45 results about "Body Temperature Changes" patented technology

The invention relates to the technical field of health management, and discloses an intelligent food recommendation and diet optimization system based on body temperature change, and the system comprises a body temperature dynamic fluctuation curve generation module which collects data in real time through a multi-source temperature sensor of wearable equipment, and is used for generating a body temperature dynamic fluctuation curve; the metabolism state label acquisition module is used for matching the time-frequency domain characteristics with a preset metabolism mode library so as to acquire corresponding metabolism state labels; the calculation module is used for calling nutrient element intake records in the historical diet database of the user and a preset health target and is used for calculating a current metabolic rate deviation value and a nutrition gap; the diet scheme generation module is used for generating a suggested diet scheme containing a recommendation priority score and a real-time eating suggestion based on the metabolic rate deviation value, the nutrition gap and a preset health target; and the monitoring module is used for monitoring body temperature change data after the user executes the recommended diet scheme. The accuracy of health management can be improved.

The invention discloses an operation body temperature intelligent management method based on multi-zone temperature dynamic regulation and control, which comprises the following steps: a patient lies on a nano flexible heating film, biosensors are mounted on the head, limbs and trunk, physiological indexes of heart rate, blood pressure and skin conductance are monitored in real time, and the association between the physiological indexes and body temperature fluctuation is analyzed through AI; a neural network prediction model is constructed, and a personalized body temperature threshold value is set in combination with body surface temperature distribution monitored by infrared thermal imaging; dynamically adjusting the temperature of the heating film according to the prediction result, analyzing the relationship between the body temperature change trend and the temperature of the heating film, and setting a temperature alarm threshold value per unit time for judging whether additional auxiliary equipment is needed to remind medical personnel or not; through multi-area temperature dynamic regulation and control, the problems that a monitoring method is lagged, regulation and control measures are lack of accuracy and individuation, and a comprehensive management system is lack in traditional operation body temperature management are solved, and the accuracy, effectiveness and safety of operation body temperature management are remarkably improved.

The invention relates to the technical field of abnormal body temperature prediction, in particular to a newborn abnormal body temperature prediction method and device and a storage medium. The method comprises the following steps: collecting the body temperature and physiological signals of a newborn in real time, and carrying out preprocessing; based on fast Fourier transform, time sequence features reflecting body temperature changes in the body temperature and physiological signals are extracted, feature vectors are generated, the body temperature and physiological signals are processed through phase coupling analysis and a frequency domain mask inhibition mechanism, and a low-frequency noise interference interval caused by neonatal breathing irregularity and skin conduction disturbance is dynamically recognized; on the basis of the feature vectors, the body temperature abnormal risk probability is predicted in real time through the long-short-term memory network, the gating weight of the long-short-term memory network is dynamically regulated and controlled through two factors of the body temperature change rate and the physiological state label, and a feature fusion mechanism is optimized. According to the invention, through multi-modal physiological signal fusion and a dynamic feature weighting mechanism, the accuracy and real-time performance of newborn body temperature anomaly prediction are significantly improved.

The application relates to the technical field of intelligent sensors and big data processing, in particular to a smart watch multi-source data fusion method and system based on environment sensing. The method comprises the following steps: obtaining an original data set through a smart watch; generating a data frame sequence according to a preprocessing result of the original data set, and generating a fusion feature vector based on the data frame sequence; inputting each fusion feature vector into a preset health mode classification model, and outputting an initial recognition result; generating a health risk level and an environmental influence factor according to the initial recognition result, and outputting user feedback information; extracting features such as a heart rate variation interval, a body temperature change rate and an air quality fluctuation cycle, constructing a fusion feature vector, combining a pre-trained health mode classification system, analyzing a linkage relationship between environmental changes and physiological reactions, and accurately identifying a stress mode caused by environmental pollution; and finally outputting personalized health prompt information based on a risk score mechanism and a historical mode library.

