470 results about "Performed Diagnosis" patented technology

A battery system according to the present invention includes: a battery module comprising a plurality of cell groups connected in series, each comprising a plurality of cells connected in series; a plurality of integrated circuits provided to corresponding each cell group of the battery module, that perform detection of terminal voltages of the cells in the corresponding each cell group, and that also perform diagnosis; and a battery controller that, along with issuing commands to the plurality of integrated circuits, also receives results of detection and results of diagnosis by the plurality of integrated circuits; wherein the battery system comprises a writable non-volatile memory, and data is stored in the writable non-volatile memory specifying usage environment of the battery module, including a maximum voltage or a maximum current of the battery module and history data based upon operation history of the battery module.

A lung sound diagnostic system for use in collecting, organizing and analyzing lung sounds associated with the inspiration(s) and expiration(s) of a patient. The system includes a plurality of transducers that may be placed at various sites around the patient's chest. The microphones are coupled to signal processing circuitry and A/D converters which digitize the data and preferably provides the digital data to a computer station. A data collection and organization program, executing on the computer station, organizes and formats the data into a combination display for display or printing. The combinational display includes at least two display elements. In a first display element, the data is shown for both inspiration and expiration combined in a first time scale. In a second display element, the data for inspiration and expiration are shown individually in a second time scale that is time-expanded relative to the first time scale. The system may also include application programs for detecting and classifying abnormal sounds. The resulting information may be displayed in a variety of formats to facilitate diagnosis. Additionally, the system may include an analysis program for comparing selected criteria corresponding to the detected abnormal sounds with predefined thresholds in order to provide a likely diagnosis.

The present invention relates to a rotating patient chair mounted with an integrated ear diagnosis and treatment unit that controls the position of a microscope 48 and a monitor 50 rotating around the rotating patient chair 30 at a predetermined angle or 180 degrees, the unit including: suctioners 44, 52, a treatment board 46, a blood pressure tester 54 and a manipulating switch box 40 for controlling the diagnosis and treatment tools, and the monitor 50 and the microscope 48 positioned in correspondence with the patient's ears anatomically positioned at 180 degrees to enable the patient to observe all of the treatment processes to the ear parts including the thin, dark auditory canals and eardrums on the monitor 50 installed at an opposite side and to enable the practitioner to explain all of the treatment processes shown on the monitor to the patient and his guardians, thereby improving reliability on the practitioner and the treatment processes and maximizing the treatment effects, and performing diagnosis and treatment processes to the patient's ears by not letting the practitioner or patient move around but merely by rotating the ear diagnosis and treatment unit, minimizing discomfort and inconvenience to the practitioner or patient, shortening the medical treatment time and minimizing the space of a treatment room occupied by the diagnosis and treatment unit.

An ultrasound diagnostic apparatus which performs diagnosis of a subject to be examined by using an ultrasound probe which emits ultrasound waves and receives the ultrasound waves reflected by the subject, includes a measuring section which measures a motion velocity of local tissue of the subject by using an ultrasound waves transmitted/received by the ultrasound probe, an acquiring section which acquires motion information representing a strain or displacement of the tissue on the basis of the motion velocity, and a calculating section which calculates a parameter value representing a change amount of motion of the tissue with a change in load on the basis of two pieces of motion information acquired by the acquiring section in two load states in which different loads are applied to the subject.

The invention relates to a design method of an establishing method of a rolling bearing intelligent diagnosis model based on a convolutional neural network. Firstly a one-dimensional vibration signalis mapped into two-dimensional image information, and the two-dimensional image data are used for training a network model; and then the structural parameters of the convolutional neural network in the application process are analyzed and the better network parameters are selected so that the convolutional neural network structure having high mechanical fault classification capacity is obtained. Accurate identification and classification of the mechanical fault under the complex condition of different loads and different rotating speed can be realized; and the convolutional neural network model can greatly enhance the feature extraction capacity of the neural network by establishing the multilayer network, mastering of manual technology for mass signal processing and dependence on the diagnosis experience can be overcome, the fault features can be directly acquired from the original time domain signal through the learning mode to perform diagnosis, and adaptive extraction of the faultfeatures and intelligent diagnosis of the state of health under the condition of TB level data volume per hour can be realized.

