5043 results about "Diagnostic system" patented technology

System and method for providing feedback to drivers. The system monitors selected vehicle parameters while a vehicle is being driven, and detects one or more vehicle operation violations by comparing the selected vehicle parameters to predetermined thresholds. A mentoring message is provided to the driver if the threshold is exceeded. If a vehicle operation violation has not been corrected within a preselected time period, then a violation report may be sent to a third party or a central server and / or a different mentoring message may be provided to the driver. Vehicle parameter data may be monitored from an on-board vehicle diagnostic system. The mentoring message may be an audible warning, such as a spoken message, or a visual warning, such as a text message. The selected vehicle parameters may be a vehicle speed, a vehicle acceleration, or a vehicle seatbelt use.

An X-ray tomosynthesis system as an X-ray diagnostic system is provided. The system comprises an X-ray generator irradiating an X-ray toward a subject, and a planar-type X-ray detector detecting the X-ray passing through the subject and outputting two dimensional imaging signals based on the detected X-ray. The system comprises a supporting / moving mechanism supporting at least one of the X-ray generator and the X-ray detector so that the at least one is moved relatively to the subject. The system also comprises an element setting a ROI position of the subject, an element for obtaining a plurality of three dimensional coordinates of pixels included in the ROI, a calculating element obtaining two dimensional coordinates of data in the two dimensional imaging signals for each of the two dimensional imaging signals detected by the X-ray detector, the data being necessary for obtaining pixel values of the three dimensional coordinates; and an element for obtaining the pixel value of each of the three dimensional coordinates by extracting the corresponding data of the two dimensional coordinates from the detected two dimensional imaging signals and adding the extracting data.

Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

A system for condition monitoring and fault diagnosis includes a data collection function that acquires time histories of selected variables for one or more of the components, a pre-processing function that calculates specified characteristics of the time histories, an analysis function for evaluating the characteristics to produce one or more hypotheses of a condition of the one or more components, and a reasoning function for determining the condition of the one or more components from the one or more hypotheses.

Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

A method for diagnosing a joint condition includes in one embodiment: creating a 3d model of the patient specific bone; registering the patient's bone with the bone model; tracking the motion of the patient specific bone through a range of motion; selecting a database including empirical mathematical descriptions of the motion of a plurality actual bones through ranges of motion; and comparing the motion of the patient specific bone to the database.

Therapeutic and diagnostic systems and methods help an individual with a sleep disordered breathing condition, such as habitual snoring or obstructive sleep apnea (OSA), achieve deep, restorative sleep. The systems and methods include component that serve complementary sensing, monitoring, and corrective or diagnostic functions.

By using monitoring data, feedback data, and pooling of failure data from a plurality of electronic devices, real-time failure prediction and diagnoses of electronic systems operating in a network environment can be achieved. First, the diagnostic system requests data on the state of a machine and / or its components and collections thereof as part of the machine's normal operation. Secondly, real-time processing of the data either at the machine site or elsewhere in the distributed network allows for predicting or diagnosing system failures. Having determined and / or predicted a system failure, a communication to one or more remote observers in the network allows the remote observers to view the diagnostic information and / or required action to repair the failure. Furthermore, interrogation of either the particular electronic system, or a database containing data on similar electronic systems by the diagnostic server allows the diagnostic server to refine original diagnoses based on this population data to achieve a comprehensive failure predication / diagnosing system.

A health diagnostic system capable for monitoring the health condition of computing device on a network is disclosed. According to one aspect of the present invention, a computing device is installed a module that can provoke the monitoring process that periodically samples values representing the health condition of the computing device. The sampled values are then sent back to the monitoring server for analysis. Meanwhile a monitoring server receives the sampled values and performs data analysis to determine if the computing device is in a good / poor condition based on historic data that are further used to predicate what the remaining time is for the computing device to actually break down so that necessary measures may be taken to prevent an actual breakdown.

