808 results about "Disease detection" patented technology

The invention relates to compositions and methods for detecting and quantifying small RNA species such as miRNA, preferably associated with disease detection and diagnosis.

The disclosure provides a method, an electronic apparatus, and a computer readable medium of constructing a classifier for disease detection. The method includes the following steps. A codebook of representative features is constructed based on a plurality of disease-irrelevant data. Transfer-learned disease features are extracted from disease-relevant bio-signals according to the codebook without any medical domain knowledge, where both the disease-irrelevant data and the disease-relevant bio-signals are time-series data. Supervised learning is performed based on the transfer-learned disease features to train the classifier for disease detection.

A catheter with a small optical fiber or bundle of fibers includes a scanning mechanism constructed with the use of any vibration capable component. Magnetic, piezoelectric or other mechanisms are used to vibrate the end of the fiber and thus create a scanning effect which extends the field of view. One or more lenses may be utilized, including a lens attached to the distal tip of the image fiber, or a lens attached to the distal tip of the catheter for creating an image plane which can be scanned by the fiber. In one embodiment, multiple light sources may be connected to the fiber for enabling the use of field sequential color techniques for real-time imaging, as well as real-time fluorescent imaging for disease detection. A photodetector assembly connected to the proximal end may contain both filtered and unfiltered detectors for use with both standard imaging and fluorescent imaging. The resulting vision catheter is relatively inexpensive and disposable.

Described are enzyme systems specific for acetone and methods of using these enzyme systems to detect acetone in biological or environmental samples. Biosensors containing these enzyme systems are disclosed, in which detection of acetone may be achieved by linking electrochemical, photometric, or other detection means to one or more acetone-specific enzyme reactions or pathways. Methods of using such acetone-specific biosensors include subject management of weight loss, disease detection, and bioavailability monitoring of therapeutics.

Embodiments of the invention are related to methods and devices for respiratory or cardiac disease detection, monitoring, and / or management. In an embodiment, the invention includes a method of calculating a pulmonary function parameter of a subject. The method can include obtaining a first signal indicative of lung volume change during breathing from a first sensor, obtaining a second signal indicative of distending pressure from a second sensor, and calculating the pulmonary function parameter based on the first signal and the second signal. In an embodiment, the invention includes a method of monitoring pulmonary or cardiac disease status. In an embodiment, the invention includes an implantable medical device. The implantable medical device can include a first sensor configured to produce a first signal indicative of lung volume change during breathing, a second sensor configured to produce a second signal indicative of intrapleural pressure, and a processor configured to calculate lung compliance or pulmonary resistance based on the first signal and the second signal. Other aspects and embodiments are provided herein.

The present invention provides methods for detecting disease by analysis of a patient sample to determine the integrity of nucleic acids in the sample.

The present invention relates to a device and method for the detection of mastitis or other disease from a body fluid of a mammal for example from cow's milk. The device and method relates to a wedge microfluidic chamber for using a minimal amount of fluid and being able to use the device to observe leukocytes in a mono-layer for the purpose of disease detection, cell counts or the like.

The invention relates to a tunnel lining disease detection device based on an infrared temperature field and a gray level image. The tunnel lining disease detection device comprises a vehicle-mounted mobile platform, illumination equipment, a photoelectric encoder, a GPS (Global Position System) receiver, an inertia unit, a synchronous controller, an area-array camera, an infrared thermal imager, an acquisition server, a display control device and a power supply system; tunnel lining two-dimensional image data, infrared temperature field data and fracture surface deformation data are combined with positioning data of the GPS, the inertia unit and the photoelectric encoder to establish a tunnel model with gray level information, temperature information and fracture surface deformation; and tunnel lining cracks are analyzed, and the length, width and lining leakage water information of the cracks are automatically detected. For the tunnel lining disease detection device, the advantages of infrared temperature field detection and two-dimensional gray level image crack detection are combined so that the detection result is relatively reliable, the speed is rapid and the working efficiency is greatly improved.

The present invention provides a new method and device for disease detection, more particularly cancer detection, from the analysis of diffuse reflectance spectra measured in vivo during endoscopic imaging. The measured diffuse reflectance spectra are analyzed using a specially developed light-transport model and numerical method to derive quantitative parameters related to tissue physiology and morphology. The method also corrects the effects of the specular reflection and the varying distance between endoscope tip and tissue surface on the clinical reflectance measurements. The model allows us to obtain the absorption coefficient (μa) and further to derive the tissue micro-vascular blood volume fraction and the tissue blood oxygen saturation parameters. It also allows us to obtain the scattering coefficients (μs and g) and further to derive the tissue micro-particles volume fraction and size distribution parameters.

