290 results about "Medical setting" patented technology

A system configured to facilitate monitoring a patient when the patient transitions between environments. The system can have an in-room display terminal configured to display indicia of a health of the patient for electronically monitoring the health of the patient within a healthcare environment. The system can receive, via the in-room display terminal, a request to initiate monitoring the patient with the in-room display terminal at the healthcare environment; access historical physiological data associated with the patient and generated by a home monitoring device before the patient enters the healthcare environment; access real-time physiological data associated with the patient and originating from a physiological monitoring device coupled to the patient within the healthcare environment; generate one or more physiological parameters from the real-time physiological data and the historical physiological data; and cause the in-room display terminal to display indicia of the one or more physiological parameters.

Methods and apparatuses for monitoring a patient in a healthcare setting may include one or more radar transducers to monitor a monitoring region to detect and prevent patient assaults and self-harm. The radar transducers, which may include millimeter wave, lidar, and ultrasonic transducers, can determine and track patient's location and determine patient welfare. Also described herein are systems configured to interpret patient movement.

The invention belongs to the field of multi-modal data processing, and relates to an efficient multi-modal fall detection method in an intelligent medical environment, which comprises the following steps: collecting multi-modal data and inputting the multi-modal data into a trained multi-modal fall detection model to obtain a detection result; the training process of the tumble detection model comprises the steps of collecting multi-modal data and inputting the multi-modal data into the multi-modal feature extraction module to obtain multi-modal features; inputting the multi-modal features into a multi-modal time alignment module to obtain multi-modal time alignment features; inputting the time alignment feature into a depth fusion module to obtain a depth fusion feature; inputting the deep fusion features into a classification module to obtain a detection result; calculating a multi-task loss function value, and updating model parameters according to the multi-task loss function value until a trained fall detection model is obtained; alignment of the multi-modal data is achieved through modal contribution evaluation and dynamic time warping, multi-modal data fusion is achieved in combination with a key modal and a bottleneck mechanism, the detection precision and robustness can be improved, and the calculation complexity can be reduced.

The invention provides an anti-collision method, device and equipment based on obstacle classification in a medical environment, a medium and a program product, and relates to the field of intelligent anti-collision. The anti-collision method comprises the following steps: acquiring point cloud data of a target body in a medical environment; carrying out clustering reconstruction processing on the point cloud data of the first dynamic obstacle in the target body to obtain a reconstructed cluster, and carrying out space division on the cluster to generate a high-dynamic convex boundary; performing recursive space division on the point cloud data of the second dynamic obstacle and the static obstacle in the target body to generate a low dynamic convex boundary, and performing recursive space division on the point cloud data of the to-be-controlled anti-collision body to generate a target convex boundary; and expanding the boundary of the target convex boundary based on the safety distance, detecting the position relationship between the expanded boundary and the low-dynamic convex boundary and the position relationship between the expanded boundary and the high-dynamic convex boundary, generating a control instruction according to the position relationship, and controlling the movement of the to-be-controlled anti-collision body.

The invention relates to the technical field of medical informatization, in particular to a ward distress call method and system based on intelligent medical treatment, and the method comprises the steps: obtaining patient state data collected by a plurality of sensors in a ward; receiving a ward help-calling instruction; constructing a multi-modal data fusion matrix based on the patient state data; executing random matrix transformation and feature extraction according to the multi-modal data fusion matrix; based on the extracted features, topological feature mapping and anomaly detection are carried out; executing group theory base risk assessment according to the topological features; calculating a chaotic power system early warning index based on a group theory risk assessment result; determining a call-for-help judgment result according to the early warning index; a corresponding response strategy is executed based on the call-for-help judgment result, the system can comprehensively grasp the state of the patient through the multi-modal data fusion technology, and the evaluation accuracy is greatly improved. And secondly, the robustness of the system is enhanced by random matrix transformation, so that the system can cope with a complex and changeable medical environment.

The invention discloses a bladder cancer muscular layer infiltration and prognosis prediction system based on deep learning imageomics, relates to the technical field of medical treatment and belongs to auxiliary diagnosis, and adopts an imageomics method and a deep learning model to extract imageomics features and deep learning features of CT images respectively; compared with the prior art, potential meaningful features in the CT image are extracted more comprehensively, the prediction accuracy can be further improved, meanwhile, the features are screened more strictly by using technologies such as intra-class correlation coefficient (ICC) analysis, t inspection, Pearson correlation coefficient, minimum absolute contraction and selection operator (LASSO), PCA dimension reduction and Cox regression, and verification is performed in a plurality of external medical centers. On one hand, the over-fitting risk of the model can be greatly reduced, on the other hand, the excellent generalization of the model is also proved, the use of the model is not excessively influenced by the medical environment and the CT acquisition instrument, and the error generated by the multi-center effect can be effectively solved.

A smart intravenous (IV) pole is disclosed, designed to maintain communications and seamlessly integrate medical devices even as a patient is relocated. The IV pole includes at least one antenna, and a network interface adapted for seamless communication during patient movement. The IV pole also includes a circuitry configured to obtain patient data associated with a patient. The IV pole retrieves one or more electronic medical health records associated with the patient. The IV pole retrieves medical data associated with the patient. The IV pole applies artificial intelligence (AI) models to at least one of the patient data, the electronic medical health records, or the medical data. The IV pole generates alerts associated with a medical condition of the patient and renders the alerts. The IV pole ensures uninterrupted data connectivity, monitoring, and communication during and after relocation, enhancing patient safety and supporting dynamic clinical workflows in modern healthcare environments.

