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38results about How to "Improve diagnostic sensitivity" patented technology

Turbine generator rotor interturn short-circuit fault diagnosis method based on end distortion effect

The invention discloses a turbine generator rotor interturn short-circuit fault diagnosis method based on the end distortion effect. The method includes the steps of firstly, installing a magnetic field detection coil on an end distortion magnetic flux path of a turbine generator; secondly, online collecting voltage signals sensed by the magnetic field detecting coil through a data collecting instrument, conducting fast fourier transformation on the signals, and obtaining a spectrogram of the signals; thirdly, diagnosing whether the interturn short-circuit fault exists in rotor windings of the turbine generator or not according to the amplitude changing situation of all spectrum components of the signals. The interturn short-circuit fault in the rotor windings of the turbine generator is diagnosed according to the amplitude changing situation of some characteristic frequency components in the voltage signals sensed by the magnetic field detecting coil, and the turbine generator rotor interturn short-circuit fault diagnosis method has the advantages that diagnosing flexibility is high and sensors are convenient to install, is universally suitable for various types of turbine generators in an electric system, and has wide application prospects.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)

Twelve-lead standard electrocardiogram acute myocardial infarction intelligent determining system based on artificial intelligence

The invention provides a twelve-lead standard electrocardiogram acute myocardial infarction intelligent determining system based on artificial intelligence. The twelve-lead standard electrocardiogramacute myocardial infarction intelligent determining system comprises a data acquisition system and a cloud platform data storage system. The data acquisition system is in communication connection withthe cloud platform data storage system. The cloud platform data storage system is connected with a data modeling analysis system. The data modeling analysis system is connected with a data display system. The data acquisition system comprises an electrocardiogram acquisition system, an angiography device, a clinical testing observing table, and time between chest ache occurring and electrocardiogram acquiring. The twelve-lead standard electrocardiogram acute myocardial infarction intelligent determining system depends on a big data cloud platform and establishes an artificial intelligence algorithm based on characteristic identification acute myocardial infarction (fixed property, fixed position and fixed time) of the twelve-lead standard electrocardiogram, thereby establishing a whole myocardial infarction automatic determining intelligent system platform, quickly realizing acute myocardial infarction automatic determining, and improving diagnosis efficiency.
Owner:上海移视网络科技有限公司

Positioning automatic discrimination system of acute myocardial infarction based on CNN neural network

The invention discloses a positioning automatic discrimination system of acute myocardial infarction based on CNN neural network, and relates to the technical field of myocardial infarction positioning discrimination. The positioning automatic discrimination system comprises a data acquisition system, a cloud platform data storage system, a positioning discrimination analysis system and a data display system. A wearable ECG monitor is connected with to-be-discriminated personnel to record and generate a 12 lead primitive electrocardiogram; an electrocardiogram acquisition system acquires 12 lead primitive electrocardiogram data including wave amplitude of P wave, wave amplitude of a QRS wave group, wave amplitude of a ST section and wave amplitude of T wave; and the positioning discrimination analysis system utilizes a positioning discrimination model acquired based on CNN neural network training to carry out convolution calculation to acquire discrimination intermediate data, and thediscrimination intermediate data are mapped by a sigmoid function to acquire discrimination result data, so that positioning discrimination of occurrence positions of the acute myocardial infarction of the to-be-discriminated personnel is made. The positioning automatic discrimination system of the acute myocardial infarction based on the CNN neural network makes accurate positioning discrimination of the occurrence positions of the acute myocardial infarction of the to-be-discriminated personnel.
Owner:上海移视网络科技有限公司

Qualitative automatic discrimination system of acute myocardial infarction based on CNN neural network

ActiveCN108926343AQuick realization of automatic discriminationRealize automatic discriminationDiagnostic recording/measuringSensorsData displayT wave
The invention discloses a qualitative automatic discrimination system of acute myocardial infarction based on CNN neural network, and relates to the technical field of myocardial infarction qualitative discrimination. The qualitative automatic discrimination system comprises a data acquisition system, a cloud platform data storage system, a qualitative discrimination analysis system and a data display system. A wearable ECG monitor is connected with to-be-discriminated personnel to record and generate a 12 lead primitive electrocardiogram; an electrocardiogram acquisition system acquires 12 lead primitive electrocardiogram data including wave amplitude of P wave, wave amplitude of a QRS wave group, wave amplitude of a ST section and wave amplitude of T wave; and the qualitative discrimination analysis system utilizes a qualitative discrimination model acquired based on CNN neural network training to carry out convolution calculation to acquire discrimination intermediate data, and thediscrimination intermediate data are mapped by a sigmoid function to acquire discrimination result data, so that qualitative discrimination of whether the to-be-discriminated personnel suffering fromthe acute myocardial infarction or not is made. The qualitative automatic discrimination system of the acute myocardial infarction based on the CNN neural network makes accurate qualitative discrimination of whether the to-be-discriminated personnel suffering from the acute myocardial infarction or not.
Owner:上海移视网络科技有限公司