The utility model relates to a pet accompanying robot. The pet accompanying robot comprises a robot body and an elastic playing piece. The robot body comprises a moving main body, a main controller capable of being in communication connection with a user terminal and a temperature detector used for detecting the body temperature of a pet, the main controller and the temperature detector are both arranged on the moving main body, and the temperature detector is in communication connection with the main controller; one end of the elastic playing piece is connected with the moving main body, and the other end of the elastic playing piece protrudes out of the moving main body. The temperature detector, the main controller and the elastic playing piece are arranged on the mobile main body, and the body temperature change of the pet can be known in time through the cooperation of the temperature detector and the main controller, so that the health state of the pet can be monitored conveniently; the moving main body moves to drive the elastic playing piece to move, so that the elastic playing piece can interact with the pet and play with the pet, and the use requirements of pet farmers can be met.

The invention provides a thermal analysis method and system for cross-scale body temperature mode fusion. The method comprises the steps that S1, continuous body temperature collection is conducted at a preset time interval to obtain body temperature data at least from a first time scale, a second time scale and a third time scale; s2, performing cross-scale feature extraction on the body temperature data to obtain a first feature, a second feature and a third feature; wherein the first feature corresponds to the first time scale, the second feature corresponds to the second time scale, and the third feature corresponds to the third time scale; s3, respectively establishing a first modeling unit, a second modeling unit and a third modeling unit according to the first feature, the second feature and the third feature; s4, modeling is carried out on the modeling unit, and a modeling result is fused to obtain a body temperature mode fusion result; and S5, classifying the body temperature change modes according to the body temperature mode fusion result.

The utility model discloses a disposable body cavity temperature detection sensor, which comprises an output end part, a PVC (polyvinyl chloride) sleeve and a temperature sensing end part, the output end part and the temperature sensing end part are respectively arranged at two ends of the PVC sleeve, a connecting wire is wrapped in the PVC sleeve, one end of the connecting wire is electrically connected with the temperature sensing end part, the other end of the connecting wire is fixedly connected with an electrode terminal, and the electrode terminal is fixedly connected with the PVC sleeve. And the electrode terminal is inserted and connected to the output end part. The temperature sensing end part enters the inner cavity of the human body from the oral cavity of the human body, and the PVC sleeve performs a trend traction effect on the temperature sensing end part until the temperature sensing end part reaches a position for detecting the internal temperature of the body cavity, so that the internal temperature of the body cavity can be accurately and quickly detected and output to other equipment for digital display; the problem that the real body temperature change condition of a patient cannot be accurately reflected by adopting a body surface temperature monitoring sensor in the prior art is solved.

The invention discloses an elderly disease department nursing pressing hemostasis device, and relates to the technical field of medical nursing, the elderly disease department nursing pressing hemostasis device comprises a spring array layer and a dustproof film, the spring array layer is provided with a buffer assembly, and wound pressing force is changed by responding to impact force; the buffer assembly is provided with a contact assembly which is dynamically attached to the skin and synchronously moves, the middle of the contact assembly is provided with a release layer used for promoting wound healing, the dustproof film is arranged on the contact assembly and seals the contact assembly for dust prevention, and one side of the spring array layer is provided with a binding assembly. According to the pressing hemostasis device for nursing in the senile disease department, through the effect of the memory metal spring array, accurate control over the spring contraction amount when the body temperature changes to 37 DEG C is achieved, a dynamic pressure adjusting mechanism is formed, compared with a traditional constant-pressure device, the blood circulation promoting efficiency is remarkably improved, and meanwhile tissue damage caused by pressure overload is avoided.

The invention relates to the technical field of medical apparatus and instruments, in particular to an anesthesia monitoring system for connection of tumor cell debilitation and intraperitoneal hyperthermic perfusion chemotherapy. The system comprises: a cardiopulmonary monitoring module configured to collect cardiopulmonary key indexes of a to-be-monitored object in real time from a tumor cell deficit anesthesia guide period; the body temperature monitoring module is configured to monitor the body temperature of a to-be-monitored object in real time and obtain a body temperature change baseline value; the acidosis intervention confirmation module is configured to preventively generate acidosis intervention information corresponding to the to-be-monitored object; the control module is configured to process the cardiopulmonary key indexes, the body temperature change data and the acidosis intervention state based on a preset algorithm to generate an anesthesia depth adjusting signal, the preset algorithm is configured to enable the cardiopulmonary key indexes, the body temperature change data, the acidosis intervention state and the mechanical retardation effect to form a correlation calculation model which decreases progressively; and adjusting the anesthesia depth in real time based on the anesthesia depth adjusting signal.

