11 results about "Abnormal vital signs" patented technology

The application discloses a neonatal intelligent monitoring bed and a vital sign abnormality dynamic identification method, and relates to the technical field of neonatal monitoring beds.The neonatal intelligent monitoring bed comprises a bed frame, a flexible mattress, a bed plate driving unit, a main control unit and a warning unit, is provided with a multi-section adjustable flexible bed plate and a multi-modal sensing unit, and is characterized in that the multi-section adjustable flexible bed plate is divided into a head section bed plate, a trunk section bed plate, a left side turning bed plate and a right side turning bed plate, each section of the bed plate can be independently adjusted in inclination, the bed plate driving unit is in transmission connection with the multi-section adjustable flexible bed plate and is used for driving each section of the bed plate to adjust the inclination.The application realizes reflux preposition prevention and control, accurately captures the precursor pathological characteristics 10-30 seconds before reflux occurs, completely changes the lag mode of the prior art that alarms only after milk overflow occurs, avoids the risk of aspiration and suffocation from the root, and fills the technical blank of pre-prevention and control of neonatal reflux.

The application discloses a kind of based on real-time positioning and physiological data's cruise ship emergency evacuation guiding system and method, including bracelet terminal, monitoring subsystem, server platform and client;Bracelet terminal is worn in passenger or crew hand, including heart rate sensor, navigation display and prompt unit, wireless communication module and control circuit etc..Heart rate sensor is used to collect the heart rate information of wearer, navigation display and prompt unit are used to display route guide and provide vibration or voice prompt.By constructing dynamic electronic fence based on computer vision, combined with real-time personnel position and channel topological information to carry out evacuation simulation, generate and dynamically adjust the optimal evacuation path, and use physiological data such as heart rate to optimize the evacuation guiding strategy, trigger nearby rescue dispatch for people with abnormal vital signs, so as to improve the efficiency and safety of cruise ship emergency evacuation.

The present invention discloses an intelligent triage and real-time vital sign monitoring transfer stretcher system, belonging to the technical field of intelligent medical devices. The present invention combines the advantages of hardware adaptability, intelligent triage and monitoring, and cloud scheduling integration, greatly improving the overall efficiency and safety of casualty transfer and first aid. The stretcher hardware adopts lightweight composite materials and is equipped with a multi-functional design, adapting to different casualties and scenarios. Multiple sensors achieve high-precision continuous collection of vital sign and environmental data, dynamically adjust the body temperature of the casualty, and ensure transfer safety at the basic level. Through the trained injury triage model, four-level accurate classification of injuries is achieved, and the monitoring threshold can be dynamically adjusted according to the injury condition. Early warnings are given for abnormal vital signs in a timely manner. Relying on cloud-based multi-mode wireless transmission, data interconnection in the whole scenario is realized, docking with the hospital information system, completing multi-terminal linkage scheduling for the entire first aid process, optimizing transfer specifications through data correlation analysis, rationally allocating first aid resources, and achieving seamless connection between pre-hospital and in-hospital first aid.

Apparatus and methods are disclosed for monitoring, tracking, and storing vital signs using an adjustable wristband and / or ring designed to fit the patient or user. The apparatus includes integrated components such as sensors, a motherboard, and a web-based platform and / or mobile dashboard. The apparatus work together to notify the patient, healthcare team, and family members when vital signs are abnormal. Additionally, the system displays and securely stores vital signs data, making it accessible to authorized individuals during medical care or for daily health monitoring. The apparatus provides real-time notifications to users upon detecting abnormal vital signs and utilizes artificial intelligence (AI) and machine learning models to analyze health data collected from multiple data sources including EMR systems, multiple personal devices and payers to predict risk to critical illness, recommend preventive care options, and deliver proactive, personalized health insights to users, enhancing remote patient management, improving patient outcomes and overall efficiency.

A non-contact method and system for monitoring and warning of abnormal vital signs in firefighters includes: transmitting frequency-modulated continuous waves into the chest cavity using a millimeter-wave radar module integrated into the firefighter's helmet and receiving the echoes; collecting body surface temperature using an infrared thermal imaging module and acquiring environmental and inertial parameters using sensors; extracting chest cavity micro-motion signals from the echoes to estimate heart rate and respiratory rate; extracting body surface temperature features from temperature images; compensating for temperature and smoke attenuation using environmental parameters and adaptively suppressing motion artifacts using motion parameters to obtain pure physiological signals; inputting heart rate, respiratory rate, and body surface temperature features into a cross-modal attention fusion network to generate a fused feature vector; dynamically calibrating based on individualized physiological baselines according to motion intensity and calculating physiological deviation; simultaneously inputting the feature vector sequence into an LSTM to predict the trend; if the deviation exceeds the limit or the predicted trend enters the danger zone, outputting graded warning information with abnormality type and confidence level.

The invention belongs to the technical field of intelligent ward round, and particularly relates to a clinical intelligent ward round system. According to the invention, the monitoring period is dynamically matched according to the admission physiological data, so that high-risk patients can be monitored at higher frequency, unnecessary data acquisition of low-risk patients is reduced, medical care resource allocation is optimized, behaviors such as turning over, getting up and leaving the bed are identified based on bedridden pressure time sequence characteristics, and abnormal behavior modes or behavior mutation can be found. The early-stage abnormal conditions such as getting out of bed, dysphoria and the like can be quickly found, whether the vital signs are abnormal or not is judged, the fluctuation trend and rapid change of the vital signs are recognized, early warning can be provided at the early stage of deterioration of the vital signs, preposed health risk management is achieved, abnormal events are fused, and combined recognition of behavior patterns and vital sign abnormity is adopted, so that the early-stage abnormal conditions of the vital signs are recognized. The method is more reliable than a single index.

