97 results about "Diagnostic modalities" patented technology

The invention relates to the technical field of intelligent power grid operation and maintenance, and discloses a power grid node health index assessment method suitable for remote operation and maintenance, and the method comprises the steps: S1, carrying out the fusion collection of multi-source data; s2, dynamic weight self-adaptive distribution is carried out; s3, dynamically correcting the life reference; step S4, layered health index calculation; s5, health state decision making and visualization are carried out; the data weight is automatically adjusted according to the timeliness difference of high and low frequency data through a dynamic weight adaptive distribution mechanism, so that the problem of health score long-term distortion possibly caused by low frequency data updating lag is solved, key parameters can be monitored in real time through a real-time anomaly detection and response mechanism, a parameter overrun early warning threshold value is set, and the early warning accuracy is improved. When the key parameters continuously exceed the limit, an online diagnosis mode is triggered, the data sampling frequency is increased, it is ensured that abnormal conditions can be quickly found and processed, the ability of the system to deal with sudden faults is improved, and the fault risk is reduced.

Apparatuses and methods for recovering solid tissue and dislodged cells (“D-cells”) from a biopsy are disclosed herein. In an embodiment, a biopsy container apparatus for recovering solid tissue and D-cells from a biopsy includes a receiving container and a sieve container. The receiving container has a receiving chamber with an upper opening and a watertight bottom surface. The sieve container is configured to be located at least partially within the receiving chamber and removed from the receiving chamber through the upper opening. The sieve container has a bottom sieve surface including a plurality of apertures configured to pass the D-cells from the biopsy but not the solid tissue from the biopsy into the receiving chamber after the solid tissue and the D-cells from the biopsy are placed into the sieve container.

A system of fibers, filaments, and / or other electrically conductive materials forms an electrically conductive-to-semi-conductive yarn that can be assembled into a textile for measurement of voltage, current, resistance, capacitance, inductance, RF, and / or EM signals. Textiles are formed through weaving, knitting, lacing, and / or non-woven mechanical methods of yarn-making into 2D / 3D structures. Textile-based electrodes can be formed via folding, cutting, layering, sewing, and / or embroidering patterns to control signal transmission within / through the electrode. Multiple electrodes are positioned on a surface (e.g., a body) to sequentially or simultaneously perform multiple diagnostic modalities (e.g., electrocardiography, electromyography, electrooculography, electroencephalogram, bioelectrical impedance analysis, skin impedance analysis, and / or electrodermal activity). These modalities are multiplexed using an optimized electrode set through amplitude and frequency deconvolution and filtering algorithms to minimize the quantity of electrodes and connections on the surface while maximizing signal-to-noise ratio, differential and common mode noise rejection, and elimination of external signals (e.g., RF and EM noise).

The invention relates to an electroencephalogram and voice-based depression auxiliary diagnosis system and a data analysis method thereof, and the auxiliary diagnosis system comprises a data processing module, a detailed diagnosis mode module, a simple diagnosis mode module and a patient information management module. The data processing module comprises a data preprocessing unit and a fixed electroencephalogram feature extraction and visualization unit; the detailed diagnosis mode module is used for carrying out personalized feature extraction and mode recognition on electroencephalogram data by scientific researchers and checking the recognition accuracy rate, a visual graph and an evaluation index statistical table of a selected machine learning model, and the simple diagnosis mode module is used for rapid diagnosis. Comprising a single-mode electroencephalogram data processing unit, a single-mode voice data processing unit and an electroencephalogram voice fusion data processing unit, the simple diagnosis mode module generates a diagnosis result, and the result is in a healthy or depression character form. The result obtained by the auxiliary diagnosis system is objective, meticulous and reliable.