The utility model discloses a constant temperature monitoring device for animal surgeries, and particularly relates to the technical field of constant temperature monitoring devices, the constant temperature monitoring device comprises a heating pad and a constant temperature monitoring assembly, the heating pad comprises a first base plate, second base plates are connected to the two sides of the first base plate, and third base plates are connected to the front side and the rear side of the first base plate; wherein the side, away from the first base plate, of one second base plate is connected with a fourth base plate, the first base plate, the two second base plates, the two third base plates and the fourth base plate form a constant-temperature box through magnetic attraction assemblies, cavities are formed in the first base plate and the two second base plates, and an electric heating plate used for heating is fixedly arranged in each cavity. The heating pad is used for heating and maintaining the animal body temperature, the temperature sensor, the controller and the remote controller are used for monitoring the animal operation body temperature in real time, the heating temperature is adjusted according to the animal, body temperature changes caused by temperature loss in the operation are avoided, and a doctor can adjust the temperature at different positions through the remote controller according to the requirements of the doctor.

The present application relates to the technical field of heating tube control, and specifically discloses a kind of integrated multi-channel medical heating blanket infusion heating tube control method and system, comprising the following steps: step S1: through historical data, the collaborative relationship of heating blanket and infusion heating tube is established, and the influence of both on patient temperature is quantified;Step S2: generate normal body temperature change curve and calculate standard change rate, provide reference for real-time adjustment;Step S3: according to the collaborative relationship and the standard change rate, the temperature of heating blanket and infusion heating tube is adjusted in real time, to ensure that patient temperature reaches target value smoothly and safely;The present application can meet the needs of multiple places at the same time for multi-channel heating components, greatly reduce the cost of equipment, and through data driving and dynamic adjustment, precise and efficient body temperature regulation is realized.

The invention discloses a wearable intelligent device based on body temperature online monitoring and real-time cooling. The wearable intelligent device comprises a device body, a temperature sensor, an information processor, a flexible adhesive layer, a battery and a semiconductor chilling plate. On one hand, on the basis of body temperature online real-time monitoring, body temperature abnormity early warning can be sent to a guardian, accurate disease early warning and early intervention opportunities are increased on the basis of the curve matching degree and prediction of a database model, and meanwhile the auxiliary cooling working mode is automatically controlled on the basis of body temperature changes; therefore, an accurate and efficient cooling solution is provided for infants. On the other hand, based on the fact that the multiple temperature measuring faces can synchronously deform along with the flexible adhesive layer to be attached to the armpit or forehead skin curve, the deviation rate of data collection during infant movement is reduced, meanwhile, body temperature information is obtained more accurately in real time, and wearing is comfortable.

The invention provides a vehicle-mounted air conditioner control method and device and a vehicle. The method comprises the steps that the body temperature change gradient and the palm sweat secretion rate of a current vehicle driver are obtained; determining a current physiological state classification result of the driver according to the palm sweat secretion rate and the body temperature change gradient; searching a pre-distribution weight corresponding to the body temperature change gradient and the palm sweat secretion rate according to the current physiological state classification result; performing weighted summation on the body temperature change gradient and the palm sweat secretion rate through pre-distribution weight to obtain a comprehensive regulation factor; the target output power and the target output temperature of the vehicle-mounted air conditioner are determined through the comprehensive regulation and control factors; and when the current physiological state classification result meets the preset condition, the vehicle-mounted air conditioner is controlled to operate according to the target output power and the target output temperature, and therefore the air conditioner starting time is accurately matched with the actual requirement.

The utility model belongs to the technical field of medical supplies, and particularly discloses a constraint robe for delirium patients. The robe comprises a robe body, a lining is arranged in the robe body, fixing assemblies are arranged on the two sides of the robe body and the two sides of the lining, the lining is located in the robe body, the two sides of the robe body are connected with gloves, and restraining assemblies are arranged in the two gloves. The situation that a patient takes off a pulse oxygen clamp in gloves and digs out the net face end is avoided, the nursing problem after a delirium patient is covered with a quilt is solved, the observation blind area of a nurse is reduced, the patient is prevented from rubbing off a pipeline in the quilt, stimulation caused by the fact that the patient lifts the quilt due to body temperature changes after the operation is avoided, and therefore the adverse effect on postoperative recovery is reduced. Meanwhile, nurses can conveniently observe the condition of the patient, unnecessary stimulation of the patient is reduced, more comprehensive and effective constraint and protection are provided for the delirium patient, and the nursing quality and the rehabilitation effect of the patient are improved.

