13 results about "Abnormal body temperatures" patented technology

The invention belongs to the technical field of health management, and particularly provides a hospital health management early warning method based on body temperature data, which comprises the following steps: collecting body temperature data of a patient in real time through a body temperature monitoring device deployed on the body surface of a clinical patient and / or a monitoring area, and comparing the body temperature data with a preset threshold range; when the body temperature data of at least one patient exceeds a preset threshold range, generating a warning signal containing an abnormal body temperature value, a timestamp and an equipment identifier, and sending the warning signal to the control terminal; the control terminal analyzes a position information source of the warning signal based on the equipment identifier, and calls electronic medical record information of a patient corresponding to the position; according to the abnormal body temperature value, the position information and the medical record information, generating a control signal comprising a patient identity label, an abnormal body temperature tendency chart and suggested medical measures, and sending the control signal to a mobile terminal of a specified medical worker; real-time continuous monitoring and automatic early warning response of the body temperature of a clinical patient are achieved, and the discovery and treatment timeliness of abnormal body temperature events is remarkably improved.

The invention relates to the technical field of temperature sensing, in particular to a multivariate edge acquisition method. Comprising the following steps: acquiring multivariate data to obtain original data; performing edge feature extraction according to the original data to obtain an extraction result; performing temperature field reconstruction according to an extraction result; performing temperature anomaly judgment according to a reconstruction result of the temperature field reconstruction to obtain a judgment result; and outputting an alarm according to a judgment result. In the prior art, although most thermal imaging systems on the market can provide temperature distribution images, the fusion degree of the temperature distribution images and visible light data is low, and an effective multi-modal data alignment and registration technology is lacked, so that accurate body temperature positioning and individual recognition are difficult to realize in a complex scene. An existing system lacks intelligent data analysis capacity, and rapid positioning and tracking of abnormal body temperature are difficult to achieve. Compared with the prior art, the influence of strong light interference and temperature and humidity fluctuation on the temperature measurement precision is effectively reduced, and multi-target body temperature synchronous detection in a complex scene is achieved.

The invention discloses a child body temperature intelligent monitoring method and an early warning system. According to the system, multi-modal data acquisition modules such as infrared thermal imaging, visible light image recognition and an environment sensor are integrated, and edge calculation and cloud artificial intelligence analysis are combined, so that real-time non-inductive monitoring and abnormal early warning of the body temperature of children are realized. The system adopts an improved YOLOv5 algorithm to realize accurate positioning of a facial region, infrared temperature measurement precision (+ / -0.2 DEG C) is improved in combination with a dynamic threshold calibration technology, and environmental interference is eliminated through a multi-source data fusion algorithm. And when the body temperature is detected to be abnormal, the system automatically triggers a grading early warning mechanism, pushes alarm information to parents and medical institutions through an Internet of Things platform, and generates an electronic health record. Experiments show that the fever recognition accuracy of the system in a simulated child activity scene reaches 98.7%, the false alarm rate is lower than 2%, and the system is remarkably superior to a traditional forehead thermometer detection mode. The invention fills the technical blank in the field of continuous health monitoring of children, and has important clinical application value and social benefit.

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.

This utility model discloses an emergency alarm device for cardiovascular postoperative care in the field of medical device technology. It includes a hospital bed and a positioning pillow. The positioning pillow is located at one end of the hospital bed, and a fixed frame is located at the other end. A sliding groove is embedded in the bottom of the fixed frame, and a slider is located inside the groove. An electric telescopic rod is located at the bottom of the slider. A thermal imager and an infrared thermometer are located at the bottom of the mounting plate. An alarm is located at the top of the fixed frame, and the alarm and infrared thermometer are electrically connected. Through the positioning pillow, fixed frame, sliding groove, slider, electric telescopic rod, mounting plate, thermal imager, infrared thermometer, and alarm, automatic measurement of the patient's body temperature is achieved. The slider slides inside the groove, thereby moving the thermal imager to confirm the patient's position. The infrared thermometer can then detect the patient's body temperature. When an abnormal body temperature is detected, the alarm is activated via the control center.

The invention relates to the field of intelligent sensing systems, in particular to a ventilation device and regulation and control system for a neonatal incubator, and the method comprises the steps: collecting various data through the incubator, and obtaining a ventilation power gear at each moment according to the concentration of carbon dioxide in the incubator at each moment and the concentration change of the carbon dioxide; by analyzing the temperature of each skin area and the temperature of the area in the box, a plurality of local sub-time periods and the abnormal degree of the newborn body temperature in the local sub-time periods are obtained; according to the ventilation temperature, the ventilation power gear, the temperature outside the incubator and the overall temperature of the incubator in the local sub-time period, the disturbance degree influencing the stability of the temperature in the incubator in the local sub-time period is obtained, and the abnormal degree of the newborn body temperature is combined; therefore, the error in the PID controller is corrected. The temperature is regulated and controlled by analyzing historical data collected by the incubator, so that the situation that a traditional temperature compensation mechanism depends on lagged feedback is avoided, and a proper temperature environment is provided for the newborn in time.