Systems, methods, and apparatuses for implementing a behavioral health engagement platform are described herein. For example, according to one embodiment there is a method performed by a behavioral health engagement platform (“platform”) having at least a processor and memory therein, in which the method includes: receiving a request at the platform from a therapist user device requesting access to the platform; generating, at the platform, a therapist GUI interface based upon the request; receiving therapist user input at the platform via the therapist GUI interface specifying a diagnostic modality for a patient, wherein content is selected by the platform based on the therapist-defined diagnostic modality; transmitting the content to a patient GUI interface for display at a patient user device; receiving patient user input at the platform from the GUI interface displayed to the patient user device, wherein the patient user input specifies one or more of: (i) selection of an avatar, (ii) responses to questions about the patient's compliance with treatment, (iii) responses to questions about the patient's emotional state and triggers before and after (iii) the viewing and rating of the platform-selected content, and (iv) biometric feedback from the patient; modifying the platform-selected content and sequence to be transmitted to the patient user device based upon the patient user input; sending the platform-selected content to the patient GUI interface at the patient user device in accordance with the sequence and modifications determined by the platform; creating alert notifications at the platform; sending the alert notification to the therapist GUI interface; and monitoring and promoting positive behavioral health outcomes. Other related embodiments are disclosed.

The invention discloses a vehicle ECU diagnosis method, system and device and a storage medium, and the method comprises the steps: determining unit information corresponding to each ECU in a plurality of ECUs of a target vehicle, and obtaining a plurality of pieces of unit information; when the diagnosis mode is a batch diagnosis mode, generating a diagnosis task queue according to the multiple pieces of unit information; the multiple ECUs are diagnosed based on a preset diagnosis strategy and the diagnosis task queue, and a first diagnosis result is obtained; when the diagnosis mode is a single diagnosis mode, unit information corresponding to a target ECU is selected from the multiple pieces of unit information, and target unit information is obtained; the target ECU is any one ECU in the plurality of ECUs; and diagnosing the target ECU according to the target unit information to obtain a second diagnosis result. The target vehicle is diagnosed through the two diagnosis modes, and the vehicle ECU diagnosis efficiency can be improved.

The invention provides a TBOX-based vehicle fault diagnosis system, which is characterized in that a TBOX is installed in a vehicle and is used for acquiring vehicle data and judging whether the vehicle has a fault based on the vehicle data, and when the vehicle has the fault, the TBOX enters a diagnosis and maintenance mode, and the diagnosis and maintenance mode comprises a field diagnosis mode and a remote diagnosis mode; the diagnosis end is used for establishing a data communication channel with the TBOX in a diagnosis maintenance mode; and the TBOX is also used for transmitting the vehicle fault data to the diagnosis end through the data communication channel, receiving a vehicle configuration instruction issued by the diagnosis end, and issuing the vehicle configuration instruction to a target ECU unit of the vehicle to realize vehicle fault diagnosis full-link diagnosis operation. According to the scheme, a traditional fault diagnosis instrument is omitted, hardware cost of vehicle service diagnosis is reduced, usability and convenience of vehicle diagnosis are provided, and transmission safety and reliability between the TBOX and a platform or a terminal are guaranteed through a self-developed data transmission protocol.

The invention relates to a full-automatic slit lamp and an intelligent diagnosis method thereof, and aims to improve the ophthalmic examination efficiency and accuracy. The slit lamp is composed of a slit lamp device, an automatic adjusting device and a man-machine interaction device. The automatic adjusting device comprises a calculation module and an adjusting module, and the adjusting module accurately drives the slit lamp device through gear transmission and automatically adjusts operation parameters according to a preset mode. The display module of the man-machine interaction device can display the working mode, the eye image data and the interaction information, and the prompt module guides the examinee to cooperate with the examination. The camera element of the slit lamp device converts the light into image data, and the communication device transmits the data to the cloud. And during fault diagnosis, the calculation element monitors image data in real time, marks abnormities through a visual algorithm, and enters a diagnosis mode. After different modes are operated for multiple times, the calculation unit analyzes imaging result abnormity, accurately locates and displays fault components, realizes automatic fault diagnosis, and reduces maintenance cost.

