58results about How to "Convenient health management" patented technology

A current health profile for a user is monitored at a personal health monitoring system. The current health profile includes multiple monitored physical parameters and multiple monitored environmental parameters. Multiple actions for selection by the user are received at the personal health monitoring system. The multiple actions are prioritized according to the current health profile and designated allowances for the user at the personal health monitoring system, such that the personal health monitoring system aids the user in selecting from among the multiple actions in order to balance the comprehensive health of the user. Multiple tasks for scheduling in a user's electronic schedule are scheduled according to the current health profile and designated allowances for the user at the personal health monitoring system.

The invention discloses a health management system covering communities and families. The health management system comprises health monitoring equipment, input equipment, a storage operation server and visible terminal equipment which are connected with one another in a network data connection manner, and also comprises a front-end health management terminal, an information storage database, an information analysis module and a personal health recording platform. The health management system can record information of the physical health and the mental health as well as all types of information relevant to the health of a user in the whole life, digitally acquires the health relevance information of the user through advanced technologies of a computer, a network and the like and transmits and stores the information into a health archive server in an electronic manner. The user, a medical mechanism and a health protection mechanism can casually look up, search, count and maintain the self health information at any time anywhere; and fundamental guarantees can be provided for the health risk evaluation, the health management, the disease diagnosis and treatment, targeted health protection instructions and the like, so that the health is promoted, and the living quality is improved.

A health game apparatus produces, as a numerical value, a quantized biological index associated with a biological function or state from an electrical signal measured by a sensor detecting a biological signal, and considers the produced biological index to progress a game. The health game apparatus can conveniently perform a data input as data is directly inputted from the sensor and allow health management to be interestingly and continuously achieved through a game element coupled to the health management. The health game apparatus allows a host computer to manage the produced biological index and to manage game progress according to data inputted from a plurality of health game apparatuses. Thus, the health game apparatus enables persons having the same health problem to naturally form a community and enables health management to be interestingly performed in addition to an interest in the game.

The present invention discloses a wind turbine generator operation state identification method based on a DBSCAN. The method comprises the following steps: the step 1: collecting operation data of a wind turbine generator and basic parameters of the wind turbine generator; the step 2: performing data normalization processing of the wind turbine generator; the step 3: screening the shutdown data from the operation data according to the wind speed and the power data; the step 4: taking the wind speed, the power and the pitch angle data obtained through the normalization processing in the step 2 as the input data of the DBSCAN, and performing optimization of the model parameters of the DBSCAN clustering; and the step 5: obtaining the operation state identification result of the wind turbine generator according to the data classification results of the step 3 and the step 4.

The invention relates to a power converter for a switched reluctance motor of a battery-supercapacitor electric vehicle. According to the invention, a power converter topology, in which a battery and a supercapacitor are cascaded with an asymmetry half-bridge circuit of the switched reluctance motor through a three-switch series dual-input DC-DC converter, is adopted to act a main power converter of a battery-supercapacitor hybrid power electric vehicle switched reluctance motor driving system, a source end DC-DC converter can realize dual-source access of the battery and the supercapacitor, a rear-stage asymmetry half-bridge power converter is enabled to be adjustable in bus voltage, and a rear-stage asymmetry half-bridge power circuit can realize driving control for the switched reluctance motor. The power converter provided by the invention can realize requirements of battery-supercapacitor dual-storage energy input control and switched reluctance motor driving control simultaneously. In addition, the power converter effectively saves switch tube resources, can further reduce the system cost and the size, and has the advantages of high integration, light weight, low cost and the like.

The invention is a system platform and particularly relates toa resident health card based on entity card virtualization achieving method and system platform, comprising a cloud platform of resident health card, a residents health card service platform, a health card management platform, a mobile phone APP, a card reader and an HIS system, wherein the resident health card based on entity card virtualization achieving method and system platform intelligence cloud service, which is in high operation efficiency.

