197 results about "Health condition" patented technology

The invention relates to the technical field of health assessment, in particular to a traditional Chinese medicine health assessment method and system based on intelligent analysis, and the method comprises the steps: carrying out the multispectral image collection of the face and tongue picture of a user, carrying out the color gradation quantification processing and texture feature extraction of the obtained image data, and obtaining a face color gamut feature matrix and a tongue picture texture feature vector; and based on the tongue picture-complexion associated features and a syndrome description text input by the user, performing intelligent classification pre-judgment on traditional Chinese medicine syndrome types to obtain an initial syndrome label set, and based on user physique data, correcting the initial syndrome label set to obtain a syndrome feature fusion vector. Through the health fluctuation index and the health trend early warning signal, the change of the health condition of the user can be dynamically evaluated, and a personalized health intervention scheme is generated on the basis, so that the fluctuation of the health condition can be reflected in real time, intervention measures can be taken in time, and potential health risks can be prevented.

The invention relates to the technical field of data processing, and discloses an operation and maintenance task processing intelligent distribution management system and method based on data analysis, and the system comprises a data collection module; a life cycle analysis module; a task plan making module; an operation and maintenance personnel task distribution module; and a path planning and dynamic adjusting module. Based on data analysis, in combination with the equipment operation state, the skill of the operation and maintenance personnel and the load condition, the execution sequence and route of the operation and maintenance tasks are optimized through intelligent allocation and route planning, task allocation and route can be dynamically adjusted according to the health condition of the equipment, the task priority and the real-time information of the operation and maintenance personnel, and the operation and maintenance efficiency is improved. The operation and maintenance task is efficiently and accurately completed, and the overall working efficiency and the resource utilization rate are improved.

The invention belongs to the technical field of sleep quality analysis, and particularly relates to a sleep quality analysis system and method based on a medical bed sensor, so as to solve the technical problem that an existing method excessively depends on duration statistics and neglects sleep continuity and periodic rhythmicity. The analysis method comprises the following steps: S1, acquiring sign signal data acquired by a sensor on a medical bed in a sleep cycle, and dividing the sign signal data into a plurality of continuous time slices; s2, extracting physiological indexes of respiratory rate, heart rate and body movement amplitude in each time slice, and calculating variation depth of the corresponding time slice; s3, generating a variation depth baseline; calculating an unsteady state disturbance factor according to the occurrence frequency and the duration of the micro-awakening disturbance fragment; and S4, generating a sleep quality comprehensive score. According to the analysis method, the comprehensiveness and objectivity of the evaluation result are improved, and the sleep health condition is reflected more truly.

The invention relates to the field of digital twin driving, and discloses an electric actuator energy consumption optimization method and system based on digital twin driving, and the method comprises the steps: collecting the current, torque, rotating speed, temperature, vibration and environment wind speed data of an electric actuator in real time, carrying out the online recognition of the thermal-friction coupling parameters of the actuator through a multi-scale sliding window method, and carrying out the online recognition of the thermal-friction coupling parameters of the actuator; the operation state of the actuator is dynamically updated in combination with the load damping change and the long-term health condition; the load evolution trajectory of the actuator is extracted, transient fluctuation and long-term degradation trend analysis are combined, and the energy consumption deviation and the performance bottleneck existing in the operation process of the actuator are recognized; according to the method, related actuator components and mutual influences thereof are comprehensively analyzed, parameters, feature weights and updating frequencies of the digital twin model are dynamically adjusted, and a real-time energy consumption optimization control strategy is generated. The method has the advantage that the real-time response capability and the long-term self-adaptive precision are improved.

A driver support system includes: an acquisition unit that acquires biometric data of a driver of a moving object; an evaluation unit that evaluates a health condition of the driver; and an interactive response unit that executes an interaction operation for interactive response with the driver using an HMI device mounted on the moving object, the evaluation unit being configured to; when estimating based on the biometric data for the driver that the health condition of the driver is poor, instruct the interactive response unit to execute the interaction operation, thereby acquiring a response input, which is a response of the driver to a response facilitating output that facilitates the driver to respond in the interaction operation; and determine the health condition of the driver based on a degree of suitability of the response input to the response facilitating output.