A method for processing medical images for use in the detection and diagnosis of disease comprises classifying regions of interest within the medical images based on a hierarchy of anatomical models and signal models of signal information of an image acquisition device used to acquire the medical images. The anatomical models are derived to be representative of anatomical information indicative of a given disease. A computer-aided system for use in the diagnosis and detection of disease comprises an image acquisition device for acquiring a plurality of image data sets and a processor adapted to process the image data sets. The processor is adapted to classify selected tissue types within the image data sets based on a hierarchy of signal and anatomical models and the processor is further adapted to differentiate anatomical context of the classified tissue types for use in the diagnosis and detection of disease.

The invention discloses a semi-rigid base pavement damage detection and polymer grouting fast maintenance technology, which utilizes a falling weight deflectometer (FWD) and a ground penetrating radar (GPR) to detect and evaluate the performance of the pavement, identify the pavement damage and realize the lossless and fast detection of the semi-rigid base pavement damage. A grouting hole is perforated on the section that needs damage treatment and polymeric materials are injected into the hole to repair the pavement. The maintenance technology has the advantages of speedy construction, good durability, strong pertinence and excellent waterproof performance of the injected polymeric materials, which not only saves a large amount of funds and construction periods and avoids the adverse social effects caused by long affected traffic, but also is beneficial to environmental protection and resources-saving . The semi-rigid base pavement damage detection and polymer grouting fast maintenance technology of the invention integrates damage lossless detection technology such as the FWD and the GPR, etc. with the polymer grouting fast maintenance technology, thus providing a whole set of advanced, efficient, economical and practical technology for detecting and maintaining the semi-rigid base pavement damage.

The present invention provides improved methods for detection of minimal disease. More specifically, the invention provides methods for combining cell sorting with clonality profiling to effectively lower sensitivity limits for disease detection and to provide independent confirmation of the tumor detection without the need for patient specific assay designs.

Factor retrieving is a major approach for pulse wave analysis. Stiffness index and cardiac output are widely used factors for cardiac risk detection. Research has been done on clinical pulse wave data which are collected by pulse oximeter. The result shows that collected factors have a positive correlation with certain cardiac risks. Some adjustments have been applied on the algorithms that increase the significance. In addition to the factor based analysis, other signal processing techniques for pulse waveforms are included such as bispectrum estimation, Wavelet transform, and weighted dynamic time warping. Bispectrum estimation and Wavelet transform have meaningful features of pulse waveforms with some special shapes. Weighted dynamic time warping compares the similarity of waveforms. It also includes medical significance into the calculation by adjusting the weight vector. This algorithm has higher accuracy when providing more samples to compare. The factor based analysis and waveform analysis compose an analytic model which can be used for risk evaluation, classification and disease detection.

A device and method of detection and treatment of a solid cancer tumor, for example prostate cancer. In a diagnostic method, ultrasound is used to extract a cancer tumor marker from interstitial fluid into a coupling medium. In a method for treating a solid tumor, ultrasound is used to deliver one or more drugs from the coupling medium directly to the site of the tumor.

The invention provides methods for detecting and measuring levels of specific polymers that are defined by a minimum length. Such detection methods are applicable to disease detection.

The invention discloses a plant pest and disease detection method based on multiple features and a support vector machine, including the specific steps of preprocessing a plant image collected by an unmanned aerial vehicle, extracting the color feature, HSV feature, texture feature and shape feature of the image, and inputting the features to a support vector machine to detect possible pests and diseases in the process of growth. The plant pest and disease image is detected by combining multi-feature fusion and the support vector machine. For different plants and different pests and diseases, plant pest and disease detection can be carried out using the method. Moreover, the method is real-time, accurate and practical.

A computer aided disease detection system and method for multiple organ systems. The method performs computer aided examination of digital medical images. A patient exam type of a digital medical image is determined. Based on the patient exam type, one or more of a plurality of knowledge based anatomical segmentation blocks are invoked, each block performing image segmentation for a single organ or organ system present in the image. Based on the patient exam type, for each successfully segmented organ or organ system, one or more of a plurality of knowledge based computer aided detection blocks are invoked, each block of which is designed to search for and locate potential disease foci in a particular organ or organ system.