Apparatuses and methods for recovering solid tissue and dislodged cells (“D-cells”) from a biopsy are disclosed herein. In an embodiment, a biopsy container apparatus for recovering solid tissue and D-cells from a biopsy includes a buffer container, a sieve container and a sample collection container. The buffer container includes a buffer chamber. The sieve container is located least partially within the buffer container and includes a sieve surface configured to pass the D-cells from the biopsy but not the solid tissue from the biopsy into the buffer chamber. The sample collection container is removably attached to the buffer container and includes a reagent chamber.

The invention discloses a chronic obstructive pulmonary disease patient screening system for the respiratory medicine department, particularly relates to the field of computer-aided diagnosis, and is used for solving the technical problems that an existing screening method is low in screening efficiency, low in patient adaptability and difficult to popularize on a large scale in a basic level. According to the system, a standardized patient medical event sequence is constructed by obtaining a target population medical record containing medicine distribution and disease diagnosis codes; identifying a characteristic medication and diagnosis mode before definite diagnosis of the chronic obstructive pulmonary disease based on a sequence pattern mining technology; constructing a medical knowledge graph by using the modes, obtaining a feature embedding vector representing a chronic obstructive pulmonary disease medical trajectory through graph neural network learning, and establishing a high-risk digital portrait; inputting the medical sequence of the person to be screened into a feature extraction model based on same map training, and generating an individualized risk probability prediction value by calculating the matching degree of the medical sequence and the digital portrait; and a screening result report is automatically generated, so that efficient and noninvasive early risk screening is realized.

A gyroscope system includes at least one vibrating structure gyroscope having a structure, one or more drive transducers configured to drive the structure and one or more pick off transducers configured to detect oscillation of the structure. The vibrating structure gyroscope is configured to operate in a sensing mode or a diagnostic mode. The vibrating structure gyroscope being configured, during the sensing mode, to measure an angular rate of rotation of the vibrating structure gyroscope. The system also includes a controller configured to operate the vibrating structure gyroscope in the diagnostic mode such that the one or more drive transducers drive the structure at a frequency other than a resonant frequency of the structure.

Systems and methods include an Information Handling System (IHS) that is adapted to provide diagnostic boot cycles. Once an IHS is powered, a boot sequence is initiated. During or after booting of the IHS, a request is detected for a diagnostic boot cycle by a requestor, such as by the operating system of the IHS. When a diagnostic boot cycle has been requested, an EC (Embedded Controller) of the IHS is booted in a diagnostic mode to perform a diagnostic test on one or more hardware components of the IHS. The results of the diagnostic test are stored to the NVRAM (Non-Volatile Random-Access Memory) that stores the boot code and that is accessible to the requestor of the diagnostic test once the IHS has been rebooted to a non-diagnostic mode.

The invention provides a sensor signal fault diagnosis device and method, and relates to the technical field of sensor diagnosis. The sensor signal fault diagnosis device comprises a signal acquisition module which is used for acquiring target signals, and the target signals at least comprise an output signal of a target temperature sensor, an environment temperature signal and an output signal of a target connector; the diagnosis module is electrically connected with the signal acquisition module, the diagnosis module is used for generating a diagnosis result based on the target signal, and the diagnosis module has a first diagnosis mode and a second diagnosis mode; when the diagnosis module is in the first diagnosis mode, a first diagnosis result can be generated, and the first diagnosis result comprises sensor normality and fault; and when the diagnosis module is in the second diagnosis mode, a second diagnosis result can be generated, and the second diagnosis result comprises normality and fault of the sensor signal transmission line. According to the scheme, automatic diagnosis of sensor signal faults can be achieved, time is saved, and efficiency and customer satisfaction are improved.

