40results about How to "Objective diagnosis" patented technology

The invention discloses a depression evaluating system and method based on a heart rate variability analytical method, particularly a depression evaluating system and method in a perinatal period. The depression evaluating system comprises a data storage module used for storing electrocardio and pulse wave signals, a peak detecting module used for acquiring a peak point sequence of recording data, a data correcting module used for acquiring sinus beat NN interval sequence, a heart rate variability curve acquiring module used for acquiring a heart rate variability curve, an HRV analyzing module conducting time domain analysis, frequency domain analysis and nonlinear analysis, a feature parameter selecting module used for selecting a feature parameter from HRV parameters, a modeling module used for obtaining a perinatal period depression classification model, and a model applying module used for inputting the data of a testee into the classification module to obtain a depression degree. By means of the depression evaluating system and method based on the heart rate variability analytical method, degree quantitative evaluation of perinatal period depression is achieved, a scientific research method of the depression based on the technical field of physiological information examination is enriched, a test is simple and practicable, medical resources can be effectively saved, and good clinical practicality is achieved.

An application of three-dimensional photoacoustic imaging in a breast tumor scoring system includes the following steps: (1) image information of breast tumor is collected by photoacoustic / ultrasonicdual-mode imaging in vitro; (2) the collected image information is analyzed and morphological scoring and functional scoring are performed respectively; and (3) by combining the results of morphological scoring and functional scoring, a comprehensive score is obtained and whether the breast tumor has a malignant tendency result or not is judged; and if one or all of the morphological scoring or functional scoring are judged as malignant tendency, the tumor is considered as malignant tendency. More stable quantitative results can be provided through three-dimensional tumor imaging. In addition,compared with single breast three-dimensional photoacoustic imaging, a tumor area is depicted by ultrasound imaging, the external and internal characteristics of the tumor can be analyzed respectively, and the diagnostic sensitivity and specificity are improved. In addition, malignant and benign tumors are distinguished based on the critical value of oxygen saturation (SO2), and the method is more convenient, highly repeatable and objective in diagnosis.

Systems and methods for improving quality assurance in pathology using automated quality assessment and digital image enhancements on digital slides prior to analysis by the pathologist are provided. A digital pathology system (slide scanning instrument and software) creates, assesses and improves the quality of a digital slide. The improved digital slide image has a higher image quality that results in increased efficiency and accuracy in the analysis and diagnosis of such digital slides when they are reviewed on a monitor by a pathologist. These improved digital slides yield a more objective diagnosis than reading the corresponding glass slide under a microscope.

The invention relates to a method for evaluating the oil paper insulation micro-water content by utilizing backward elimination multiple regression analysis. The method comprises the following steps:firstly, preparing five groups of oiled paper insulation samples with different micro-water contents, and extracting nine frequency domain characteristic parameters capable of representing the micro-water contents of oiled paper insulation; then establishing a test model of the oil paper insulation micro-water content and multivariate characteristic parameters at different characteristic frequencies by utilizing a backward elimination multivariate parameter regression manner; and finally, verifying the accuracy and credibility of the test model through an example. According to the method, theminimum characteristic parameters are used for evaluating the oil-paper insulation micro-water content to the maximum extent, and therefore, the method for evaluating the oil paper insulation micro-water content by utilizing backward elimination multiple regression analysis is provided.

The invention discloses a full-automatic blood smear morphological analysis system based on machine vision and relates to the technical field of medical instruments. The system comprises an optical system unit, an upper computer software processing unit and a lower computer hardware unit; the optical system unit comprises a biological microscopic imaging system and a CCD biological camera; the upper computer software processing unit comprises a user control interface module, a blood smear image processing module and an upper and lower computer communication module; the lower computer hardwareunit comprises a focusing motion module and an image acquisition motion module; automatic focusing is performed through the optical system unit; a blood smear digital image is collected; blood smear image features are recognized and processed through a machine learning algorithm of the upper computer software processing unit; different types of leukocytes are classified and counted; and a processing result is displayed the a graphical user interface; a monocular microscope is matched with a reflective light source, so that an optical structure is greatly simplified, and rapid imaging is realized. The full-automatic blood smear morphological analysis system is high in working efficiency, high in accuracy and high in automation level.