The present invention provides a new method and device for disease detection, more particularly cancer detection, from the analysis of diffuse reflectance spectra measured in vivo during endoscopic imaging. The measured diffuse reflectance spectra are analyzed using a specially developed light-transport model and numerical method to derive quantitative parameters related to tissue physiology and morphology. The method also corrects the effects of the specular reflection and the varying distance between endoscope tip and tissue surface on the clinical reflectance measurements. The model allows us to obtain the absorption coefficient ([mu]a) and further to derive the tissue micro-vascular blood volume fraction and the tissue blood oxygen saturation parameters. It also allows us to obtain the scattering coefficients ([mu]s and g) and further to derive the tissue micro-particles volume fraction and size distribution parameters.

A deep learning based hand-foot-and-mouth disease detection system comprises a neural network model training module and a hand-foot-and-mouth disease detection module. A convolutional neural network model is constructed through the neural network model training module on the basis of a hand-foot-and-mouth disease sample set, and a hand-foot-and-mouth disease neural network diagnosis model is obtain by analysis of images in the hand-foot-and-mouth disease sample set. On the basis of input images, the hand-foot-and-mouth disease detection module judges to obtain hand-foot-and-mouth disease diagnosis results through the neural network diagnosis model. By application of the deep learning technology to automatic diagnosis of the hand-foot-and-mouth disease, a hand-foot-and-mouth disease detection core problem is transformed into a target detection problem, and detection result accuracy is improved by autonomous optimization.

A computer aided disease detection system and method for multiple organ systems. The method performs computer aided examination of digital medical images. A patient exam type of a digital medical image is determined. Based on the patient exam type, one or more of a plurality of knowledge based anatomical segmentation blocks are invoked, each block performing image segmentation for a single organ or organ system present in the image. Based on the patient exam type, for each successfully segmented organ or organ system, one or more of a plurality of knowledge based computer aided detection blocks are invoked, each block of which is designed to search for and locate potential disease foci in a particular organ or organ system.

The invention provides a tunnel image splicing method and a tunnel image splicing system; the method and the system are used for carrying out splicing on an image collected by each camera in a tunnel image collection system; the tunnel image collection system comprises multiple cameras and a laser scanner; when carrying out the splicing on the tunnel images obtained by all cameras via single exposure on a certain section, the method comprises the following steps: working out an object distance corresponding to each of the cameras based on data of the laser scanner, carrying out normalization processing on the image collected by each camera, projecting all to-be-spliced images to a cylindrical surface, adopting SIFT (Scale Invariant Feature Transform) characteristic matching and obtaining matching points, calculating an initial transformation matrix, simplifying and extracting translation parameters to obtain a final transformation matrix among images, unifying a coordinate system, and fusing the images to obtain the splicing reconstructed smooth seamless tunnel image. The technical scheme disclosed by the invention has the advantages of fast splicing speed, relatively high splicing precision, high robustness, strong practicability and the like, and is convenient for subsequent tunnel disease detection.

A device and array coupled to capture molecules are provided. Specifically, the device and array can be used for detecting the presence and concentration of biomarkers in a sample from a subject. The device and array can also allow the use of a method for scoring a sample for, e.g., the purpose of diagnosing a disease. The method can also be advantageous to applications where there is a need to accurately determine the disease stage of a subject for the purpose of making therapeutic decisions.

The invention provides a rapid detection method based on gold magnetic particle-labeled immunochromatography, aiming at solving the problems that a detection method of a traditional immunity chromatography analysis method is easy to generate subjective differentiation and has low detection accuracy and sensitivity, complicated operation and narrow application field in clinical practice. The basic idea of the detection method is as follows: the gold magnetic particles coupled with an antibody, a ligand and an antigen can rapidly and quantitatively and high sensitively detect an assay in a matched working solution and an immunochromatography device in future. The detection method can interpret visually according to the characteristic colors of the gold magnetic particles and can detect the assay quantitatively according to the strength of the signals of the gold magnetic particles, is simple, has low cost, and can realize disease detection on human and animals and plants, environmental detection, food safety detection, drug and medicine abuse detection and the like.

Detection of cells with molecular marker compartmentalization associated with malignancy and / or disease including a cancer by obtaining a cell sample and suspending cells (1) in a solution (100). The cells are fixed (102). A molecular marker is labeled with tagged molecular probes (103). A cell (1) is illuminated with a point source of light (104), and different projection images are obtained with a digital array detector (105). The projection images are compensated for variations in illumination (106), and analyzed to detect a labeled molecular marker having densitometric and location features (107). The location of the molecular marker is analyzed (108), and compartmentalization of the molecular marker is measured using the densitometric and location features (109). Compartmentalization of the labeled molecular marker with at is analyzed using a classifier for the detection of malignancy and / or disease associated molecular marker-compartmentalization (110).

