18 results about "Timely diagnosis" patented technology

The invention relates to the technical field of medical instruments, in particular to an automatic association test method and system, and aims to reduce unnecessary test items, shorten detection time and improve detection efficiency. Through intelligent judgment and optimization of detection items, excessive detection is avoided, the examination cost of a patient is reduced, and the economic burden is relieved; manual intervention is reduced, and the detection efficiency is improved; the detection items are automatically increased or decreased according to the preset rule, so that the time waste of secondary application test is avoided, and the detection efficiency is improved. The test is reduced without influencing the clinical diagnosis, and meanwhile, the detection items can be intelligently added according to the rule, so that waste and aggravation of the economic burden of the patient caused by excessive test and examination are avoided, the potential diagnosis risk caused by missing of the additional detection items set in the rule is avoided, and the illness state can be diagnosed in time. Therefore, the problem of resource waste caused by excessive detection in traditional detection is solved.

The invention relates to the technical field of sepsis monitoring, and discloses a sepsis monitoring method and system based on multi-modal data, and the method comprises the steps: setting a plurality of sepsis patient types based on influence factors, and generating a plurality of disease course period sequences which comprise a plurality of disease course periods, each disease course period is mapped with a corresponding multi-modal data set; comparing and analyzing the multi-modal data sets of the plurality of disease course cycle sequences to obtain feature data of each disease course cycle, change features of each feature data and a weight coefficient, and constructing a sepsis monitoring model; the real-time characteristic data of the to-be-monitored patient is obtained and input into the sepsis monitoring model, the monitoring result is obtained, whether the early warning instruction is generated or not is judged, the complexity of sepsis and the individual difference of the patient are fully considered, the monitoring accuracy is improved, and powerful support is provided for timely diagnosis and treatment of the sepsis patient.

The present application provides an intelligent monitoring and diagnosis method, a vehicle-mounted central control system, a diagnostic system, and a vehicle. The method includes obtaining the vehicle's current state type in response to receiving abnormal health status information of a target user sent by a smart home monitoring device; determining the information type corresponding to the abnormal health status information; and generating and sending health status information corresponding to the abnormal health status information based on the vehicle's current state type and the information type. The intelligent health monitoring and diagnosis method provided in the present application can promptly send the abnormal health status information of the target user to relevant personnel associated with the target user, so that the relevant personnel can promptly understand the abnormal health status of the target user, thereby enabling the target user to receive timely diagnosis and treatment with the help of relevant personnel, thereby avoiding the dangerous situation where the target user cannot receive timely help and diagnosis due to abnormal health.

The invention provides a wearable wireless stethoscope early warning device for monitoring acute attack of an asthma patient, the wearable wireless stethoscope early warning device comprises a vest, a first binding belt and a second binding belt, the first binding belt and the second binding belt are arranged on two sides of the vest, two adjusting belts are arranged above the vest, and the two adjusting belts are connected with the vest; a miniature sound signal sensor, a miniature lung sound discriminator and a signal microprocessor are arranged in the vest, the miniature sound signal sensor is used for collecting breathing sound signals, and the miniature lung sound discriminator is used for recognizing dry rale, wet rale and normal breathing sound. The breathing sound of an asthma patient, especially a child patient, is monitored in real time, abnormal breathing sound characteristics are accurately recognized, timely early warning of acute attack is achieved, by means of wireless transmission and a remote diagnosis technology, a doctor can remotely obtain illness state information of the patient, timely diagnosis and treatment guidance is provided for the patient, and the patient experience is improved. The risk caused by acute attack of asthma is reduced, and the health management level of patients is improved.

This proposal discloses the field of medical testing technology, and particularly relates to a marker for non-alcoholic fatty liver disease and its application. The sequences of the markers are shown in SEQ ID No. 1, SEQ ID No. 2, SEQ ID No. 3, and SEQ ID No. 4. Any of the markers shown can be used to prepare a preparation or detection tool for treating or assisting in the treatment of non-alcoholic fatty liver disease. It can quickly determine whether a patient is at risk of developing non-alcoholic fatty liver disease or whether non-alcoholic fatty liver disease has already occurred, allowing for timely diagnosis or treatment. Furthermore, compared to existing detection methods, the detection reagents or tools prepared using the markers are less expensive and more efficient, and will not adversely affect the patient during the detection process.

The invention discloses an intelligent medical remote diagnosis system based on multi-source data fusion, and relates to the field of intelligent medical treatment, and the system comprises a sensing module which is used for configuring an operation cycle, and sensing the physical state information of a user in real time based on the operation cycle; the screening module is used for traversing the user body state information sensed by the sensing module, and screening effective information from all the user body state information; according to the system, various physical state information related to sleep is collected in real time, including electroencephalogram, electrocardiogram, oxygen concentration and the like, so that the sleep condition of a patient is comprehensively monitored, the system adopts specific screening and analysis methods in data processing, key information can be accurately extracted, sleep risks can be deeply analyzed, and the sleep quality of the patient is improved. By means of recording and comparison of historical analysis results, the system can timely diagnose whether the current sleep of the patient has risks or not and can also judge whether the patient has risk tendency or not.