Fault Diagnosis Method for Turbine Generator Rotor Turn-to-Turn Short Circuit Based on End Distortion Effect

The invention discloses a turbine generator rotor interturn short-circuit fault diagnosis method based on the end distortion effect. The method includes the steps of firstly, installing a magnetic field detection coil on an end distortion magnetic flux path of a turbine generator; secondly, online collecting voltage signals sensed by the magnetic field detecting coil through a data collecting instrument, conducting fast fourier transformation on the signals, and obtaining a spectrogram of the signals; thirdly, diagnosing whether the interturn short-circuit fault exists in rotor windings of the turbine generator or not according to the amplitude changing situation of all spectrum components of the signals. The interturn short-circuit fault in the rotor windings of the turbine generator is diagnosed according to the amplitude changing situation of some characteristic frequency components in the voltage signals sensed by the magnetic field detecting coil, and the turbine generator rotor interturn short-circuit fault diagnosis method has the advantages that diagnosing flexibility is high and sensors are convenient to install, is universally suitable for various types of turbine generators in an electric system, and has wide application prospects.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)

Acute Myocardial Infarction Qualitative Automatic Discrimination System Based on CNN Neural Network

A qualitative automatic discrimination system for acute myocardial infarction based on CNN neural network, which relates to the technical field of qualitative discrimination of myocardial infarction, including data acquisition system, cloud platform data storage system, qualitative discrimination analysis system and data display system; wearable ECG monitor and The person to be identified connects, records and generates 12-lead original ECG; the ECG acquisition system acquires 12-lead original ECG data, including P wave amplitude, QRS wave group amplitude, ST segment amplitude and T wave amplitude; qualitative discriminant analysis The system uses the qualitative discrimination model obtained based on CNN neural network training to perform convolution calculations to obtain discriminant intermediate data, and the discriminant intermediate data is mapped by the sigmoid function to obtain discriminant result data, so as to make a qualitative judgment on whether the person to be judged suffers from acute myocardial infarction; The application is to provide a qualitative automatic identification system for acute myocardial infarction based on CNN neural network, which can make accurate qualitative identification of whether the person to be identified has acute myocardial infarction.
Owner:上海移视网络科技有限公司

An Automatic Discrimination System for Acute Myocardial Infarction Location Based on CNN Neural Network

ActiveCN108926344BQuick realization of automatic discriminationRealize real-time early warningDiagnostic recording/measuringSensorsData displayT wave
An automatic identification system for acute myocardial infarction positioning based on CNN neural network, which relates to the technical field of myocardial infarction positioning and identification, including a data acquisition system, a cloud platform data storage system, a positioning identification analysis system and a data display system; a wearable ECG monitor and a The person to be judged connects, records and generates a 12-lead original ECG; the ECG acquisition system obtains the 12-lead original ECG data, including the amplitude of the P wave, the amplitude of the QRS complex, the amplitude of the ST segment and the amplitude of the T wave; positioning discriminant analysis The system uses the positioning discrimination model based on the training of the CNN neural network to perform convolution calculation to obtain the discriminant intermediate data, and the discriminant intermediate data is mapped by the sigmoid function to obtain the discrimination result data, so as to make the location discrimination of the acute myocardial infarction occurrence site of the person to be discriminated; this application Provided is an automatic judging system for locating acute myocardial infarction based on CNN neural network, which can accurately judge whether the person to be judged is the site of acute myocardial infarction.
Owner:上海移视网络科技有限公司

An Automatic Discrimination System of Acute Myocardial Infarction Timing Period Based on CNN Neural Network