The invention relates to a multimode intelligent analysis method and a system. The disease description is multimode data, and the multimode data comprises character data, time sequence signal data and visual data; the method can be applied to the diagnosis navigation and diagnosis decision according to the disease situation; the method includes steps of converting visual data to character description through an image-text decoder; converting a time sequence signal to the text description through a signal character decoder; respectively converting the character data, the character description of the visual data and the time sequence signal data to a semantic vector taking a medical treatment mapping knowledge domain as an axis, wherein the medical treatment mapping knowledge domain describes the topological relation among the symptom, laboratorial index, disease, drug and operation; according to the semantic vector, a first convolution neutral network CNN model is applied to perform diagnosis navigation and diagnosis decision. According to the embodiment, the best diagnosis path and the diagnosis result with high accuracy can be acquired.

A technique is provided for performing diagnosis and/or analysis of a volumetric image generated via anatomy based reconstruction. The technique includes generating a three-dimensional image by reconstructing a plurality of residual projection images from which a contribution of one or more structures of interest has been removed. The technique also includes evaluating the three-dimensional image and/or the plurality of residual projection images to generate a diagnosis.

The invention discloses a method and system for fast positioning of an automobile diagnostic function. The method comprises the steps of obtaining VIN (vehicle identification number) information of an automobile by automobile diagnosis equipment; parsing the VIN information to obtain a manufacturer code and an automobile type code of the automobile by the automobile diagnosis equipment; selecting an appropriate diagnostic module by the automobile diagnosis equipment according to the manufacturer code and the automobile type code of the automobile to perform diagnosis on a vehicle. The manufacturer code and the automobile type code of the automobile are obtained by the automobile diagnosis equipment through identification and parsing of the VIN information of the automobile, and the diagnosis is further performed on the vehicle based on the appropriate diagnostic module which is automatically selected; by implementing the scheme, the use of maintenance staff of the automobile is facilitated, the operation process flow is simplified, and the intelligent diagnosis effect is achieved.

The invention belongs to the technical field of noise detection, and provides a detection method for pathological voice. The method comprises the following steps of collecting the voice of a patient to be detected, conducting characteristic parameter extraction and selection on the collected voice signal, enabling optimized parameters to enter a constructed classifier model for conducting disorder grade evaluation, and outputting the detected voice disorder grading result. According to the detection method for the pathological voice, a computer and scientific judging standards are used, a professional voice processing algorithm is adopted, a doctor can be partially or completely replaced for diagnosing the patient, the result is used as the diagnosis reference for the doctor, and the contingency of the diagnostic process is reduced to the greatest extent. In addition, the detection method is easy to implement, convenient to use and high in diagnosis accuracy, an ordinary medical worker can master the detection method through simple training, the defect that medical resources are not enough in remote areas and small cities is overcome to some extent, and the disease of the patient can be diagnosed nearby and treated as soon as possible. Moreover, the specific and quantified grading mode is provided for the voice disorder, corresponding data logs are provided at each stage in the treatment process of the patient, the doctor can completely track and know the state of the disease through the data, and the treatment process of the patient is ensured to the greatest extent.

An oxygen concentration detecting apparatus precisely and easily performs diagnosis of a limit current type oxygen sensor. The limit current type oxygen sensor has an oxygen concentration detecting element for outputting limit current proportional to the oxygen concentration and a heater for heating the detecting element. A CPU of a microcomputer controls energization of the heater to activate the oxygen sensor. The CPU calculates element resistance based on the voltage applied to the oxygen sensor and the current detected in the sensor. In a sensor diagnosis routine, the CPU determines whether preconditions for the diagnosis have been met. If all the preconditions have been met, the CPU executes the diagnosis. That is, the CPU determines whether the element resistance is within a predetermined range. If it is below the range, the CPU determines that the sensor has high element temperature abnormality. If the element resistance is above the range, the CPU determines that the sensor has low element temperature abnormality.