The invention belongs to the technical field of medical equipment, and particularly discloses a pregnancy monitoring method and system based on multi-mode signals, and the method comprises the following steps: synchronously collecting multi-mode physiological signals of a fetus and a maternal body; based on the synchronously collected multi-modal physiological signals, multi-channel feature extraction is carried out; on the basis of the extracted multi-channel features, screening out a feature subset with the most discriminant ability by using feature engineering; and inputting the feature subset into a pre-trained machine learning model, and outputting starting and ending of single fetal movement time, duration, fetal movement type and strength and maternal physiological features. By adopting the technical scheme, multi-mode synchronous acquisition is realized, high-sensitivity and high-specificity detection on fetal movement events and physiological characteristics and states of a mother are realized by adopting a characteristic engineering and machine learning model, non-invasive and harmless real-time monitoring on health conditions of the fetus and the mother is realized, and when the mother or the fetus is abnormal, intelligent remote alarm is realized, so that the safety of the fetus is improved. And a guarantee can be better provided for the health of fetuses and maternal bodies.

The invention relates to the technical field of equipment management, in particular to a dynamic evaluation method and system for the health condition of a refrigerating unit, and the method comprises the steps: constructing a refrigerating capacity and energy efficiency ratio prediction model through a gradient lifting regression tree algorithm, and training a high-precision reference through the full utilization of historical data; a stable and reliable prediction reference and a data analysis basis are provided for subsequent dynamic evaluation; a static model is converted into a dynamic model responding to a real-time working condition, real-time evaluation on the performance of the refrigerating unit is achieved, and meanwhile, the sensitivity and accuracy of state monitoring are effectively improved by combining degradation degree cooperative calculation; the real-time score of the refrigerating unit is compared with the preset judgment threshold value, so that the health state of the refrigerating unit can be quickly and accurately judged; when it is detected that the refrigerating unit is in the abnormal state, the model updating period and the sensor sampling frequency can be dynamically adjusted, and it is ensured that more accurate and timely data are obtained at the critical moment.

Disclosed are a method, system, and apparatus of a biometric sensor of a tactical gear to monitor health and stress of a wearer. In one embodiment, personal protective equipment includes a language translator module integrated in a tactical gear, a biometric sensor, and a responsive device integrated in the tactical gear. A wearer bi-directionally communicates with an individual in an ambient environment using any language other than a primary language spoken by the wearer when the language translator module is activated. The biometric sensor detects the health condition of the wearer. The responsive device vibrates to notify the wearer when the biometric sensor detects an elevated stress level of the wearer of the tactical gear. The biometric sensor is detachable from the tactical gear and placeable on an injured person nearby to the wearer through an armband extendable from the biometric sensor when it is removed from the tactical gear.

The present disclosure provides generally for a therapeutic oral device for assessing one or more health aspects of a user and / or alleviating one or more health conditions of a user, and associated methods for using the device. The device may comprise a hard palate portion, a mouth guard portion, and a tongue retainer portion. The hard palate portion may comprise one or more materials. The hard palate portion may also comprise a composite of materials. The mouth guard portion may comprise one or more components that provide stability and maintain the position of the therapeutic oral device within the mouth of a user. The tongue retainer portion may comprise an airway and a predetermined length. In some embodiments, the therapeutic oral appliance may comprise a mandibular mouth guard portion.