The invention discloses a dietary nutrition health survey and evaluation system based on smart equipment, and an implementation method thereof, solving the problem that the result for data survey by the prior art is not accurate, thus causing the total dietary nutrition and the health condition of a user are inconsistent with the practical condition of the user. The dietary nutrition health surveyand evaluation system based on smart equipment includes smart equipment, a core processor, a diet evaluation module and a health habit scoring module. The implementation method includes the steps: S1, collecting the dietary nutrition and health survey data of the user; and S2, summarizing, analyzing, calculating and evaluating the dietary nutrition and health survey data of the user. For the dietary nutrition health survey and evaluation system based on smart equipment, and the implementation method thereof, an improved version of food frequency questionnaire is built into the mobile smart equipment in an APP mode, and the content of the questionnaire includes the main food types, and other details, such as the daily frequency and the amount of consumption, and the standard food quantityof each measurement has a concrete measure gauge and an image to help the user correctly select the amount of each food consumed, thereby improving the compliance of the user and the accuracy of foodinformation collection.

Disclosed is a method of facilitating management of wellness of users. The method may include receiving at least one wellness goal associated with at least one user and at least one image representing the at least one user. Further, the method may include generating at least one avatar data associated with the at least one user based on the at least one image and transmitting the at least one avatar data to at least one display device associated with the at least one user. Further, the method may include receiving at least one user activity data from at least one user device associated with the at least one user. Further, the method may include generating at least one avatar update data based on the at least one user activity data and transmitting the at least one avatar update data to the at least one display device.

The invention discloses a blood sugar non-invasive detection instrument based on near infrared spectrum analysis and a realization method thereof. The detection instrument comprises a casing, an intelligent processor, a semiconductor laser module, an optical fiber coupler, a beam splitter, a flange, a signal processing circuit, a detection probe and a display, and is characterized in that the intelligent processor comprises an analog-to-digital conversion module, a CPU (central processing unit), a filtering module, a memory, a power supply module and a communication module; the detection instrument realizes non-invasive detection and analysis on the human body blood sugar on the basis of the human body blood sugar information obtained through near infrared spectrum analysis by using diffused reflection signals after two kinds of light sources are irradiated to the human body limb positions through the detection probe. The blood sugar non-invasive detection instrument has the beneficial effects that the structure of a light path transmission system is reasonable; the multi-time measurement is performed on the basis of the near infrared spectrum analysis; the average value is taken to reduce errors; the blood sugar non-invasive detection can be conveniently realized; the blood sugar information of a detected person can be stored; the blood sugar concentration change condition of the detected person can conveniently realize health management; the diagnosis and the treatment can be better performed.

The invention provides a method for simultaneously determining free thyroid hormones T3, T4, rT3 and cortisol in saliva, which comprises the following steps of performing ultrafiltration and centrifugation, selecting a filter membrane with a proper molecular weight cutoff limit range, removing protein and combined thyroid hormones and cortisol in the saliva, adding anti-adsorption reagents such as methanol according to a proper proportion, and overcoming the problem of serious adsorption in the detection process of free T3, rT3, T4 and cortisol in saliva. The four free thyroid hormones T3, rT3 and T4 and cortisol in saliva can be simultaneously and accurately detected at one time by utilizing a high performance liquid chromatography-tandem mass spectrometry analysis technology. The method has the advantages of high throughput, simplicity and convenience in operation, high treatment efficiency, low consumable cost, high accuracy and high sensitivity, and is convenient for clinical popularization and application.

The invention provides a method and device for predicting blood pressure. The method for predicting the blood pressure comprises the steps of configuring a neural network for predicting the blood pressure; training the neural network on the basis of preset multiple groups of training samples to obtain the trained neural network; and predicting blood pressure data of a human body according to the trained neural network. According to the method and the device, the blood pressure of the human body can be accurately predicted, and prevention and health management of diseases are facilitated.