The present application relates to a kind of multiplex immunohistochemistry image generation method, comprising: obtaining H&E dataset and paired mIHC dataset and pre-processing;mIHC generation model is constructed;mIHC generation model is trained;H&E image in test set is input to the mIHC generation model after training and obtains the generated mIHC image result, and the generation result of mIHC image is visualized.The present application can quickly and accurately obtain mIHC image by mIHC generation model using easily obtained H&E image, and avoids traditional chemical dyeing process, reduces the cost of obtaining mIHC image, provides convenient and accurate tool for the acquisition of mIHC image, to provide pathological information such as cancer, and can shorten the diagnosis and analysis cycle of disease, is conducive to the timely diagnosis and treatment of patient;The mIHC image generated by mIHC generation model using H&E image and H&E image are strictly registered, so H&E image and mIHC image can be accurately combined to diagnose disease, to improve the accuracy of disease diagnosis analysis.

The invention relates to the technical field of auxiliary bone marrow paracentesis equipment, in particular to a portable auxiliary bone marrow paracentesis ultrasonic positioning instrument which comprises an ultrasonic probe module, an image processing unit, a positioning algorithm module, a mechanical positioning device, a user interaction interface and a power management module. The method has the advantages that by means of the ultrasonic technology, the anatomical structure of the bone marrow puncture part is clearly displayed in real time, doctors are helped to accurately determine the puncture point, the needle inserting angle and depth, puncture accuracy is remarkably improved, important tissue is prevented from being punctured by mistake, the success rate is increased, and the method is especially suitable for patients with complex anatomical structures or obesity and the like with high puncture difficulty; the instrument is portable in design, small in size, light in weight and convenient to carry and move, can be used at any time in various scenes such as wards, operating rooms, emergency rooms and temporary medical points in remote areas, is not limited by fixed sites, improves the utilization efficiency of medical resources, and provides convenience for timely diagnosis of patients.

The utility model relates to the field of excrement collection, in particular to a household excrement sample collection structure, which comprises a box body, a collection tube and a lining, sample collection codes are arranged on the box body, a bar code strip I is adhered on the surface of the box body, the collection tube is arranged on the lining, and the lining and the collection tube are arranged inside the box body. The collecting tube comprises a transparent tube body, a screw cap and a spoon, a bar code strip II consistent with the bar code strip I in information is adhered to the surface of the transparent tube body, the spoon is fixed on the lower side in the screw cap, the screw cap is in threaded connection with the transparent tube body, two groups of through holes are symmetrically formed in the screw cap, sealing films are arranged in the through holes, and two groups of sealing covers are rotationally connected to the top of the screw cap; the diameter of the sealing cover is larger than that of the through hole, opening and closing of the corresponding sealing cover and insertion and extraction of the sealing film penetrating through the inner side are controlled, cover opening is not needed in the whole process, peculiar smell emission is reduced, and by means of the collecting structure, the sampling process is simplified, the detection efficiency is improved, timely diagnosis and treatment of a patient are guaranteed, medical resources are optimized, and medical experience is improved.

The application relates to a flow meter calibration method, device, computer equipment and storage medium, which comprises the following steps: acquiring characteristic data of a target flow meter, wherein the characteristic data comprises acceleration and flow value of the target flow meter; determining whether the state of the target flow meter is abnormal according to the characteristic data; if the state of the target flow meter is abnormal, determining a diagnosis parameter of the target flow meter according to the characteristic data; and searching for an abnormal reason corresponding to the diagnosis parameter in a pre-established diagnosis database according to the diagnosis parameter, wherein the diagnosis database comprises a mapping relationship between diagnosis parameters and abnormal reasons of a template flow meter. The above method can monitor and record abnormal vibration data of the target flow meter in real time, and can diagnose the reason for the abnormal vibration of the target flow meter in a timely manner.

This invention discloses an IoT-based smart agricultural product pest and disease diagnosis system and method, belonging to the field of smart agricultural product technology. To address the problem of the wide variety of crop pests and diseases, and the potential for poor identification of rare or newly emerging pests and diseases, the IoT-based smart agricultural product pest and disease diagnosis system includes an image acquisition unit, a feature extraction unit, a diagnostic decision-making unit, and a remote interaction unit. The image acquisition unit uses cameras and sensors deployed in the farmland to capture real-time image data of the crop growth environment and pests and diseases, ensuring timely diagnosis. The feature extraction unit establishes a pest and disease feature database and constructs a key feature recognition model, achieving intelligent processing of pest and disease images, identifying and diagnosing multiple pest and disease types. The remote interaction unit improves user convenience, reduces the cost of manual inspection and diagnosis, increases agricultural production efficiency, and improves crop yield and quality.