The invention provides a method and a system for reading human body pulse health data based on a face video. The method comprises a method for reading the human body pulse health data and a pulse condition health intelligent detection system. The invention discloses a method for reading human pulse health data based on a face video. The method comprises the steps of S1, collecting the video, S2, positioning and tracking an area of interest, S3, extracting a photoelectric volume pulse wave PPG original signal, S4, carrying out pulse wave signal denoising processing, S5, carrying out pulse wave signal feature analysis, S6, carrying out a mixed feature selection algorithm, S7, carrying out optimal feature classification, and S8, outputting a pulse condition classification analysis result. The pulse condition health intelligent detection system comprises a physiological acquisition layer, a signal transmission layer, a cloud server layer and an application interaction layer. The method is convenient and fast to operate, can visualize the physiological indexes such as the pulse condition of the human body, helps a user of the health detection system to conveniently and timely know the own physiological health condition and timely see a doctor for treatment under the condition that the body has a health problem, and reduces the delay of an illness state.

The application discloses a kind of key feature transformer health state detection systems, it is related to power equipment monitoring technical field, including: data acquisition module, data processing module, confidence calculation module, fault determination module and result output module;Data acquisition module synchronously acquires transformer oil tank surface vibration signal and neutral point direct current data;Data processing module calculates the phase difference of vibration signal and the coherence coefficient of vibration signal and direct current data;Confidence calculation module calculates mechanical fault confidence;Fault determination module judges whether mechanical fault confidence exceeds preset threshold, exceeds and then carries out winding loosening positioning processing, generates loosening coordinate;Otherwise, the multi-band resampling of vibration signal is carried out and the coherence coefficient data is recalculated;Result output module outputs loosening coordinate or interference warning signal;The application can improve the accuracy of transformer health state detection, ensure the reliability of fault positioning.

A machine learning prediction system can analyze a dataset of users with self-reported symptoms and associated data from a wearable device to impact measure the impact of an acute health condition (such as the flu) at the population level. The machine learning prediction system can train a machine learning model to recognize individual acute health condition patterns based on differences in user activity with respect to the characteristics of determined baseline periods. For example, per-individual normalized change with respect to baseline aggregated at the population level can be used to determine individual acute health condition patterns and predict the onset of certain acute health conditions using a trained machine learning model. In response to predictions, the machine learning prediction system can take interventions to manage the impact of a predicted acute health condition on an individual.

Methods of treating a health condition by standardizing patients and donors with pre-treatment protocols to enhance the effects of probiotic administration, improving preservation steps of samples handled, and selecting best matching donors for selection for probiotic administration to effectively treat the health condition.

Methods and systems for flowing a progression of an adverse health condition using reflection through a digital communication network (DCN) are provided. A DCN is provided for a plurality of members of a population to communicate with each other and communications from an individual member are analyzed. A time to transmit an automated communication to the individual member is determined and the automated communication is transmitted to the individual member at the determined time. The automated communication requests that the individual member respond indicating a current level of at least one of a psychological or physiological measurement. A response from the individual member is received through the DCN.

An object of a system according to an embodiment is to enable a user to easily grasp his or her health condition and obtain appropriate advice.SOLUTION: A system includes a measurement unit including a bioimpedance sensor, a measurement unit including an infrared sensor, an analysis unit, and a provision unit. The measuring unit including the bioimpedance sensor measures the body fat percentage of the user. The measurement unit including an infrared sensor measures a skin temperature. The analysis unit analyzes the data measured by the measurement unit. The providing unit provides a comment and advice to the user on the basis of the analysis result obtained by the analysis unit.SELECTED DRAWING: Figure 1

The application discloses a kind of power transformer health state determination methods, including obtaining the attribute data of power transformer;Attribute data is normalized and corresponding grey correlation coefficient is calculated;The weight value of attribute data information is calculated using analytic hierarchy process, and grey correlation degree value is calculated;The attribute of power transformer is divided into health grade and the priority of each health grade is determined by comparison;Health grade is associated with grey correlation degree value to construct fuzzy logic control rule;The health state determination of actual power transformer is carried out using fuzzy logic control rule.The application also discloses a kind of system for realizing the power transformer health state determination method.The application obtains and processes the data of power transformer, and predicts the state of power transformer based on analytic hierarchy process and grey correlation analysis scheme, so that the application can not only realize the health state determination of power transformer, but also has high reliability and good accuracy.