The present application relates to the technical field of body temperature abnormality prediction, in particular to a neonatal body temperature abnormality prediction method, device and storage medium. It comprises the following steps: real-time acquisition of the body temperature and physiological signals of the neonate and pretreatment; based on fast Fourier transform, the time sequence characteristics reflecting the body temperature change in the body temperature and physiological signals are extracted to generate a characteristic vector, and the body temperature and physiological signals are processed through phase coupling analysis and frequency domain mask suppression mechanism to dynamically identify the low-frequency noise interference interval caused by irregular breathing and skin conductive disturbance of the neonate; based on the characteristic vector, the long short-term memory network is used to real-time predict the body temperature abnormality risk probability, and the gating weight of the long short-term memory network is dynamically regulated through the body temperature change rate and physiological state label double factors to optimize the feature fusion mechanism. Through the multi-modal physiological signal fusion and dynamic feature weighting mechanism, the accuracy and real-time performance of the neonatal body temperature abnormality prediction are significantly improved.

A system is provided.SOLUTION: A system comprising means for receiving data collected from sensors installed in a farm, means for pre-processing the received sensor data into a format suitable for analysis, means for artificial intelligence to analyze abnormal behavior and temperature changes using the pre-processed data and score risk, means for generating and notifying alerts if the risk score exceeds a certain threshold, means for suggesting prevention and countermeasures based on the risk score, and means for collecting feedback data from users and updating the artificial intelligence's models.SELECTED DRAWING: Figure 1

The application belongs to the field of medical equipment, and provides a rewarming rate adjusting method of a mild hypothermia therapeutic instrument, which comprises the following steps: acquiring a current body temperature change rate, a target body temperature change rate and a current body temperature, and calculating a limiting water temperature according to the current body temperature change rate, the target body temperature change rate and the current body temperature; acquiring a target body temperature, and calculating a target water temperature according to the target body temperature and the current body temperature; acquiring a current water temperature, and calculating a water temperature adjusting duty cycle according to the current water temperature and the target water temperature or the limiting water temperature; and adjusting the temperature of the mild hypothermia therapeutic instrument according to the water temperature adjusting duty cycle. The application further provides a rewarming rate adjusting device, a rewarming rate adjusting system and a storage medium. In the rewarming rate adjusting method, the water temperature adjusting duty cycle is adjusted by the limiting water temperature or the target water temperature, and then the temperature of the mild hypothermia therapeutic instrument is adjusted, so that the body temperature rising rate of the mild hypothermia therapeutic instrument can be controlled.

Embodiments are directed to systems and techniques for tracking menstrual cycles, which can include receiving temperature measurements from an array of temperature sensors positioned on a bed. A use period for the array can be determined when temperature measurements from at least one temperature sensor of the one or more temperature sensors exceed a first temperature threshold. In some embodiments, for each use period in a set of two or more use periods, a temperature of the user using the set of temperatures from the respective use period can be determined. After determining the temperature of the user for each use period in the set of two or more use periods, at least one change in the temperature of the user between different use periods can be identified. An ovulation day of the user based on the at least one change in the temperature of the user can be estimated.

The invention discloses a body temperature adjusting system based on digital twinning and an adjusting method thereof, and relates to the technical field of body temperature management. According to the system, multi-dimensional physiological data of a patient, operation related data, operating room environment data and heat preservation equipment operation state data are obtained in real time through a data acquisition module, a patient body temperature digital twin model is constructed, and the model is dynamically updated and calibrated in the operation process; the body temperature change trend of the patient is predicted based on the digital twinborn model, an individualized body temperature adjusting strategy is generated before the body temperature deviates from a preset safety threshold value, a plurality of devices such as body surface heating, infusion heating, flushing fluid heating and environment adjusting are coordinated through the cooperative control module for cooperative execution, and accurate regulation and control of the body temperature are achieved. Real-time mapping, predictive adjustment and closed-loop optimization of the body temperature of the patient can be achieved, the risk of low body temperature and excessive heat preservation in the perioperative period is effectively reduced, the safety and the intelligent level of body temperature management are improved, and good clinical application value is achieved.