The present application relates to a body temperature detection method of a wearable device and a related device thereof. The body temperature detection method comprises: separately acquiring a skin temperature of a wearer, a device temperature of the wearable device, and an environment temperature outside the wearable device; acquiring an initial body temperature of the wearer according to the skin temperature, the device temperature, and the environment temperature; and acquiring a body temperature influence factor of the wearer, and detecting whether the wearer is in a body temperature normal state or not according to the initial body temperature and the body temperature influence factor. Therefore, according to the present application, factors such as device temperature and environment temperature which interfere with the initial body temperature can be eliminated, such that the accurate initial body temperature can be obtained. In another aspect, the initial body temperature and the body temperature influence factor of the wearer are combined and analyzed to judge whether the wearer is in a body temperature normal state or not, and the body temperature result of the wearer can be further detected, thereby preventing various diseases caused by abnormal body temperature of the wearer.

The invention relates to the technical field of medical care, and discloses an intelligent identification system and method for preventing bed falling and a mattress, and the system comprises an infrared module, a video module, a fusion module and an execution module. The method and the mattress both correspond to the system. According to the invention, the bed falling risk of the patient can be accurately evaluated in multiple dimensions and intervened in time; the infrared module detects abnormal body temperature features, the video module detects anti-bed-falling features, the fusion module combines the abnormal body temperature features and the anti-bed-falling features to correct the bed-falling probability, and the execution module controls the foldable baffle to act and generates alarm information based on the bed-falling probability; therefore, the limitation of a traditional single monitoring mode is changed, the bed falling possibility is comprehensively analyzed from multiple dimensions such as the body temperature and the limb movement, and the judgment on the bed falling risk of the patient is more comprehensive and accurate.

The invention discloses an intelligent temperature control interventional operation heat preservation and moldable fitting functional operation quilt, and relates to the technical field of operation quilts. According to the system, the temperature of the interior of the surgical quilt assembly and the body surface temperature of a patient can be collected through the temperature collection module, the needed heating power can be calculated through the control core module, a heating command is executed through the heating execution module, the use temperature of the surgical quilt assembly is adjusted, and the use safety of the surgical quilt assembly can be monitored through the safety protection module; through real-time monitoring of an intelligent temperature control system, abnormal body temperature of a patient can be warned in time in an operation, real-time automatic and zoned temperature adjustment is carried out on an operation quilt assembly, and it is ensured that the body temperature of the patient is stable in the operation, so that the operation risk is reduced, the protection surface layer and the heating middle layer are bonded through a hook-and-loop fastener, and the protection effect is good. The protective surface layer can be quickly detached and cleaned after use, and the surgical quilt assembly can be conveniently and repeatedly used.

1. The name of this design product: Temperature patch box. 2. The use of this design product: This design product is used for wireless connection with the temperature patch, displaying temperature data and giving an abnormal temperature reminder, and is also used for placing the temperature patch and charging it. 3. The design key points of this design product: lie in the shape, and part A is a cover plate that can be rotated and opened and is transparent. 4. The picture or photo that best shows the design key points: the three-dimensional view.

The invention discloses an intraoperative core body temperature monitoring and early warning method and system and a medium, and relates to the related field of medical monitoring and early warning, and the method comprises the following steps: dynamically monitoring to obtain real-time state information of a target user; obtaining a target operation type, and obtaining real-time stage characteristics in combination with the real-time operation stage; extracting real-time anesthesia information, and analyzing the real-time anesthesia information in combination with the target individual information to obtain a body temperature trend index; activating a temperature sensor group in the intelligent earplug, and dynamically monitoring to obtain a real-time ear temperature set; establishing a multi-source data set based on the body temperature trend index and the real-time ear temperature set, and performing collaborative analysis to obtain a real-time predicted core body temperature; if not, early warning of abnormal body temperature is carried out. The technical problems that existing core body temperature monitoring is not timely and inaccurate, and it is difficult to effectively discover body temperature abnormity and conduct early warning are solved, and the technical effects of timely and accurate core body temperature prediction and abnormity early warning are achieved.

The invention discloses a non-intrusive sleep behavior monitoring system based on infrared machine vision, which relates to the field of sleep behavior monitoring, and comprises an infrared thermal imaging acquisition module for acquiring a thermal imaging image sequence of a monitored person in a sleep process; the data processing module performs preprocessing and body part segmentation on the thermal imaging image sequence; the sleep behavior recognition module calculates the quilt coverage rate index and the temperature change rate of each part based on the segmentation result, and recognizes the quilt opening and closing behaviors and the corresponding critical temperature in combination with the activity index; the abnormal body temperature monitoring module establishes a personalized temperature distribution base line of the monitored person and judges whether body temperature deviation caused by abnormal coverage states exists or not; and the output and control module outputs a monitoring result, triggers linkage of external equipment according to an abnormal result, and obtains body surface temperature distribution information of a monitored person in a non-contact manner through an infrared thermal imaging technology, so that high-precision and non-intrusive sleep behavior monitoring and abnormal exposure early warning are realized.