The invention relates to an intelligent portable nurse night patrol mirror device which comprises a night patrol mirror body, the night patrol mirror body comprises a shell, an infrared camera, an infrared LED lamp, a display screen, a host module and a power module, the infrared camera and the infrared LED lamp are arranged on a front panel of the shell, and the host module and the power module are arranged in the shell. According to the intelligent portable nurse night patrol mirror device, the low-cost active near-infrared night vision technology is applied to a medical night patrol scene in a miniaturized, monocular display and modular wearing mode for the first time, the effect that the nurse does not disturb sleep of a patient at all during night room patrol work can be achieved, multiple wearing modes are provided, and the intelligent portable nurse night patrol mirror device is convenient to use. And the use requirements of different nurses can be met. By means of the night patrol mirror device, during night patrol, whether a patient has the risk of abnormal vital sign signals or not can be judged without turning on a lamp or assisting with other visible light sources or making contact with the patient, and the influence on sleep of the patient in a ward in the night patrol process can be avoided to the maximum extent.

The invention discloses an intelligent nursing method and device. Multi-modal target intelligent equipment is integrated on an Internet of Things platform, unified access of multiple brands and multiple types of equipment is realized, and equipment adaptation repeated work and data island cost are reduced. Meanwhile, a binding relationship between the target intelligent device and each responsibility area is established. Risks such as falling, off-bed non-return and abnormal vital signs can be sensed in real time, events from the target intelligent device are pushed to the Internet of Things platform and the terminal in the responsibility area in real time for active early warning, the pain point of response lag of traditional manual patrol is solved, and the safety risk of emergency situations is reduced. And the event can be directionally pushed to the corresponding person in charge, so that the disposition disorder caused by information mass sending is avoided, and the accurate docking demand of the nursing service is ensured. Under the condition that the event is the alarm event, the text of the alarm event is converted into the natural language audio to be broadcasted on the terminal and visually presented to the nursing personnel, so that the cognitive load of the nursing personnel is reduced, and the early warning information is prevented from being missed.

The invention relates to the technical field of vital sign monitoring, in particular to a high-dependence ward patient vital sign abnormity early warning nursing intervention method and system.The method comprises the following steps that heart rate systolic pressure and diastolic pressure blood oxygen data are collected, abnormity or recovery is marked according to intervals, abnormity and recovery time spans are accumulated to form a time structure, and the time structure is calculated; the method comprises the following steps: acquiring heart rate, blood pressure and blood oxygen data, calculating an abnormal occupancy ratio, analyzing cross-cycle progressive increase, extracting a sequence of first abnormal time points, counting continuous anomalies and successive evolution, and outputting early warning intervention information when continuous progressive increase is met and unsynchronized accumulation and sequential counting rules are recovered. The method comprises the following steps: forming a nursing period state sequence, accumulating abnormity and recovering a time span to construct a time structure, combining an abnormity occupation ratio and a preorder period change, extracting a first abnormity time point, sorting and identifying continuous abnormity and evolution, and outputting early warning according to a continuous increasing and unsynchronized accumulation and sequence counting recovering rule. Invalid alarm is reduced; and intervention consistency is improved.

The invention provides a heart failure patient vital sign real-time monitoring method and system, and the method comprises the steps: extracting a corresponding physiological variability index from the real-time monitoring data of each vital sign, constructing an individualized physiological baseline model, and generating a dynamic threshold interval of each vital sign; performing cross-parameter correlation analysis on the real-time monitoring data of each vital sign and the deviation degree of the dynamic threshold interval to obtain a pathological correlation index between abnormal changes of different vital signs; carrying out anomaly judgment on the real-time monitoring data of each vital sign, and carrying out cross validation on an anomaly judgment result of each vital sign to obtain an anomaly judgment confidence coefficient of each vital sign; and when the abnormal judgment confidence coefficient of the vital signs meets a preset confidence condition, generating vital sign abnormal early warning information matched with the individual difference of the heart failure patients. By adopting the scheme of the invention, accurate adaptation of the vital sign static threshold to the individual difference of the heart failure patients can be realized.

This invention provides a millimeter-wave radar method for sleep breathing and body movement detection and lighting early warning control, relating to the field of smart home technology. The method includes the following steps: S1: The millimeter-wave radar module continuously transmits frequency-modulated continuous wave signals and receives echo signals reflected by the human body; S2: The echo signals are preprocessed; S3: Based on the extracted micro-motion features, a multi-feature fusion machine learning algorithm is used to identify the human body state; S4: Based on the identified human body state, corresponding lighting control strategies are executed; S5: In nighttime monitoring mode, the millimeter-wave radar module continuously monitors the human body movement signals; S6: The respiratory rate, respiratory rhythm, heart rate, and body movement of the human body are continuously monitored. When abnormal vital signs are detected, an early warning mechanism of the corresponding level is activated according to the severity of the abnormality. This invention uses millimeter-wave radar technology to detect human sleep state and vital signs without requiring any wearable devices.