This invention discloses a deep learning-based electrocardiogram (ECG) image classification method and system, belonging to the field of intelligent medical and image classification technology. The technical problem this invention aims to solve is how to utilize deep learning to classify and predict ECG images, reducing the workload of professional physicians while improving the accuracy and effectiveness of ECG image classification, thus providing effective assistance for timely diagnosis of patients' conditions. The technical solution adopted is as follows: The method specifically involves: selecting ECG images; performing denoising preprocessing on the ECG images; extracting waveform feature points from the denoised ECG images; classifying the images using a support vector machine (SVM) model and a linear regression model; and predicting the ECG images to be classified using a long short-term memory (LSTM) model.

The application belongs to the technical field of medical diagnosis, and specifically discloses a diabetes mellitus combined with tuberculosis marker and application thereof. It is found for the first time that the transcription level and protein level of activin A receptor 2A (ACVR2A), angiostatin and chemokine ligand 14 (CXCL14) are inversely proportional to the severity of diabetes mellitus combined with tuberculosis, and can be used as a diabetes mellitus combined with tuberculosis marker to indirectly reflect whether the crowd is suffering from diabetes mellitus combined with tuberculosis and the development of the disease, so as to timely diagnose and treat. A new diabetes mellitus combined with tuberculosis detection kit can be prepared according to the three markers, and is applied to public medical treatment. The three markers can effectively improve the diagnosis efficiency of diabetes mellitus combined with tuberculosis, and have high sensitivity and strong specificity.

The invention discloses a head and neck cancer prediction method, system and equipment. On the basis that found IL-21R shows significant difference and related functions in the head and neck cancer, the invention provides a method, a system and equipment for predicting the head and neck cancer / computer-aided medicine screening based on the IL-21R, a computer readable storage medium and a computer program product, a new thought is provided for timely diagnosis and effective treatment of the head and neck cancer, and the method, the system, the equipment, the computer readable storage medium and the computer program product have wide application prospects. Wide application prospects are realized.

The utility model relates to the technical field of medical instruments, in particular to an instant heating type constant-temperature heating and storing monitorable contrast agent device which comprises a storage box, a storage assembly is fixedly connected in the storage box and is formed by combining a plurality of heating mechanisms, the left end and the right end of the storage box are both movably connected with connecting handles, and the connecting handles are movably connected with the storage box. A turning cover is movably connected to the rear portion of the upper end of the storage box, a clamping block is fixedly connected to the front end of the turning cover, and a buckle is fixedly connected to the upper portion of the front end of the storage box. According to the instant heating type constant-temperature heating and storing monitorable contrast agent device, a contrast agent can be instantly heated, the instant heating function can quickly heat the contrast agent to a proper temperature when the contrast agent needs to be used, long-time preparation or waiting in advance is not needed, the time of medical operation is saved, the working efficiency is improved, and the working efficiency is improved. Particularly, under the condition of emergency radiography examination, a contrast agent with a proper temperature can be quickly provided for a patient, and timely diagnosis and treatment are facilitated.

The invention discloses a method, a system and equipment for predicting esophageal cancer. The invention provides a method, a system, equipment, a computer readable storage medium and a computer program product for predicting esophageal cancer / predicting esophageal cancer prognosis / predicting esophageal cancer immune curative effect on the basis of discovered significant difference and related functions of CD39 in esophageal cancer, and provides a new thought for timely diagnosis and effective treatment of esophageal cancer. Wide application prospects are realized.

The present application relates to the field of electric meter remote monitoring, more particularly, the present application relates to the electric meter remote fault diagnosis method and system based on internet of things, the method comprises: obtaining all historical fault sequences corresponding to each fault type; the period of each historical fault sequence is calculated and the probability of each period appearing, and based on the historical fault sequence corresponding to a single period, the template sequence of the period is generated; the real-time parameter time sequence of the electric meter is collected, the similarity of the real-time parameter time sequence and the template sequence of each period corresponding to the fault type is calculated, the calculated similarity is weighted and summed according to the probability of each period appearing, and the real-time fault probability of the fault type is obtained; when the real-time fault probability is greater than the preset fault threshold, the diagnosis result of the corresponding fault type of the electric meter is output. The present application can more comprehensively and accurately describe the complex evolution law of the fault, and realize the remote and timely diagnosis of the electric meter fault.

This disclosure provides a device and a method for combining a lumbar puncture needle and an ultrasonic density detection circuitry to provide an inexpensive and accurate lumbar puncture locator device. The disclosed device senses different tissue densities with different frequency tones and colored light indicators before needle insertion in the patient's lumbar vertebrae region. This invention allows a doctor, a nurse practitioner or a physician assistant to safely do a lumbar puncture in an office environment without the scheduling of the use of the radiology department. This device will allow a timelier diagnosis of infections (such as Lyme disease, bacterial and viral meningitis, herpes, West Nile virus, syphilis), multiple sclerosis, Alzheimer's dementia, tumors, idiopathic intracranial hypertension, subarachnoid hemorrhage, and others.