The invention relates to the technical field of multi-source medical data integration, in particular to an integration method and system for integrating multi-source medical data sets. Comprising the following steps: S1, collecting multi-source medical data into an LIMS system, and associating the multi-source medical data according to a patient identifier; s2, extracting historical patient diagnosis symptoms according to the patient identifier to establish a patient symptom model, inputting associated medical data after association according to the historical patient diagnosis symptoms, and outputting a symptom related report through the patient symptom model; the medical knowledge graph is extracted from the multi-source medical data, accuracy analysis is carried out on disease related reports, correction is carried out according to different types of disease related reports, the accuracy of diagnosis reports is greatly improved, then the corrected reports are integrated into a disease diagnosis model, training and optimization are carried out through a machine learning algorithm, and the accuracy of the diagnosis reports is improved. The model can learn a large amount of medical knowledge and diagnosis modes.

Apparatuses and methods for recovering solid tissue and dislodged cells (“D-cells”) from a biopsy are disclosed herein. In an embodiment, a biopsy container apparatus includes a sample collection container, a basket sieve, and a buffer container. The sample collection container includes a reagent chamber. The basket sieve is configured for removable attachment at least partially within the sample collection container and includes a sieve surface configured to pass the D-cells from the biopsy but not the solid tissue from the biopsy. The buffer container is configured for removable attachment to the sample collection container and includes a buffer chamber.

Method for predicting a heating effect of an imaging sequence of a second imaging modality on a detector of a first modality (12) of a combined imaging device (10) as a function of a reference imaging sequence of the second imaging modality, wherein the first modality (12) is designed to acquire diagnostic data of an object of investigation (15) and the second imaging modality comprises a magnetic resonance imaging device (11) designed to acquire magnetic resonance image data of the object of investigation (15), wherein the first modality (12) comprises a temperature compensation unit (59) designed to compensate for a temperature change of the detector, which comprises the following steps: • Performing (S2) a reference imaging sequence with the second imaging modality, wherein in the reference imaging sequence a gradient magnetic field and / or a high-frequency electromagnetic field is applied to the image acquisition area of ​​the combined imaging device (10) and wherein the reference imaging sequence has several imaging parameters that determine a property of the gradient magnetic field and / or the high-frequency electromagnetic field, • Detection (S3) of at least one temperature-dependent parameter of the detector of the first modality (12), • Determining (S4) the heating effect on the detector of the first modality (12) as a function of several imaging parameters of the reference imaging sequence and the at least one temperature-dependent parameter of the detector, and • Prediction (S7) of the heating effect of the imaging sequence on the detector using a smart algorithm, wherein the smart algorithm is designed to predict the heating effect depending on several imaging parameters of the imaging sequence and data acquired by the reference imaging sequence.

The present invention discloses a rolling bearing composite fault diagnosis method based on deep graph convolution, comprising the following steps: first, collecting the vibration signal of the bearing and dividing it into sub-samples; second, forming a graph sample from each sub-sample; finally, extracting the features of the graph using a deep graph convolution (DGCN) model to achieve rapid classification of composite faults. The DGCN model can achieve an end-to-end diagnosis mode, eliminating the complex feature engineering in traditional diagnosis methods. The graph constructed using vertices and edges can provide more information for the training of the diagnosis model. Experimental results show that this method has great advantages in the composite faults of rolling bearings under the same working condition, different working conditions and sample imbalance. In view of the problem that the high correlation between composite faults and single fault samples can easily cause classification errors, this method can effectively avoid the misclassification between single faults and composite faults.

A gyroscope system comprising at least one vibrating structure gyroscope having a structure, one or more drive transducers configured to drive the structure and one or more pick off transducers configured to detect oscillation of the structure, the vibrating structure gyroscope being configured to operate in a sensing mode or a diagnostic mode, the vibrating structure gyroscope being configured, during the sensing mode, to measure an angular rate of rotation of the vibrating structure gyroscope; and a controller configured to operate the vibrating structure gyroscope in the diagnostic mode such that the one or more drive transducers drive the structure at a frequency other than a resonant frequency of the structure.

