diagnostic test data, the anthropometric measurements of the patient, or the generated three-dimensional models in order to remotely monitor and track changes to the body of a patient over time and make dynamic adjustments to the patient's medical treatment plan.

A method for analyzing a sample includes introducing the sample into a vessel including a cation-exchange resin, where the cation-exchange resin has a high affinity to one or more interferent species in the sample, directing the sample through the cation-exchange resin to thereby capture one or more interference species in the cation-exchange resin to purify the sample, and releasing the purified sample from the vessel. Additionally, a method for analyzing a sample includes receiving an image depicting a diagnostic test region and a color reference chart, converting a test region image portion of the image to an analytical color space, determining first and second coordinate values characterizing the test region image portion in the analytical color space, and providing a quantitative measurement of an analyte of interest in the sample based on the first and / or second coordinate values and a predictive formula based on the color reference chart.

Systems and methods include an Information Handling System (IHS) that is adapted to support context-based diagnostics. The IHS may be adapted to determine when a supported diagnostic test has been requested. In response to detecting a request, an operating context of the IHS is determined, such as power status, thermal status and / or status of a user of the IHS. Based on the current operating context of the IHS, the requested diagnostic test is configured to be performed during operation of one or both of a diagnostic boot mode of the IHS and a host operating system of the IHS.

A method for analyzing a sample includes introducing the sample into a vessel including a cation-exchange resin, where the cation-exchange resin has a high affinity to one or more interferent species in the sample, directing the sample through the cation-exchange resin to thereby capture one or more interference species in the cation-exchange resin to purify the sample, and releasing the purified sample from the vessel. Additionally, a method for analyzing a sample includes receiving an image depicting a diagnostic test region and a color reference chart, converting a test region image portion of the image to an analytical color space, determining first and second coordinate values characterizing the test region image portion in the analytical color space, and providing a quantitative measurement of an analyte of interest in the sample based on the first and / or second coordinate values and a predictive formula based on the color reference chart.

The invention provides a vehicle electric control fault cloud automatic diagnosis system and method. The vehicle electric control fault cloud automatic diagnosis system comprises a user service end, a management end, a cloud diagnosis engine module, a vehicle intelligent network connection terminal, a vehicle condition verification module and a data security and user authority management module. Comprising the following steps: S1, inputting corresponding information in a user server interface; s2, performing a diagnosis test on the to-be-diagnosed vehicle and obtaining a diagnosis test conclusion; s3, configuring and managing the diagnosis related data; s4, performing data security and user authority management; according to the method, the fault diagnosis process is highly automatic, accurate diagnosis can be provided based on the specific fault phenomenon of the vehicle, the method does not completely depend on the personal ability of technicians any more, the dependence on high-skill technicians is reduced, and the problem of shortage of industrial technicians is relieved; the accuracy and one-time repair rate of fault diagnosis are improved, and the repair cost is reduced.

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.

An interactive platform, system and method for assisting with medical decision-making is presented herein. The system and method includes receiving diagnostic data, which is defined to include, for each of a plurality of diagnostic tests for a disease, a test sensitivity, a test specificity, and a test outcome. Using a diagnostic module, a posterior probability of the disease is determined based at least upon a prior probability of the disease and the diagnostic data. The system and method further includes receiving treatment data, which includes a patient preference for a cure, a patient aversion for a cure without harm, and a patient aversion for a cure with harm. Using the treatment data, a net benefit output is generated for each of a plurality of treatment options, the net benefit being used to provide assistance with the medical decision-making. For more accurate and applicable data, a synthetic dataset may be generated.

A diagnostic test device to perform a test on a biological or environmental sample is provided. In one aspect, the diagnostic test device includes a chamber configured to receive a fluid from a sample preparation reservoir at a first section of the chamber, and one or more capillary grooves along an inner surface of the chamber. The capillary grooves are configured to promote flow of the fluid toward a second section of the chamber. Embodiments of the diagnostic test reservoir can increase an amount of sample available to an assay reaction, which in one example embodiment occurs within a volume of fluid in the second section of the chamber.

According to an aspect, there is provided a method for guiding a user in diagnostic test selection. Initially, one or more diagnostic reports on each of a plurality of computing devices are maintained in a diagnostic report database. In response to receiving a first set of one or more device parameters characterizing a second computing device from a first computing device, a remote computing system compares the first set to a plurality of sets of device parameters maintained in the diagnostic report database to find one or more relevant diagnostic reports. The remote computing system predicts results of one or more diagnostic tests when performed on the second computing device based on results of one or more diagnostic tests in the one or more relevant diagnostic reports by using statistical analysis. The remote computing system sends results of the predicting to the first computing device.