The invention discloses a low-power-consumption real-time body temperature monitoring system. A wearable temperature measuring device of the system is used for being worn on a human body to monitor the body temperature in real time so as to obtain body temperature data, a low-power-consumption Bluetooth chip is used for receiving the body temperature data obtained by the wearable temperature measuring device, and a data transmission and display device is used for receiving the body temperature data wirelessly transmitted by the Bluetooth chip so as to transmit and display the body temperature data. The system disclosed by the invention can be used for intuitively displaying a broken line graph, reflecting the body temperature health condition of a user in real time, giving an alarm, sharing data in real time, and realizing non-invasive digital health monitoring and acquisition of biological data, physiological signal processing, transmission and calculation, storage, analysis, calculation and transmission of an information technology and mobile application development; the system aims at providing the ability of intelligently, continuously, cheaply and real-timely monitoring body temperature changes of healthy individuals and sick patients for individual users, clinicians, nursing personnel and the like.

The invention relates to the technical field of medical equipment, and discloses an infrared real-time body temperature monitor which comprises a linear guide rail, an electric sliding block is arranged in the linear guide rail, and an electric push rod is vertically connected to the bottom end of the electric sliding block. The infrared real-time body temperature monitor is suitable for monitoring the body temperature of a patient beside an intensive care unit bedside in real time, and the horizontal position, height and angle of an infrared temperature measuring probe beside the sickbed can be flexibly adjusted through the synergistic effect of an electric sliding block, an electric push rod and a spherical connecting universal shaft; different parts such as the forehead and the neck of a patient can be accurately aligned according to the temperature measurement requirement, the system is suitable for the body positions and bedside environments of different patients, non-contact comprehensive real-time body temperature monitoring is achieved, body temperature changes are dynamically displayed, traditional manual timing body temperature measurement operation is reduced through the design, medical workers do not need to frequently get close to a sickbed, and time and labor are saved. The human resources are saved, the complicated body temperature measuring process is simplified, and convenience is provided for clinical work.

The invention discloses a multi-part sensing and machine vision fused vital sign monitoring method for a large-area burn patient, relates to the technical field of medical monitoring, and is used for solving the problems of monitoring blind areas and shock early warning lag in a large-area burn scene. The method comprises the following steps: firstly, combining waveform statistical characteristics and body temperature change, and accurately dividing a hypoperfusion channel and a fall-off channel; then, eliminating eschar dressing interference based on a three-dimensional mask and chromaticity features, and extracting high-signal-to-noise-ratio non-contact signs; then, a self-adaptive weighting matrix is constructed according to the channel state, and the visual weight is dynamically improved to compensate a contact blind area; finally, by analyzing the cross covariance of the heart rate and the perfusion index, haemodynamic discrete features are captured, shock compensation period advanced early warning is achieved, and continuity and accuracy of monitoring data are guaranteed.

The present invention provides an information processing system comprising: means for receiving data collected from a sensor provided in a farm; the device is used for preprocessing the received sensor data and converting the sensor data into a data format suitable for analysis; the device is used for analyzing abnormal behaviors and body temperature changes by adopting an artificial intelligence model based on the preprocessed data and carrying out risk scoring; means for generating and notifying an alarm when the risk score exceeds a predetermined threshold; means for proposing prevention and countermeasure suggestions based on the risk score; and means for collecting feedback data from the user and updating the artificial intelligence model.

The application relates to the technical field of data processing, and particularly discloses a control method and system based on medical temperature management, which comprises the following steps: generating a coordinate point based on the body temperature of a patient in a preset monitoring period, and drawing a reference curve based on the coordinate point; drawing a comparison curve based on the body temperature change of the patient in the preset monitoring period; judging whether an abnormality exists in a body temperature management module based on the reference curve and the comparison curve; if yes, performing a control step in the next monitoring period to correct a duty ratio D1 set based on a PID algorithm; and if not, continuously judging in the next monitoring period. The application avoids the influence of aging while automatically controlling the temperature in a closed loop.