An apparatus and method for optical skin treatment procedures and in-treatment monitoring thereof. The apparatus is operable in two modes: a treatment mode for delivery of treatment light to an area of a patient's skin abutted to a light guide of the apparatus; and a diagnostic mode for acquiring one or more images of the abutted area of skin. Switching between the two modes may be made in a short time, facilitating monitoring during treatment. In exemplary embodiments, the apparatus sends image data to an analyzer, which analyzes images and computes an optimal treatment course, at least optimal parameters (intensity, pulse width, repetition rate) for the next delivery, and sends the optimal treatment course to the controller for implementation by the apparatus in real time.

Apparatuses and methods for recovering solid tissue and dislodged cells ("D-cells") from a biopsy are disclosed herein. In an embodiment, a biopsy container apparatus for recovering solid tissue and D-cells from a biopsy includes a receiving container and a sieve container. The receiving container has a receiving chamber with an upper opening and a watertight bottom surface. The sieve container is configured to be located at least partially within the receiving chamber and removed from the receiving chamber through the upper opening. The sieve container has a bottom sieve surface including a plurality of apertures configured to pass the D-cells from the biopsy but not the solid tissue from the biopsy into the receiving chamber after the solid tissue and the D-cells from the biopsy are placed into the sieve container.

The home appliance of the present invention controls the operation of a plurality of loads based on diagnostic control information when a command to execute a first diagnostic mode is selected through an input unit, controls a communication unit to transmit control information of the plurality of loads and detection information detected by at least one sensor to a server while the first diagnostic mode is executed, and controls an output unit to output diagnostic result information received from the server. A home appliance according to one aspect controls a communication unit to transmit control information of at least one load and detection information detected by at least one sensor to a server when a command to execute a second diagnostic mode is received through an input unit while at least one of the plurality of loads is operating.

The invention relates to the field of charging cable detection, and discloses a DP-DN wire for checking the internal resistance of a wire rod, which comprises an intelligent control module arranged in a charging adapter and an intelligent management module arranged in electronic equipment. The two modules communicate and negotiate through a data wire core to determine a basic internal resistance test mode or an advanced diagnosis mode. In the basic mode, DC resistance measurement is cooperatively performed. In the advanced diagnosis mode, the intelligent control module injects an alternating current detection signal and collects an adapter end phasor; the intelligent management module collects the phasor of the electronic equipment end and transmits the phasor back through the load modulation unit. A central control unit of the intelligent control module calculates complex impedance according to phasors at the two ends, compares a real-time impedance spectrum with a fault feature library through a diagnosis and matching engine, and determines a state identifier. And the self-adaptive charging strategy controller adjusts charging parameters accordingly. According to the invention, the cable state can be accurately diagnosed, and self-adaptive safe charging is realized.

Systems and methods include an Information Handling System (IHS) that is adapted to provide diagnostic boot cycles. Once an IHS is powered, a boot sequence is initiated. During or after booting of the IHS, a request is detected for a diagnostic boot cycle by a requestor, such as by the operating system of the IHS. When a diagnostic boot cycle has been requested, an EC (Embedded Controller) of the IHS is booted in a diagnostic mode to perform a diagnostic test on one or more hardware components of the IHS. The results of the diagnostic test are stored to the NVRAM (Non-Volatile Random-Access Memory) that stores the boot code and that is accessible to the requestor of the diagnostic test once the IHS has been rebooted to a non-diagnostic mode.

The present disclosure provides a method of facilitating AI-driven refinement of mental health diagnostics and personalized treatment. The method may include transmitting a prompt data to a user device. Further, the method may include receiving a mental health data from the user device based on the prompt data. Further, the mental health data may be associated with a user. Further, the method may include identifying a demography data based on the mental health data. Further, the method may include determining a diagnostic schema data to provide diagnostic insights based on the demography data. Further, the method may include generating a pre-diagnosis and / or diagnosis report data to provide personalized insights based on the diagnostic schema data and the mental health data. Further, the method may include transmitting the pre-diagnosis and / or diagnosis report data to the user device.