The utility model relates to the field of medical diagnosis, and discloses a medical antibody diagnosis detection kit which comprises a kit body, a protective structure is sleeved on the outer side wall of the kit body, a plurality of shock absorbers are arranged on the lower end face of the kit body in a rectangular manner, a placing platform is arranged in the center of the lower inner wall of the kit body, a cavity is arranged in the center of the interior of the placing platform, and the shock absorbers are arranged in the cavity. A movable extending structure is arranged in the cavity, and a clamping structure is arranged on the upper end face of the containing platform and the upper end face of the movable extending structure. According to the utility model, the combination of the buffer layer, the elastic layer and the plurality of springs is adopted, so that external impact and vibration are effectively absorbed, the influence of external impact on internal reagents is effectively reduced, the internal reagents are protected from being damaged, the service life of the kit is prolonged, and the position adjustment of the extension block is realized through the sliding of the sliding block plate in the sliding chute; the space utilization rate and the equipment compactness are improved, and the flexibility and the applicability of the medical antibody diagnosis and detection kit are enhanced.

Method, system, apparatus, and computer-readable media for reporting an automated medical opinion, including receiving, via a user interface, patient medical history, diagnostic tests, and current symptoms for a user; identifying, as automated output from a trained model, a diagnostic assessment including one or more of a medical diagnosis, a recommended medical treatment, or an recommended diagnostic medical test based on the patient medical history, diagnostic tests, and current symptoms received via the user interface; sending a report to the user based on the diagnostic assessment; receiving, via a feedback loop, feedback for the diagnostic assessment reported to the user; and updating the trained model based on the feedback.

An illustrative cochlear trauma management system determines, intraoperatively during an insertion procedure to introduce an electrode lead of a cochlear implant system into a cochlea of a recipient, an electrical potential evoked in response to acoustic stimulation applied to the recipient as part of a diagnostic test. The system estimates a depth of the electrode lead within the cochlea for the diagnostic test and accesses recipient attribute data that represents a hearing attribute of the recipient. The recipient attribute data is generated based on preoperative analysis of the recipient. Based on the electrical potential and the recipient attribute data, the system intraoperatively determines a likelihood that the electrode lead is inflicting trauma on the cochlea at the estimated depth. The system then performs an action based on the likelihood that the electrode lead is inflicting the trauma on the cochlea. Corresponding systems and methods are also disclosed.

The present application is generally directed to systems, methods, and devices for diagnostics for sensing and / or identifying pathogens, genomic materials, proteins, and / or other small molecules or biomarkers. In some implementations, a small footprint low cost device provides rapid and robust sensing and identification. Such a device may utilize microfluidics, biochemistry, and electronics to detect one or more targets at once in the field and closer to or at the point of care. In some implementations, the systems and methods herein implement a reader device, an assay cartridge, and a mobile or external device configured to receive abiological sample, test the biological sample, and provide test results to a patient or user associated with the patient. The test results may be packaged with additional information, including symptoms suffered by the patient, a diagnosis, and follow-up instructions. In some embodiments, the test results may also be provided with or aggregated with other test results to generate aggregate information.

Disclosed herein are systems, methods, and devices for an image-based, computer vision approach for anthropometric measurement of a user using an automatically generated three-dimensional model of the user. Also disclosed herein are systems, methods, and devices associated with a telehealth proctoring platform that can be used to remotely proctor, monitor, and manage patients over the course of a medical treatment plan. The telehealth proctoring platform may be used to collect and retrieve various kinds of data associated with a patient, such as at-home diagnostic test data, the anthropometric measurements of the patient, or the generated three-dimensional models in order to remotely monitor and track changes to the body of a patient over time and make dynamic adjustments to the patient's medical treatment plan.