Systems and methods are disclosed for controlling and diagnosing the health of a motorized system. The systems may comprise a diagnostics system and a controller, wherein the diagnostics system employs a neural network, an expert system, and / or a data fusion component in order to assess the health of the motorized system according to one or more attributes associated therewith. The controller may operate the motorized system in accordance with a setpoint and / or a diagnostics signal from the diagnostics system. Also disclosed are methodologies for controlling and diagnosing the health of a motorized system, comprising operating a motor in the motorized system in a controlled fashion, and diagnosing the health of the motorized system according to a measured attribute associated with the motorized system, wherein the motor may be operated according to a setpoint and / or the diagnostics signal.

Systems and methods for medical diagnosis or risk assessment for a patient are provided. These systems and methods are designed to be employed at the point of care, such as in emergency rooms and operating rooms, or in any situation in which a rapid and accurate result is desired. The systems and methods process patient data, particularly data from point of care diagnostic tests or assays, including immunoassays, electrocardiograms, X-rays and other such tests, and provide an indication of a medical condition or risk or absence thereof. The systems include an instrument for reading or evaluating the test data and software for converting the data into diagnostic or risk assessment information.

Exception event recorders and analysis systems include: vehicle mounted sensors arranged as a vehicle event recorder to capture both discrete and non-discrete data; a discretization facility; a database; and an analysis server all coupled together as a computer network. Motor vehicles with video cameras and onboard diagnostic systems capture data when the vehicle is involved in a crash or other anomaly (an ‘event’). In station where interpretation of non-discrete data is rendered, i.e. a discretization facility, captured data is used as a basis for production of supplemental discrete data to further characterize the event. Such interpreted data is joined to captured data and inserted into a database in a structure which is searchable and which supports logical or mathematical analysis by automated machines. A coupled analysis server is arranged to test stored data for prescribed conditions and upon finding such, to initiate further actions appropriate for the detected condition.

Provided are an envelope processor 103, for obtaining an envelope for a detected signal; a FFT unit 104, for converting the envelope into a frequency spectrum; a peak detector 105, for smoothing the frequency spectrum by calculating a moving average, for further performing smoothing and differentiation for the spectrum, and detecting, as peaks, frequency points at which a sign of a differential coefficient is changed from positive to negative, for extracting peaks having a predetermined threshold value or greater, and for sorting the extracted peaks and detecting upper peaks; and a diagnosis processor T, for diagnosing an abnormality based on the detected peaks.

The present invention provides a novel technique designed to provide a front-end graphical user interface for voice interaction, displaying a list of voice commands that can be used within a control scope of a medical system and that change depending on where the user is in the system. The user is presented with a quick reference guide to available commands without being overwhelmed. “Contextual voice cues” (CVC) provide a non-intrusive dynamic list of available commands to the user which automatically pop-up and change depending on the screen or mode the user is in. An indicator, such as a feedback light, may show whether a voice command is accepted. The technique may be utilized with medical information and diagnostic systems such as picture archival communication systems (PACS), ultrasound modalities, and so forth. Implementation of the technique should increase clinician adoption rates of voice recognition control and thus advance improvements in clinician workflow.

The systems described herein include tools for computer-assisted evaluation of objective characteristics of pathologies. A diagnostic system arranged according to the teachings herein provides computer support for those tasks well suited to objective analysis, along with human decision making where substantial discretion is involved. Collaborative diagnosis may be provided through shared access to data and shared control over a diagnostic tool, such as a telemicroscope, and messaging service for clinicians who may be at remote locations. These aspects of the system, when working in cooperation with one another, may achieve improved diagnostic accuracy or early detection for pathologies such as lymphoma.

The present invention relates to automated devices and methods for the extraction of nucleic acids from cells, the amplification of segments of nucleic acid and the detection of nucleic acids, all in a convenient and portable manner. The invention is particularly suited for use in point-of-care medical diagnostic testing.

A device for acquiring data and diagnosing a musculoskeletal injury. The device includes a semi-flexible housing, at least one ultrasonic transducer, a positional localizer, and a transmission system. The semi-flexible housing is positioned proximate a portion of the musculoskeletal system of a patient and supports the at least one ultrasonic transducer and the positional localizer. The at least one ultrasonic transducer is configured to acquire an ultrasonic data indicative of a bone surface. The positional localizer is positioned at a select location relative to the at least one ultrasonic transducer and tracks movement of the housing. The transmission system transmits the ultrasonic data of the at least one ultrasonic transducer and the movement data of the positional localizer to a data analyzer for analysis and diagnosis.