The invention discloses a bridge detecting robot based on negative-pressure absorption. The bridge detecting robot consists of an absorption control module, a motion control module, a disease detection module and a light outer shell, wherein the absorption control module comprises a sealing cavity, a negative-pressure generation device, an air-pressure sensor, a single-chip-microcomputer main control board, a wireless instruction transmission module, a wireless instruction transmission module and a remote control device; the motion control module comprises four moving wheels, four steering engine drivers, a single-chip-microcomputer main control board, a wireless instruction transmission module, a wireless instruction transmission module and a remote control device; the disease detection module comprises a camera unit and a ground image processing unit; and the light outer shell is fixed by wire binding belts which penetrate through the installing holes on the front edge and the rear edge of a supporting bottom plate, and the negative-pressure generation device, the air-pressure sensor, the single-chip-microcomputer main control board, the wireless instruction transmission modules, the wireless instruction transmission module and the four steering engine drivers are put into the outer shell. The bridge detecting robot disclosed by the invention has the advantages that the anti-wind capability is strong, the working efficiency is improved, the detection period is shortened and the safety risk is also greatly reduced.

The present invention relates to a device and method for the detection of mastitis or other disease from a body fluid of a mammal for example from cow's milk. The device and method relates to a wedge microfluidic chamber for using a minimal amount of fluid and being able to use the device to observe leukocytes in a mono-layer for the purpose of disease detection, cell counts or the like.

The invention discloses a multi-passband filtering method of railroad bed disease detection ground penetrating radar signals. The filtering method comprises steps of automatically acquiring roadbed original radar data through a vehicle-mounted roadbed detection radar; extracting radar reflection signals at joints of all scanning channel sleepers so as to form a digital sequence, and obtaining frequency spectrum features of the sleepers and the rail strong reflection interference signals by carrying out frequency spectrum analysis on the digital sequence; designing a multi-passband filter used for inhibiting strong interference of the sleepers and the rails; and using the filter to successively filter the radar signals according to sampling points so as to remove interference signal. According to the invention, by analyzing the strong reflection interference signals of the rails and the sleepers in the railroad bed disease detection ground penetrating radar signals for the first time, sleeper identification device is not required, radar signal acquisition is carried out without avoiding the rails, and the multi-passband filter designed on the basis of strong interference frequency spectrum features of the rails and the sleepers is used for removing strong reflection interference of the sleepers and the rails, the signal to noise ratio of reflection radar signals of the roadbed medium is improved.

The invention discloses a pavement disease detecting and recognizing method based on a wireless online video sensor, which includes: acquiring an expressway pavement disease video image and locating the disease position; preprocessing the video image and extracting a disease target area; and extracting expressway pavement disease texture features by means of HGM (hollow glass microsphere) multi-wavelet transform. Using the pavement disease detecting and recognizing method based on the wireless online video sensor can detect primary conditions of pavement diseases in real time, track the development situations of the diseases and analyze development trends of the pavement diseases, and the method is high in instantaneity and detection efficiency. In addition, applying the method to expressway pavement disease detection can save expressway maintenance cost, guarantee traffic safety and prolong service life of roads.

The invention relates to a vehicle-mounted subway tunnel disease data automatic acquisition system which comprises an image acquisition device, a distance measurement instrument, a motor assembly, a central control main board, a storage battery power supply, a lighting device, a mounting bracket, an encoder, a main control computer and a flat-bed trailer. The central control main board is respectively connected with the image acquisition device, the distance measurement instrument, the motor assembly, the encoder and the main control computer; the motor assembly is connected with the distance measurement instrument; the lighting device is connected with the storage battery power supply; and the mounting bracket and the lighting device are arranged on the flat-bed trailer. When the vehicle-mounted subway tunnel disease data automatic acquisition system works, the central control main board controls the image acquisition device to acquire a subway tunnel image in real time, the motor assembly drives the distance measurement instrument to measure a real-time position of the image acquisition device and records the real-time position, the encoder calculates a running distance of the flat-bed trailer and acquires current longitudinal positioning data of the image acquisition device and the central control main board reads the data and then sends the data to the main control computer. Compared with the prior art, the vehicle-mounted subway tunnel disease data automatic acquisition system has the advantages of information acquisition accuracy, high disease detection working efficiency and the like.