A system configured for use in diagnosing a respiratory health condition of a patient comprising: processor configured to: provide image data of lungs of a patient; derive two or more features from the image data; combine the two or more features to produce a composite feature; use the composite feature to diagnose the presence of a respiratory health condition in the lungs of the patient.

The present application relates to the technical field of training scheduling, in particular to a basketball training intelligent scheduling system, which comprises a performance deviation analysis module, a health condition evaluation module, a training scheduling adjustment module and a training effect analysis module. The present application analyzes the training performance data of athletes, identifies their specific weaknesses in skills, reasonably evaluates the importance of each skill according to the role played by athletes in the team, sorts the training priorities, ensures the optimal allocation of training resources, discovers health problems or potential injury risks in time by comparing the physiological data of athletes with the average level of athletes in the same position, makes the training adjustment more scientific and safe, continuously monitors the training effect and analyzes the effect, enables the coach to quickly capture possible problems in training, adjusts the strategy in time, effectively avoids excessive or insufficient training, and improves the safety and effectiveness of training.

A system is provided.SOLUTION: A system comprising: means for detecting a heart rate and a body temperature in real time by using a wearable device worn by a worker; means for transmitting the detected heart rate and body temperature to a server; means for analyzing the detected AI by using generated information and evaluating a health condition and a tiredness level of the worker in the server; and means for notifying the worker and a manager when an abnormality is detected based on an analysis result.SELECTED DRAWING: Figure 1

To provide a monitoring device capable of improving accuracy of abnormality detection of a crew.SOLUTION: A poor physical condition level determination unit 36 that determines whether or not to determine a poor physical condition level of the crew member 11 using the image information and the operation information, or the operation information, and when determining, determines the poor physical condition level of the crew member 11 based on at least one of the one or more specified face states of the crew member 11 and the operation handling abnormality information, and a notification unit 38 that notifies the crew member 11 of the poor physical condition state.SELECTED DRAWING: Figure 1

1. The name of the design product: non-invasive blood analyzer. 2. The use of the design product: for assessing the health condition of the human body without damaging the human body. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

Systems and methods for generating content for guided reflection are provided. A digital communication network (DCN) is for a plurality of members of a population to communicate with at least each other or the DCN. An individual member is identified with an adverse health condition. A request is transmitted to the individual member to select a topic of reflection from a plurality of topics of reflection corresponding to the adverse health condition. Content is automatically generated comprising at least one of audible content, visual content, or an audible and visual content based on the selected topic of reflection. The content is designed to cause the individual member to connect an outcome experienced by the individual member with a decision the individual member has made. A communication is generated and transmitted to the individual member that includes the content and the selected topic of reflection.

The invention relates to the technical field of breeding, in particular to a three-dimensional pig health monitoring method and system based on deep learning, which replace traditional subjective observation depending on artificial experience through automatic acquisition of an inspection robot and real-time analysis of edge calculation, and realize 24-hour uninterrupted and objective monitoring of pig health conditions. Specifically, video, audio and environmental data are subjected to multi-dimensional fusion analysis by using deep learning, and abnormal behaviors, cough indexes and environmental risks of pigs can be accurately and timely identified, so that potential health problems can be found in an early stage, and the automation degree of monitoring, the timeliness of early warning and the accuracy of judgment are remarkably improved; manual dependence and misjudgment risks are effectively reduced, and an efficient and low-cost intelligent solution is provided for disease prevention and control and health management of large-scale breeding.