The invention discloses a capacitive voltage transformer error state online monitoring method and a system thereof. The method comprises the steps of through synchronous triggering of a synchronous signal unit, acquiring and calibrating measurement data of an operation three-phase capacitive voltage transformer, establishing a threshold which represents a statistics characteristic parameter of thecapacitive voltage transformer error state and a statistics characteristic quantity of a standard normal operation state by means of a principal component analysis method; acquiring measurement dataof the three-phase capacitive voltage transformer in the operation state, according to a statistics characteristic parameter, representing a statistics characteristic quantity of the three-phase capacitive voltage transformer error state by means of an adaptive principal component analysis method, and comparing the statistics characteristic quantity with a statistics threshold for determining whether the error state of the capacitive voltage transformer is normal; and when the statistics characteristic quantity of the measured data exceeds the statistics threshold, performing diagnosis on theerror abnormity of the capacitive voltage transformer. The capacitive voltage transformer error state online monitoring method and the system thereof can realize real-time online evaluation on the error state of the capacitive voltage transformer.

A driving characteristics diagnosis device, includes: an information acquisition unit that acquires information relating to the operational state of a vehicle; a dangerous driving detection processing unit that detects dangerous driving by a user of the vehicle on the basis of information acquired by the information acquisition unit; a cause estimation processing unit that estimates a cause of the dangerous driving; a driving characteristics diagnosis processing unit that performs diagnosis of driving characteristics for the user on the basis of a result of detection of the dangerous driving by the dangerous driving detection processing unit and the cause of the dangerous driving estimated by the cause estimation processing unit; and a diagnosis result output unit that outputs the result of the diagnosis of driving characteristics diagnosed by the driving characteristics diagnosis processing unit.

The invention discloses a health cloud intelligent service platform based remote monitoring wrist positioner. The monitoring wrist positioner is connected with a cloud positioning management platform through network communication, wherein the cloud positioning management platform is arranged in a health cloud intelligent service platform and the monitoring wrist positioner is used for performing real-time monitoring on the health state of a user and performing timely and effective feedback; the health cloud intelligent service platform comprises a blood pressure, pulse and body temperature regular automatic test and management platform, a remote medical service system, a home self-test system, a community old-age health care medical service system, the cloud positioning management platform, an short message and WeChat service platform and other health intelligent analysis platforms; the statistical analysis is performed on data collected through the monitoring wrist positioner through the systems and diagnostic conclusions, related suggestions and matters needing attention are given regularly. According to the health cloud intelligent service platform based remote monitoring wrist positioner, the medical staff do not need to perform diagnosis and analysis on a patient personally to implement the self-service check of the user and accordingly medical resources and the user time are saved and meanwhile the characteristic service and the whole health service can be provided.

The invention discloses a GIS-based power grid planning project full-process closed-loop control method and system. The method includes performing diagnosis analysis of the power grid present situation of a setting area; determining the important degree and solution scheme of the problems of lines or equipment and performing power grid planning of the fault lines or equipment; performing power grid planning information data acquisition and pretreatment; performing power grid planning project scientific reviewing and power grid planning project graph drawing at the power grid GIS platform based on the power grid GIS existing racks according to the acquired data; and evaluating the technology feasibility of the power grid planning project content. Through the combination with the power grid GIS platform, the basic data fusion degree of intelligent distribution network monitoring and geography information is improved, and the function of GIS system planning is improved, and the full-process online management of project propose, project database management, scientific reviewing, GIS graph drawing, and after-project evaluation of middle-low voltage projects.