The invention discloses a deep convolutional neural network-based lung cancer preventing self-service health cloud service system. The system comprises a convolutional neural network used for deep learning and training identification, a segmentation module which segments out a lung region from a CT image based on a full convolutional neural network, a deep convolutional neural network used for lung cancer diagnosis classification, and a self-service health cloud service platform used for performing early prevention and treatment according to an identified suspected lung cancer type. According to the system, the automation and intelligentization level of mobile internet-based lung cancer screening can be effectively improved, more citizens can know and participate in self-service health detection, assessment and guidance, the sensitivity, specificity and accuracy of early lung cancer screening and clinical diagnosis are improved, the lung cancer can be early discovered, early diagnosed and early treated, and the self-health management capability is enhanced.

A video laryngoscope system having flat scan video kymography and laryngoscopic functions for analyzing a motion state of a larynx comprises: a laryngoscope for viewing vocal cords; a light source for illuminating the vocal cords; a video camera which has a beam splitter for separating an image viewed by means of the laryngoscope and the light source into two images to acquire a flat scan kymographic image and a stroboscopic image; a dual image capturing unit for converting two image signals transmitted from the video camera into a digital image signal; a storage unit for storing the digital image signal; a control unit for analyzing the digital image signal of the storage unit and simultaneously displaying analysis results of the flat scan kymographic image and the stroboscopic image; and a computer comprising analysis software for analyzing the image signal of the storage unit; and a monitor for displaying photographed images and analysis results.

The invention discloses a nuclear cataract recognition method and device, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: extracting region features of a crystalline lens nuclear region in a sample eye image, extracting shape features of the crystalline lens nuclear region in the sample eye image, and determining target features of the sample eye image according to the region features and the shape features; and based on the target features of the sample eye image, constructing a nuclear cataract recognition model for determining the nuclear cataract level of the to-be-recognized eye image. According to the technical scheme, the lesion features of the crystalline lens nuclear region in the fundus image can be accurately obtained, so that the judgment of the nuclear cataract level is more accurate, a new thought is provided for automatic diagnosis of the nuclear cataract, and an ophthalmologist can be assisted to efficiently, objectively and accurately diagnose the nuclear cataract.

The invention discloses a depression evaluating system and method based on a heart rate variability analytical method, particularly a depression evaluating system and method in a perinatal period. The depression evaluating system comprises a data storage module used for storing electrocardio and pulse wave signals, a peak detecting module used for acquiring a peak point sequence of recording data, a data correcting module used for acquiring sinus beat NN interval sequence, a heart rate variability curve acquiring module used for acquiring a heart rate variability curve, an HRV analyzing module conducting time domain analysis, frequency domain analysis and nonlinear analysis, a feature parameter selecting module used for selecting a feature parameter from HRV parameters, a modeling module used for obtaining a perinatal period depression classification model, and a model applying module used for inputting the data of a testee into the classification module to obtain a depression degree. By means of the depression evaluating system and method based on the heart rate variability analytical method, degree quantitative evaluation of perinatal period depression is achieved, a scientific research method of the depression based on the technical field of physiological information examination is enriched, a test is simple and practicable, medical resources can be effectively saved, and good clinical practicality is achieved.

A gingivitis diagnosis assistance device (20A) is provided with a cross-section data extraction unit (21) for extracting cross-section data in a depth direction of a gingivitis peripheral part from three-dimensional point group data of a mouth front, and a gingivitis diagnosis data generating unit (25) for processing the cross-section data into a format suitable for gingivitis diagnosis and generating gingivitis diagnosis data, the gingivitis diagnosis data generating unit (25) generating, as the gingivitis diagnosis data, a two-dimensional graph in which the left-right direction or the up-down direction of the mouth front is the first axis and the depth direction is the second axis, for example.