A digital healthcare ecosystem to transform patient care with real-time queue management, including: an appointment and laboratory test booking module configured to allow patients to easily book and schedule doctor consultations and diagnostic tests; a healthcare provider module configured to manage appointments, patient records, billing, internal laboratory and pharmacy integration, and operational analytics, with the healthcare provider module configured to manage dashboard features for physicians, hospital administrators, and laboratory technicians to monitor and update patient status; a real-time queue management module coupled to the healthcare provider module and the appointment and laboratory test booking module, wherein the real-time queue management module is configured to assign a digital token number to patients upon booking once accepted by the healthcare provider module, wherein the real-time queue management module is configured to update the queue position of patients using time-stamped data; a patient interface configured to allow patients to view real-time queue updates, book appointments, and access lab reports using the digital token number; a notification system configured to send notifications to patients and physicians regarding appointment reminders, queue progress, and follow-up instructions; a cloud-based server configured to securely store patient data and enable seamless communication between the patient interface and the healthcare provider module; a display unit configured to show estimated waiting times and notify patients when it is their turn; and a dynamic scheduling module configured to take into account physician availability, patient preferences, and historical data to minimize waiting times and avoid overbooking.

Automated systems and methods are presented for retrospectively analyzing clinical trial data. A plurality of image derived from biological samples of patients in a cohort population are accessed. Image features are computed based on the plurality of images. A diagnostic feature metric is derived based on the computed image features. A cut point value is determined by applying a statistical minimization method using the derived diagnostic feature metric and patient outcome data from the cohort population, in which the cut point value identifies a patient in the cohort population as positive or negative for a diagnostic test.

The invention discloses a fault diagnosis system and method for a regulating valve, and the system comprises a power detection module which is used for obtaining a power parameter of a driving execution mechanism; the valve position feedback module is used for acquiring execution parameters of the execution structure for driving the regulating valve; the instruction acquisition module is used for acquiring a control instruction of a control end and diagnosing a test instruction; the diagnosis test instruction is used for the valve positioner to execute setting operation; the setting module is used for acquiring a diagnosis test instruction and executing setting operation, and acquiring behavior parameters in the setting operation process to generate fault mapping for diagnosis; and the analysis module is used for acquiring response parameters generated by responding to the control instruction during actual operation, and obtaining fault information based on fault mapping comparative analysis.

The invention discloses a diagnosis test method based on computer platform Vspy, and relates to the technical field of computer virtualization, the method comprises the following steps: S1, configuring an enhancement strategy based on a virtual environment isolation mechanism to prevent a transverse diffusion risk in a test process, S2, generating a security rule and dynamically adjusting a virtual environment boundary during operation, and S3, generating a security rule. S3, starting a diagnostic test process and monitoring an operation behavior in the virtual environment in real time; S4, recording a test result and comparing the test result with a preset standard for verification; according to the diagnosis test method based on the computer platform Vspy, the system fault risk caused by security vulnerabilities or configuration problems can be reduced to the greatest extent in a complex test environment of multi-user or multi-process parallel operation, so that the stability and the reliability of the whole system are improved; and a virtual environment isolation mechanism is subjected to enhanced configuration so as to solve the problem of transverse diffusion risk in the test process.

Disclosed embodiments relate to the field of veterinary care and, more specifically, to automated veterinary report generation. In an embodiment, a computing system comprises: a diagnostics test system whereby biological samples are collected from a patient and analyzed, a result interpretation system, an expert database and case lookup system, a veterinary-specific language model, and a large language model. These components work synergistically to provide comprehensive and personalized veterinary reports based on numerical test results.

A biodegradable and mouldable cassette for lateral flow assay device, and a lateral flow assay device comprising said cassette, and a kit comprising such a lateral flow assay device, for in vitro diagnostics of a biological sample comprising a diagnostic test strip inserted into the cassette. The cassette comprises a first cassette part and a second cassette part coupled to each other and defining a test chamber there between containing the diagnostic test strip. The cassette is made of a biodegradable material and at least one of the first cassette part and second cassette part is made of injection mouldable material, in particular gelatin or a gelatin composition.

The present invention provides a nanofiber membrane having dual scale porosity, which is manufactured by a phase separation electrospinning method. The nanofiber membrane is composed of interfibrous pores and surface pores which are interconnected, thereby enhancing air permeability, diffusion rate and filtration performance. The methods employ solvents having different evaporation rates to induce phase separation during electrospinning, resulting in high porosity structures. The nanofiber membranes are suitable for use in air filtration, medical dressings, drug delivery systems, and diagnostic test paper, thereby improving performance characteristics, such as reducing pressure drop, enhancing diffusion, and increasing diagnostic sensitivity. The method enables cost-effective and scalable production while ensuring consistency of fiber morphology.