A health and athletic monitoring system apparatus. The apparatus is located in proximity to the feet and has an attached receiver/transmitter and a sensor to obtain signals from the individual's body. The sensor remote-senses the data via a material.

A method for tracking health via feet with aid of a given tracking device including measuring electrocardiographic signals via feet and remote sensing measurement. A system of maintain analyzing and predicting health and athletics related data and sharing it with one individual or a group of ones thereof.

The invention discloses a sphygmomanometer system and a detection method. The sphygmomanometer system comprises a microphone; the microphone is electrically connected with a main controller, the main controller is electrically connected with a transmitter, the transmitter is electrically connected with a cloud server, and a cloud voice recognizer is electrically connected with the cloud server; the microphone is used for recording external voice and transmitting the external voice to the cloud server by means of the transmitter; the cloud voice recognizer identifies user identity information by means of the external voice, and notifies the cloud server to store blood pressure data in a storage unit corresponding to the user identity information; a pressure sensor is used for detecting the blood pressure data of a user; the main controller sends the blood pressure data to a loudspeaker, and the blood pressure data is then sent to the cloud server by means of the transmitter; a receiver is electrically connected with the cloud server and the loudspeaker; the receiver is used for receiving health advice information and data information which are fed back to the corresponding user identity information by means of the cloud server, and sending the same to the loudspeaker. The sphygmomanometer system can improve the use convenience and intelligence of blood pressure detection, and facilitates the health management for blood pressure.

An embodiment of the invention relates to the technical field of human health and discloses a method for measuring human health data and a bicycle. The method is applied to the bicycle and includes: detecting whether default trigger conditions are met or not, and if yes, acquiring weight information of a user and controlling handlebars of the bicycle to give out electrical signals, wherein the trigger conditions lie in that pressure on the left handlebar of the bicycle as well as the right handlebar of the bicycle and pressure on the seat is not zero, the pressure on the seat is the weight information of the user, and human resistance of the user is acquired through current value and voltage value in the electrical signals. According to the weight information and the human resistance of the user, the health data of the user is acquired, the health data can be measured by people using the bicycle, and health management is facilitated for people.

The invention provides a mechanical equipment multi-working-condition fault prediction method based on an attention mechanism, and the method comprises the following steps: 1), carrying out the preprocessing of data, carrying out the vectorization and normalization of original data, and carrying out the division through a sliding time window; 2) embedding the preprocessed data into a long-short-term memory network layer, obtaining a data long-range dependency relationship through training, and calculating a hidden vector; 3) inputting the hidden vector in the step 2) into the attention layer;4) in the network training process, optimizing the network parameters by using a particle swarm optimization technology; and 5) inputting a result obtained by network training into a full connection layer of the neural network, and performing linear regression calculation by utilizing higher-layer feature representation learned by the full connection layer to obtain RUL corresponding to the periodof the machine for manually adjusting machine operation parameters or operation conditions. According to the invention, the natural language processing technology and the attention mechanism are combined to realize fault prediction under multiple working conditions.

The invention discloses a military aircraft test flight full-cycle comprehensive supportability dynamic evaluation model, which comprises basic indexes and element indexes. The basic indexes comprisetechnical data, equipment resources, spare part resources and flight guarantee. The element indexes of the technical data comprise the one-time submission qualification rate of the process. The element indexes of the equipment resources comprise an equipment utilization rate, an equipment satisfaction rate and an effective rate of field service guarantee. The element indexes of the spare part resources comprise a spare part utilization rate and a spare part satisfaction rate. The element indexes of the flight guarantee comprise a full-optimal flight date rate and a full-optimal flight guarantee date rate. According to the invention, a preliminary quantitative conclusion is provided for the comprehensive guarantee of the airplane. A design shaping basis is provided for comprehensive guarantee of an airplane. A continuously improved basis is provided for the comprehensive guarantee of the aircraft test flight stage. A reference is provided for the use guarantee after the aircraft is assembled with an army, so that the comprehensive supportability of the military aircraft in a test flight complete period is verified, and the supportability requirement of the aircraft is ensured.