The invention discloses a wheat critical nitrogen concentration dilution curve model. The formula is Nc = 5.25 DW<-0. 472> or Nc = 5.309 DW<-0. 47>, wherein Nc is the critical nitrogen concentration value of the dry matter mass of the overground part of the wheat, and DW is the maximum value of the accumulation amount of the dry matter mass of the overground part of the wheat. Nitrogen level tests of multiple varieties are set in different years to find out a theoretical basis for objectively and quantitatively judging the nitrogen nutrition status of wheat plants, the winter wheat critical nitrogen concentration dilution curve model is established, nitrogen fertilizer operation and quantitative regulation in the region are guided according to the model, and a basis is provided for precise fertilization in wheat production.

The invention discloses application of TPI1 protein as a biomarker for detecting respiratory syncytial virus infection in a sample. The invention further provides a kit for diagnosing respiratory syncytial virus infection. The respiratory syncytial virus infection condition in a sample can be rapidly, simply and specifically detected, and the kit has important clinical diagnosis value and clinical significance for early and rapid diagnosis of respiratory syncytial virus infection.

The present invention relates to a molecular marker that can be used for rapid and accurate detection of ventricular septal defect. The molecular marker is DDIT4 gene. The inventor found that the expression level of DDIT4 was only significantly increased in children with VSD. Through quantitative analysis of peripheral blood The content of DDIT4 gene can detect VSD. The present invention has the advantages of convenient material collection, simple operation, strong specificity, fast and accurate results, stable results, etc., and can diagnose VSD in a timely, fast, objective and accurate manner. In particular, VSD can be separated from ASD and PDA through one experiment, which has the advantages of traditional diagnosis. advantages over the method. Therefore, the present invention has great clinical application value for the rapid diagnosis of VSD children, and provides direction for further developing a VSD rapid diagnosis kit.

The embodiment of the invention discloses an electronic stethoscope and belongs to the technical field of medical equipment. The problems that a traditional stethoscope has limitation in use and cannot meet the demands of consumers for self-prevention and self-diagnosis are solved. According to the embodiment, the stethoscope comprises an auscultation head, a pickup sensor and an audio plug, wherein the auscultation head makes contact with the body surface to obtain an auscultation sound; the pickup sensor is connected with the auscultation head and used for filtering the auscultation sound and converting the auscultation sound into an electric signal; the audio plug is connected with the pickup sensor through an audio data line and transmits the electric signal to peripheral equipment through connection with the peripheral equipment. The electronic stethoscope can be used without professional medical staff, the consumers can perform auscultation by themselves, and storage is achieved after recording through the peripheral equipment (such as a mobile phone). The consumers track the health states by comparing multiple auscultation sound signals, and therefore the purpose of self-prevention or self-diagnosis is achieved.

The invention discloses a fully automatic blood smear morphology analysis system based on machine vision, relates to the technical field of medical equipment, and includes an optical system unit, a software processing unit of an upper computer, and a hardware unit of a lower computer. The optical system unit includes a biological microscope imaging system and a CCD biological camera. The upper computer software processing unit includes a user control interface module, a blood smear image processing module, and an upper and lower computer communication module. The hardware unit of the lower computer includes a focusing movement module and an image acquisition movement module. The digital image of the blood smear is collected through the optical system unit, and the machine learning algorithm of the host computer software processing unit recognizes and processes the characteristics of the blood smear image, classifies and counts different types of white blood cells, and displays the processing results through the graphical user interface. The monocular microscope is equipped with a reflective light source, which greatly simplifies the optical structure and realizes fast imaging; it provides a fully automatic blood smear morphology analysis system with high work efficiency, high precision and high automation level.