This medical (human and veterinary) CRM and ERP software affects every step of patient interaction: marketing, sales or service-related. It allows management of the workload by distributing the chores among staff members and automates medical and business processes through workflow rules. It enables users to view and update tasks, medical cases, appointments, sales, phone calls, faxes, emails, letters and automatic input of lab results into the patient's medical record. It also serves the needs of people in human resources; finance and inventory control, and integrates with Microsoft Word, Outlook, Excel, Great Plains and other business systems. It delivers detailed diagnostic differentials associated with a likelihood of their applicability to the given patients' record and physician's experience in his contextual situation; selects the most appropriate diagnostic procedures; offers the possibility for the user to implement context-sensitive tutorials; presents a context-sensitive source of information on diseases and medical procedures.

Systems and methods for performing module-based diagnostics are described. In an exemplary embodiment, sensor values from an actual engine plant are input to an engine component quality estimator which generates performance estimates of major rotating components. Estimated performance differences are generating by comparing the generated performance estimates to a nominal quality engine. The estimated performance differences, which are indicative of component quality, are continuously updated and input to a real-time model of the engine. The model receives operating conditional data and the quality estimates are used to adjust the nominal values in the model to more closely match the model values to the actual plant. Outputs from the engine model are virtual parameters, such as stall margins, specific fuel consumption, and fan / compressor / turbine efficiencies. The virtual parameters are combined with the sensor values from the actual engine plant in a fault detection and isolation classifier to identify abnormal conditions and / or specific fault classes, and output a diagnosis.

Provided are a remote medical-diagnosis system including: a bio-disc or a biochip performing biological, chemical or biochemical reactions with a sample, and having a barcode or a RF IC; a bioanalytical device analyzing results of reactions performed by the bio-disc or the biochip and including a reader reading the barcode or the RF IC to authenticate the bio-disc or the biochip or recording the measured data to the RF IC regardless of a connection with a remote diagnosis server; a virtual doctor as a software in a user's terminal, the virtual doctor providing a user with guidelines and instructions as how to use the bioanalytical device, and providing the user with a consulting service, a diagnosis unit self-analyzing the measured data using mathematical calculations and outputing results of a diagnosis; a user's terminal providing the user with a consulting service from a medical expert or a virtual doctor; a medical expert's terminal providing the user with a consulting service; and a remote diagnosis server connecting the user with the medical expert during periodic medical consultations, connecting the user with the virtual doctor during non-periodic medical consultations, blocking connection between the user and the virtual doctor if a periodic medical consultations term has elapsed; and a method of performing the remote medical-diagnosis.

A system and method are provided for automatically developing and implementing, a comprehensive customized care plan for a patient, to address all of the patient medical and non-medical (e.g., social, quality-of-life, personal) needs, utilizing a wide variety of information: both gathered both personally from a patient by a medical professional and also collected automatically by one or more telemedicine systems. The system and method of the present invention also continually re-assess and dynamically modify the comprehensive care plan, and additionally enable a wide variety of services and benefits to be made available to the patients in a manner automatically customized for their specific needs, with the offered services and benefits being dynamically adjusted as the patient needs change or evolve. In addition, the inventive system provides platform-independent capabilities so that diagnostic systems and devices from various vendors may be freely mixed to provide patients with customized diagnostic monitoring at the lowest possible cost.

A system for empirically diagnosing a condition of a monitored system. Estimates of monitored parameters from a model of the system provide residual values that can be analyzed for failure mode signature recognition. Residual values can also be tested for alert (non-zero) conditions, and patterns of alerts thus generated are analyzed for failure mode signature patterns. The system employs a similarity operator for signature recognition and also for parameter estimation. Failure modes are empirically determined, and precursor data is automatically analyzed to determine differentiable signatures for failure modes.