The invention discloses a game system based on physical examination data information. The game system comprises a data acquisition module and a heart rate sensor, and further comprises an algorithm module and a game module, wherein the data acquisition module comprises mobile equipment; a plurality of sensors, including a sleep sensor, a heart rate sensor, a blood pressure sensor and a vital capacity sensor, are arranged on the mobile equipment; the sleep sensor is used for acquiring sleep information of the user; the heart rate sensor is used for acquiring heart rate information of the user;the blood pressure sensor is used for acquiring blood pressure information of the user; the vital capacity sensor is used for acquiring vital capacity information of the user; the algorithm module isused for quantifying information acquired by the sensors into parameter information; and the game module is used for acquiring signals of the algorithm module in real time, generating corresponding game parameters in accordance with the parameter information and offering corresponding game resources in accordance with the game parameters. According to the system provided by the invention, the user, who plays games, can acquire own physical health data, so that the user can do his health management conveniently so as to master his physical conditions and enjoy satisfaction from the games.

The embodiment of the invention provides a smoke monitoring method, a moxibustion container and a terminal, and relates to the technical field of the Internet of things. According to the smoke monitoring method, the smoke amount generated during moxibustion can be determined for a user, so that the user achieves safety protection and heath management. The method comprises the steps that smoke data output by the moxibustion container during at least one time of moxibustion is acquired and used for indicating the smoke amount generated in the moxibustion container; health management information is generated according to the smoke data output by the moxibustion container during at least one time of moxibustion and used for sending out a health tip related to the smoke amount to the user. The smoke monitoring method can be applied to the moxibustion process.

An intelligent diaper includes an inner layer configured to be substantially liquid-pervious; a transparent outer layer configured to be substantially liquid-impervious; a middle layer disposed between the inner layer and the transparent outer layer and configured to absorb liquid from a diaper wearer's body; a core member disposed between the transparent outer layer and the middle layer, and the core member including an identification zone having a 2D barcode, a color calibration zone, and a test zone having two spaced test paper strips; urine indication strips disposed between the transparent outer layer and the middle layer and being adjacent to the core member; a negative comparison zone having two spaced negative color comparison cards; and a positive comparison zone having two spaced positive color comparison cards. Color of the urine indication strips changes in response to expelled waste.

A method and system for monitoring compliance with medication regimens. The system is integrated onto the back or side of a medication dispensing package for monitoring and compliance tracking of medication regimens. The system includes a camera that is web enabled to upload photo and/or video content to a cloud based tracking database for analysis, tracking and further processing as desired. When a user approaches the medication box, the camera preferably captures an image of the pill package being dispensed and an image of the face of the person removing the pill package. This information is streamed to an algorithm/database housed in the cloud wherein the data is processed using predetermined rule sets. The rule sets may include a determination that the correct person took the medication via a facial recognition process, the time and day the medication was taken, the package dispense, etc.

The invention discloses an axial force testing method and device for a squirrel-cage elastic support, electronic equipment and a medium. The method comprises steps of S1, time domain analysis being conducted on time domain signals measured by a stress sensor to obtain fundamental frequencies; S2, analyzing the fundamental frequency to obtain a sampling moment T corresponding to a fundamental frequency peak value; S3, extracting a strain value measured at a sampling moment T from the time domain signal; S4, solving and separating an axial force strain response value corresponding to the axial force of each measurement point and a radial force strain response value corresponding to the radial force from the strain values based on the measurement position of the stress sensor and the coupling relation of the axial force and the radial force to the strain response of the measurement point; S5, performing static calibration according to the linear relation between the axial force strain response value of each measurement point and the axial force to obtain the axial force corresponding to each measurement point; and S6, calculating the average value of the axial forces obtained at the measuring points to obtain the axial force. The device can be directly used for testing the axial force of the elastic support and bearing integrated bearing.