The invention relates to the technical field of live pig breeding, in particular to a live pig breeding health monitoring method, device and equipment and a medium. By integrating three different types of sensing data, namely thermal imaging data, millimeter wave radar data and audio data, multi-dimensional and three-dimensional monitoring of the health state of the live pig is realized. The thermal imaging data can accurately capture the body temperature change of the live pig, the millimeter wave radar data can obtain vital sign parameters such as respiration and heartbeat of the live pig in real time, and the audio data can sense the potential abnormal state of the live pig through sound analysis. According to the multi-source data fusion mode, the health condition of the live pigs can be reflected more comprehensively and accurately, and the accuracy of health monitoring of the live pigs is improved.

The invention discloses a sheep epidemic disease control method and system based on thermal imaging, particularly relates to the technical field of body temperature monitoring in biomedical engineering, and aims to solve the problems that in the prior art, target loss and identity recognition interruption are likely to occur in sheep body temperature monitoring, and body temperature changes cannot be continuously tracked. The method comprises the following steps: collecting continuous thermal imaging sequence frames to extract body surface temperature distribution data, carrying out identity matching and tracking based on the body surface temperature distribution data in combination with behavior characteristics and spatial characteristics, constructing a time sequence body surface temperature change curve, identifying standard resting posture fragments, establishing a reference resting body temperature, and carrying out standardization processing. And comparing the standardized curve with an epidemic disease characteristic database, analyzing and identifying a temperature anomaly trend, introducing a fuzzy logic decision mechanism for grading evaluation, and judging epidemic disease risks in combination with historical data.

1. The name of the design product: pharmacological pyrogen instrument. 2. The use of the design product: the design product detects the pyrogen in the injection drug by observing the body temperature change of the house rabbit. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention relates to the technical field of heating tube control, and particularly discloses an integrated multi-channel medical heating blanket infusion heating tube control method and system, and the method comprises the following steps: S1, building a cooperative relational expression of a heating blanket and an infusion heating tube through historical data, and quantifying the influence of the heating blanket and the infusion heating tube on the body temperature of a patient; s2, generating a normal body temperature change curve and calculating a standard change rate to provide reference for real-time adjustment; s3, according to the collaborative relational expression and the standard change rate, the temperature of the heating blanket and the infusion heating tube is adjusted in real time, and it is ensured that the body temperature of the patient stably and safely reaches a target value; the multi-channel heating part can meet the requirements of various places at the same time, the equipment cost is greatly reduced, and accurate and efficient body temperature adjustment is achieved through data driving and dynamic adjustment.

The invention discloses a human body tumble detection method and system based on multi-sensor fusion, and the method comprises the steps: collecting human body temperature distribution and three-dimensional point cloud data through a thermal imaging sensor and a millimeter wave radar, respectively extracting a thermodynamic feature tensor and a three-dimensional motion feature tensor, and capturing the contour and motion track information of a human body; through space-time gradient calculation, body temperature change rate and posture sudden change intensity characteristics are deeply excavated; fusing the two types of features to construct a space-time diagram structure, representing joint thermodynamic features by nodes, and representing joint dynamic association by edges; then realizing tumble feature evolution and outputting a risk probability by virtue of multi-level interaction such as space aggregation, multi-scale time sequence modeling and an attention mechanism of a space-time diagram convolutional network; when the probability exceeds a threshold value, reminding is triggered, and high-precision fall detection driven by multi-sensor data is achieved. According to the invention, the human body tumble behavior in a complex scene can be accurately identified, and efficient and reliable tumble detection and timely response are realized.

The invention relates to the technical field of data processing, and particularly discloses a control method and system based on medical body temperature management, and the method comprises the following steps: generating coordinate points based on the body temperature of a patient in a preset monitoring time period, and drawing a reference curve based on the coordinate points; drawing a comparison curve based on the body temperature change condition of the patient in the preset monitoring time period; whether the body temperature management module is abnormal or not is judged based on the reference curve and the comparison curve, if yes, the control step is executed in the next monitoring time period, and the duty ratio D1 set based on the PID algorithm is corrected; and if not, continuing to judge in the next monitoring time period. According to the invention, the influence caused by aging is avoided while automatic closed-loop temperature control is realized.