The invention discloses application of a reagent for detecting an esophageal squamous cell carcinoma marker in preparation of an esophageal squamous cell carcinoma auxiliary diagnosis or diagnosis product, and relates to the technical field of esophageal squamous cell carcinoma diagnosis. The esophageal squamous cell carcinoma marker is selected from at least one of CST1, IBSP, HOXA11, METTL11B, PRDM13, GBX2 and TSBP1. The biomarker provided by the invention has the technical advantages of simple operation, high diagnosis sensitivity and strong specificity in auxiliary diagnosis of esophageal squamous cell carcinoma, and has good diagnosis characteristics. Compared with imaging detection, the diagnostic detection cost provided by the invention is lower, the detection period is short, the esophageal squamous cell carcinoma can be rapidly identified and diagnosed by detecting the biomarker, and the kit is suitable for large-scale clinical diagnosis of the esophageal squamous cell carcinoma in people.

A system for analyzing a physiological sample includes a cartridge configured to attach to the skin of a subject. The cartridge includes: a processing fluid pack that is configured to release a processing fluid stored therein, a diagnostic test strip, and a vacuum pin. The system also includes a lancet with a needle. The lancet is configured to deploy the needle upon engagement with the cartridge to draw a physiological sample from the subject. The vacuum pin is configured to create a vacuum within the cartridge to draw the released processing fluid and the drawn physiological sample to the diagnostic test strip.

Systems and methods are disclosed for facilitating the evaluation of eye health and vision. The system is a mobile system and comprises at least one diagnostic device for performing a vision diagnostic test, the device being a VR headset; a portable computer communicatively coupled to the at least one diagnostic device, the computer having hardware adapted to guide a patient through the test, to compile test data, and to transmit the test data via a data connection; and a server in communication with the computer via the data connection, the server gathering the test data and presenting test data to a physician so that treatment may be provided to the patient. The at least one diagnostic device may include multiple portable, handheld diagnostic devices.

The present invention relates to a non-invasive test for the detection of deep endometriosis. Particularly, although not exclusively, aspects of the present invention relate to one or more glycolysis-associated biomarkers (e.g., phosphoglycerate mutase 1 (PGAM1), Enolase-1 (ENO1), phosphofructokinase-1 (PFKP) and / or Hexokinase) and / or cytokines associated with aerobic glycolysis (e.g., IL-6 and / or TGF-β) which can be used to determine the likelihood of a subject having deep endometriosis based on a sample obtained from the subject.

The invention discloses an automatic diagnosis and test system based on a vehicle body domain controller, and relates to the technical field of vehicle body domain controller diagnosis and test, and the system is composed of a vehicle body domain controller, a controlled equipment monitoring module and a dynamic diagnosis module. The vehicle body domain controller sends a diagnosis command with a timestamp to the controlled equipment through the multiplexing communication interface; the controlled equipment monitoring module is responsible for monitoring response of controlled equipment and generating a state feedback signal containing performance indexes, and the performance indexes cover response delay, execution precision and an energy consumption coefficient; and the dynamic diagnosis module combines the performance indexes with time, constructs a space-time fusion coordinate system, records three-dimensional health track points, and constructs a diagnosis boundary curved surface. By calculating the mahalanobis distance, the system can judge the health state of the controlled equipment and write a result into a block chain evidence storage block for an operator to look up; the system integrates a plurality of technical means, and realizes comprehensive, accurate and real-time diagnosis of controlled equipment.

The subject of the invention is capacitor health diagnosis. A capacitor health diagnostic circuit is provided that is configured to run a diagnostic test to determine a capacity of the at least one snubber capacitor. The diagnostic test includes a multi-stage discharge test performed under varying current conditions to determine a leakage current of the at least one capacitor and determine a capacitance of the at least one capacitor based at least in part on the determined leakage current.

The invention particularly relates to an online fault diagnosis system and method for a pneumatic switch valve. The system comprises an air pressure detection module for acquiring an air pressure parameter P of the pneumatic actuating mechanism; the valve opening detection module is used for acquiring a valve opening parameter ZT; the electric signal acquisition module is used for acquiring an electric signal parameter D of the electromagnetic valve; the control module is used for transmitting a working voltage signal of the master controller and sending a diagnosis test instruction to the test switch; the setting module is used for executing setting operation, generating a diagnosis test instruction and generating a parameter diagnosis basis based on each parameter obtained in the setting operation process; and the analysis module is used for receiving each parameter in the diagnosis operation and obtaining fault detail information of the pneumatic switch valve based on parameter diagnosis basis comparative analysis. The system can comprehensively diagnose the faults of the whole pneumatic switch valve and each component, and meets the safety requirements of advanced intelligent production.