A radio frequency sensing, control, and particulate matter diagnostics network and system and method and, more specifically, a radio frequency particulate filter diagnostics system comprising a housing including an inlet connected to a source of particulate matter, a particulate filter in the housing and adapted for filtering the particulate matter, and a radio frequency sensor adapted to detect conditions of abnormal particulate filter or system operation and including at least one radio frequency probe configured to be in contact with the housing for the particulate filter housing and adapted to receive radio frequency signals and a radio frequency control unit in communication with the radio frequency probe.

A wireless capsule as a disease diagnosis tool in vivo can be introduced into a biological body by a native and / or artificial open, or endoscope, or an injection. The information obtained from a micro-spectrometer, and / or an imaging system, or a micro-biosensor, all of which are built-in a wireless capsule, can be transmitted to the outside of the biological body for medical diagnoses. In addition, a real-time specimen collection device is integrated with the diagnostic system for the in-depth in vitro analysis

A vehicle software installation, upgrade, and diagnostic system for use in vehicle assembly, upgrade, and repair, includes a portable memory device, such as a USB flash disk. The device receives diagnostic information via an open architecture communications port of a vehicle, such as a USB port. An external processor has a complimentary open architecture communications port and is adapted to receive and analyze the diagnostic information from the portable device. According to various aspects, analysis of the diagnostic information verifies successful installation and testing of vehicle software transferred from the portable device to vehicle processors, identifies software versions resident on the vehicle and related upgrade history for download and installation of an appropriate software upgrade, and / or diagnoses vehicle problems in accordance with sensed vehicle conditions and predetermined fault detection criteria.

A system and method for monitoring the food product and refrigeration system performance of a remote location includes a management center in communication with a remote location through a communication network. The management center receives performance information of the refrigeration system at a remote location. The management center employs software modules to analyze the performance information, diagnose system conditions, and provide alarms for food safety and quality issues, refrigeration system component failure, and indicate maintenance conditions.

Systems and methods of the present disclosure are directed to providing centralized diagnostic services to a plurality of heterogeneous computing environments deployed at different data centers on different networks. In some embodiments, a centralized diagnostic tool establishes a connection to a server of a data center that deploys a computing environment with components. The centralized diagnostic tool validates automatically a component of the computing environment based on a corresponding configuration file received from the server for the component. The centralized diagnostic tool establishes a virtual device simulating a client application executing on a client device. The client application can be configured to communicate with the component. The centralized diagnostic tool automatically initiates a request using a predetermined protocol flow, and the virtual device transmits the request to the component. The virtual device receives a response to the request indicative of a status of the computing environment.

A vehicle monitoring system and method has a vehicle unit which is mounted in each vehicle and a remote monitoring and diagnostic server or system which receives periodic status information in messages from the vehicle units of all active vehicles and displays the data in a user interface on one or more user devices. The vehicle unit is configured to send periodic first messages containing a first, partial set of vehicle operation status information and periodic second messages containing a second, larger set of status information, and may be switched to send second messages at faster time intervals depending on various conditions. The user interface displays at least part of the second set of vehicle information for a selected vehicle while displaying at least part of the first set of vehicle information for at least some active vehicles sending messages to the remote server.

A diagnostic system for collecting, processing, recording and analyzing sounds associated with the physiologic activities of various human organs. The system includes a plurality of transducers placed on the body surface at the operator's discretion. The microphones are coupled to analogue / digital signal processing circuitry for enhancement of the desired signal and exclusion of ambient noise. An A / D converter digitizes the incoming data and transmits data, which is divided into a multitude of discrete blocks, received over very finite intervals of time, to a computer workstation and moved through an analysis program sequentially. The program is displayed as a series of icons which depict operations that the program performs and which allow the operator to reprogram the system at any time. The data is finally displayed in graphical format and stored in memory as the program processes each block sequentially.

An expert diagnostic service system using a distributed architecture for generating expert diagnostic suggestions based on input received from a plurality of diagnostic systems. The expert service system collects data related to effective diagnostic results, such as effective fixes, corresponding to various symptoms / faults from a plurality of diagnostic systems via a data transmission network, and accumulates the number of each effective fix corresponding to each of the various symptoms. The expert service system then assigns at least one effective fix to one of the various symptoms based on a result of the accumulating step, such as the rank of the accumulated number of each fix. The expert service system uses the assigned fix corresponding to a symptom as expert suggestions.