8 results about "Abnormal body temperatures" patented technology

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 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 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 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.

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.