A method is for determining a heating effect of an imaging sequence of a second imaging modality on a detector of a first modality of a combined imaging device in dependence of a reference imaging sequence of the second imaging modality. A further method is for compensating a heating effect of an imaging sequence of a second imaging modality on a detector of a first modality of a combined imaging device. Furthermore, a combined imaging device includes a magnetic resonance imaging device and a first modality including a detector and a temperature compensation unit configured to compensate for a temperature variation of the detector. The combined imaging device is configured to perform a method for determining a heating effect of an imaging sequence of the magnetic resonance imaging device on the detector of the first modality in dependence of a reference imaging sequence of the magnetic resonance imaging device.

A device comprises a scan chain and a device circuit. The scan chain includes a plurality of sequential elements and a diagnostic hardware circuit. The sequential elements are connected serially and grouped into a plurality of segments. The diagnostic hardware circuit includes a plurality of circuit components, each connected to a sequential element of a respective segment. The diagnostic hardware circuit identifies a faulty segment of the scan chain during a diagnostic mode. Test pattern data is serially shifted through the scan chain to isolate the faulty sequential element of the defective segment during the diagnostic mode. The device circuit is connected to the scan chain, performs one or more circuit functions, and generates functional data that is sequentially shifted through the scan chain during a functional mode.

The present disclosure relates to a DNA methylation markers combination for bladder cancer risk stratification, which includes methylation regions as denoted by any one or more of SEQ ID NOS:1-22 or any one or more of complementary sequences thereof. The present disclosure further provides a clinical application of the three-class stratification mode before operation based on the selected appropriate molecular marker combinations, to promote the rational use of current diagnosis and treatment methods, consequently patients with negative BC can avoid excessive invasive cystoscopy, while HR-NMIBC or MIBC can expedite diagnosis and surgical operations, and the definite LMR-NMIBC patients can follow standard diagnostic modalities.

A circuitry for processing an analyte signal obtained from an electrochemical cell comprising a first electrode and a second electrode, comprises: a drive circuitry comprising a drive amplifier configured to apply a stimulus to the first electrode; a measurement circuitry comprising a measurement amplifier configured to measure a response at the second electrode of the electrochemical cell to the stimulus; an analog-to-digital converter (ADC) configured to output a digital output in dependence on the measured response; and a control circuitry operable to transition the circuitry between a measurement mode and a diagnostic mode, wherein: in the measurement mode, the measurement circuitry is configured with a first bandwidth for measuring an analyte at the second electrode of the cell; and in a diagnostic mode the measurement circuitry is configured with a second bandwidth for measuring an impedance of the second electrode of the cell, wherein the second bandwidth is greater than the first bandwidth.

Apparatuses and methods for recovering solid tissue and dislodged cells (“D-cells”) from a biopsy are disclosed herein. In an embodiment, a biopsy container apparatus includes a sample collection container, a basket sieve, and a buffer container. The sample collection container includes a reagent chamber. The basket sieve is configured for removable attachment at least partially within the sample collection container and includes a sieve surface configured to pass the D-cells from the biopsy but not the solid tissue from the biopsy. The buffer container is configured for removable attachment to the sample collection container and includes a buffer chamber.

Device (100) for extracorporeal blood treatment, comprising: - an electroacoustic transducer (8) and - a control unit (1) which is designed to control the electroacoustic sound transducer (8) during an output mode to output an acoustic signal, - wherein the control unit (1) is designed to evaluate a diagnostic signal (5) for diagnosing the device (100) for extracorporeal blood treatment during a diagnostic operating mode, wherein the diagnostic signal (5) is dependent on a signal (11) generated by means of the electroacoustic sound transducer (8).