The invention discloses an automatic acute myocardial infarction fixed period discrimination system based on a CNN, and relates to the technical field of myocardial infarction fixed period discrimination. The automatic acute myocardial infarction fixed period discrimination system comprises a data acquisition system, a cloud platform data storage system, a fixed period discrimination and analysissystem and a data display system. A wearable ECG monitor is connected with a person to be discriminated, and records and generates 12-lead original electrocardiograms; an electrocardiogram acquisitionsystem acquires data of the 12-lead original electrocardiograms such as P wave amplitudes, QRS wave group amplitudes, ST segment wave amplitudes and T wave amplitudes; and the fixed period discrimination and analysis system uses a fixed period discrimination model obtained by training based on the CNN neural network to carry out convolution calculation to obtain discrimination intermediate data,and then obtains discrimination result data through sigmoid function mapping, so that fixed period discrimination of an occurrence period of acute myocardial infarction of the person to be discriminated is performed. The automatic acute myocardial infarction fixed period discrimination system based on the CNN neural network can accurately discriminate whether a person to be discriminated is in theacute myocardial infarction occurrence period or not.
Owner:上海移视网络科技有限公司

Excrement biomarker for early diagnosis of broiler tibial cartilage dysplasia and application thereof

ActiveCN114088855AHigh sensitivity for early clinical detectionExpand clinical applicationComponent separationProteomicsMetaboliteTibial dyschondroplasia
The invention belongs to the technical field of biological detection and diagnosis, and particularly relates to an excrement biomarker for early diagnosis of broiler tibial cartilage dysplasia and application of the excrement biomarker. According to the present invention, differential metabolite 4-hydroxybenzaldehyde capable of distinguishing TD broilers and healthy broilers is obtained through screening based on a metabonomics method and can be used for indicating early TD of the broilers; compared with an existing TD clinical diagnosis method, the method has the advantages that the excrement sample is innovatively selected for clinical detection of a non-invasive biomarker, and the purposes of non-invasion, simplicity, convenience and no stress reaction are achieved; a sample is easy to sample, the detection sample can be collected under a stress-free condition, the stress reaction of the broiler chicken is avoided, and the clinical diagnosis of TD can be simply, conveniently and non-invasively carried out; the excrement biomarker has high sensitivity to early diagnosis of TD, can detect the sub-clinical disease broilers, and is beneficial to intervention and treatment at the early stage of disease.
Owner:HENAN AGRICULTURAL UNIVERSITY

Application of carbonic anhydrase-2 as detection marker in diagnosis of kidney stones

The invention relates to the field of biomedical diagnosis, in particular to an application of a carbonic anhydrase-2 as a detection marker in a diagnosis of kidney stones. The diagnosis of kidney stones is carried out by detecting the content and the activity of the carbonic anhydrase-2, wherein the carbonic anhydrase-2 comprises a plurality of species and subtypes which have a high homology, sothat a same effect can be achieved when detecting different species and subtypes. According to the application of the carbonic anhydrase-2 as the detection marker in the diagnosis of kidney stones, the situation that a urine carbonic anhydrase-2 is significantly elevated in patients with kidney stones is verified, and healthy people and renal tumor patients can be clearly distinguished; meanwhile,the diagnosis value of the urine carbonic anhydrase-2 in finding the patients with kidney stones is further verified, and the urine carbonic anhydrase-2 has the advantages of being high in diagnosissensitivity and specificity, convenient to detect and the like; and whether a patient with kidney stones has a risk of recurrence or not can also be judged and thus being discovered as soon as possible, so that a clinical doctor can conveniently give the corresponding prevention and control measures, and the economic burden and physical pain of the patient are alleviated.
Owner:九江学院附属医院

Quantitative analysis method of substantia nigra hyperechoic intensity by transcranial ultrasound

The invention discloses a quantitative analysis method of substantia nigra hyperecho intensity by transcranial ultrasound, which comprises the following steps: 1) obtaining the original TCS picture of the patient and the corresponding labeled picture after interpretation by the clinician, and randomly dividing them into a training set and a training set. Test set; 2) Deeply learn the adversarial network on the training set and perform network training to establish a model for analyzing substantia nigra echo images; 3) use the test set to verify the model for analyzing substantia nigra echo images; The predicted image is first converted into a grayscale image, and then converted into a binary image; 5) Morphological analysis of the grayscale value is performed to extract the images of the left and right substantia nigra hyperechoic areas in the midbrain; 6) Extract feature parameters; 7) Calculate Obtain the substantia nigra hyperechoic total intensity value. The quantitative analysis method of substantia nigra hyperecho intensity of the transcranial ultrasound of the present invention can realize quantitative interpretation and analysis of substantia nigra hyperecho, makes the change of substantia nigra echo more intuitive, and assists clinicians to improve the ability of identifying and diagnosing PD.
Owner:TONGJI HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI TECH
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