The invention discloses an electric power operation safety physiological state assessment method based on multi-task deep learning, and the method comprises the steps: building a multi-task learning model frame based on deep learning through collecting and analyzing a physiological data signal of an operator, and enabling a model structure to be a shared network layer composed of Transform-Encoder and LSTM and a task specific layer with four task heads, the multi-task loss function with the regularization item is utilized, model parameters are optimized through a back propagation algorithm, comprehensive evaluation of the fatigue degree, the emotional state, the stress degree and the health condition of the operator is achieved, the limitation of single index evaluation is overcome, comprehensive evaluation closer to the real operation state is provided, and the working efficiency is improved. Potential safety risks are effectively recognized, so that the occurrence rate of electric power operation accidents caused by poor physiological states is reduced, and potential safety hazards are avoided.

In one embodiment, a method comprising: (a) receiving a set of physiological data associated with at least one health condition of an animal subject; (b) receiving a set of environmental data associated with one or more environment conditions to which the subject is or has been exposed; (c) determining a set of operating parameters for at least one environmental device based at least partially on at least a portion of the set of physiological data and at least a portion of the set of environmental data; and (d) transmitting the set of operating parameters to the at least one environmental device to at least partially control at least one controlled environmental condition to which the subject is exposed to thereby at partially control the at least one health condition.

The system of the embodiment aims to remotely monitor the health status of elderly people living alone and detect the risk of dementia and depression at an early stage. [Solution] A system according to an embodiment includes a voice recognition unit, a conversation recording unit, a health monitoring unit, and an alert unit. The voice recognition unit recognizes voices. The conversation recording unit records conversations based on the voices recognized by the voice recognition unit. The health monitoring unit monitors health conditions based on the conversations recorded by the conversation recording unit. The alert unit sends an alert for dementia or depression based on information monitored by the health monitoring unit.

The utility model discloses a bridge health monitoring support, including bridge body, the bottom surface of bridge body is installed with two support bridge piers, the bottom of two support bridge piers all is equipped with pouring subassembly, the top of two support bridge piers all is installed with support subassembly, the outer surface of two support bridge piers jointly installs installation subassembly, the upper surface of installation subassembly is installed with two connecting subassembly. The device is installed with installation subassembly and connecting subassembly between two support bridge piers, and a plurality of multidimensional force sensors are installed above the connecting subassembly, can make monitoring sensor away from the shock absorber of support top end, can make monitoring sensor can monitor bridge normal damage position to can more understand the health condition of bridge, therefore through the device effectively solved the current device because of installing monitoring sensor on the top of support to lead to the problem of not enough accurate to the data of monitoring.

Systems and methods for generating content for guided reflection are provided. A digital communication network (DCN) is for a plurality of members of a population to communicate with at least each other or the DCN. An individual member is identified with an adverse health condition. A request is transmitted to the individual member to select a topic of reflection from a plurality of topics of reflection corresponding to the adverse health condition. Content is automatically generated comprising at least one of audible content, visual content, or an audible and visual content based on the selected topic of reflection. The content is designed to cause the individual member to connect an outcome experienced by the individual member with a decision the individual member has made. A communication is generated and transmitted to the individual member that includes the content and the selected topic of reflection.

This application relates to a method, apparatus, and electronic device for diagnosing sub-health conditions in a refrigeration and heating system. The method includes: determining the energy efficiency deviation of the refrigeration and heating system based on its theoretical and actual energy efficiency values; determining the equipment influence rate of each device in the refrigeration and heating system when the energy efficiency deviation does not meet predetermined conditions; identifying a target device from among the devices based on the equipment influence rate; and detecting the related factors of the target device to determine whether the target device is faulty. This application solves the technical problem of low diagnostic efficiency in refrigeration and heating systems.

Disclosed is a method and apparatus for analyzing sleep and health status using radar. In an aspect of the present disclosure, an apparatus for analyzing sleep and health status using radar according to at least one of the various embodiments of the present disclosure may include a memory; a radar sensor for sensing movement data during sleeping of a user; and a processor configured to analyze the sleep and health status by obtaining data sensed by the radar sensor, wherein the processor may be configured to convert the data sensed by the radar sensor into a frequency domain and obtain respiratory activity waveform and heartbeat waveform data.