The invention relates to the technical field of medical health information, in particular to a medical infection control intelligent monitoring system based on the Internet of Things. The system comprises a rapid microorganism monitoring module, a multi-dimensional gating behavior analysis module, a space-time causal reasoning module and an intelligent intervention control module, and can be used for sampling and flushing air in an operating room to obtain enriched microorganism suspension; introducing the enriched microorganism suspension into a lysis chamber for cell lysis release to obtain an ATP release liquid; performing viable bacterium density quantification on the ATP release liquid to obtain a real-time bacterial colony density index; collecting a gating original data stream; identifying gating behavior characteristics of the gating original data stream; and performing passage scene semantization on the gating behavior characteristics to obtain a scene semantic tag. According to the invention, the normal form transformation of medical environment infection control from passive monitoring to active prevention is realized through medical informatics and data processing and computing technologies.

A geometric holder with a deployable, multifunctional anytimewear product with capability that may be configured into a variety of utilitarian or product arrangements. Features include open side seams and an accessible back panel which may be useful in a medical environment; by way of example and not limitation, it is useful for taking vitals, CAT scans, breastfeeding or conducting medical procedures on the wearer. The invention may be modified for various use, for example, it may be a stretch of material that may cover the entirety of one's body or a quarter of one's body, a camping or beach changing product, a sleeved product with an attached head covering, receptacles, neck support, foot pouch, storage, and an all over dynamic multi-functional product for warmth, utility, and convenience.

The invention discloses a temperature control management system of an intelligent medical cabin for high altitude, which comprises a multi-source data acquisition module, a power self-adaptive processing module and a temperature control management display module, relates to the technical field of medical environment control, and solves the technical problems of serious performance attenuation, low energy efficiency, rigid control strategy and poor adaptability. According to the method, the current altitude and the current atmospheric pressure serve as core input parameters, the heating capacity attenuation coefficient and the convective heat transfer coefficient of the heat pump are subjected to real-time and quantitative scientific correction, the limitation that a traditional system neglects changes of environmental physical characteristics is broken through, a heat load calculation model is converted into a plateau self-adaptive model from a plain model, and the calculation efficiency is improved. The calculated total heat load demand and the heat pump output power better meet the actual physical conditions of the plateau, and therefore it is guaranteed that the basic output capacity of the temperature control system is consistent with the design expectation.

A localized sound projection system can coordinate the sounds of speakers to simulate the placement of an auditory cue in a 3D space. The system can include a plurality of speakers configured to output auditory signals and a sound localization controller configured to control the plurality of speakers to coordinate the auditory signals to simulate an origination location of a patient alarm. The sound localization controller can determine adjusted auditory signals and control a plurality of speakers to output the plurality of adjusted auditory signals. A method for dynamically controlling speaker settings in a medical environment can include determining volume settings corresponding to a speaker, monitoring a level of ambient noise corresponding to a room of a patient, controlling the volume settings of the speaker to reduce or increase a sound level output of a speaker. A patient monitoring system can be configured to physically manipulate medical devices in response to audible commands. The system can receive a plurality of vocal commands from a user and can manipulate various settings after confirmation from a user.

Embodiments of the present disclosure relates to determining multimodal data, determining at least one indication using the multimodal data, identifying at least one potential cause of efficiency or inefficiency for the at least one indication using a mapping between a plurality of potential causes and a plurality of indications, and causing a display device to display a message comprising the at least one potential cause. Embodiments of the present disclosure relates to determining a dataset of information of a plurality of first medical procedures in a plurality of first medical environments, determining a mapping among data within the dataset, receiving a first attribute of at least one second medical procedure or at least one second medical environment, and determining, using the mapping and first attribute, a second attribute of the at least one second medical procedure and the at least one second medical environment.

Apparatus and associated methods relate to management of therapeutic digital assets in a non-medical environment. In an illustrative example, non-medical digital asset(s) (NMDAs) may be evaluated relative to one or more therapeutic modalities. A corresponding therapeutic digital asset (TDA) may, for example, be generated for each therapeutically associated NMDA. The TDA may, for example, be traceably associated with corresponding risks and / or risk mitigations. Each TDA may be associated, for example, with a test profile corresponding to a risk and / or risk mitigation. A TDA may be released into a non-medical digital content delivery environment (DCDE), for example. The TDA may, for example, be monitored in the DCDE to maintain verification and / or validation (VV). A change in the DCDE affecting VV of the TDA may, for example, result in deactivation of the TDA in the DCDE. Various embodiments may advantageously permit VV of selected digital assets in a non-medical environment.

The utility model discloses a rotary selection type medical equipment integrated containing device which comprises a containing device shell and is characterized in that a hinged door is arranged on one side of the containing device shell, an office table and chair is arranged on the outer side of the containing device shell, and a computer is arranged on the office table and chair in a matched mode. The utility model relates to the technical field of storage equipment, in particular to a rotary selection type integrated storage device for medical equipment, which realizes efficient management and quick taking of the medical equipment, and is internally provided with an upper turntable and a lower turntable with the same specification, and each turntable is provided with a plurality of placement boxes for storing different types of medical equipment. Through the rotating assembly and the medical equipment partition recognition assembly, accurate positioning and rapid selection of equipment are achieved, in addition, the device is further provided with multiple auxiliary functions such as office tables and chairs, a computer, a face recognition camera, a fire extinguisher and an ultraviolet disinfection lamp, and the diversified requirements in the medical environment are met.

Systems and methods are described for determining and assigning tasks for performing medical procedures. The system may be configured to receive a plurality of data streams related to a medical procedure, wherein the plurality of data streams includes one or more of system data, medical environment data, and indications of personnel performing the medical procedure; analyze, using a task generation machine learning model, the plurality of data streams to generate natural language output relating to one or more tasks to be performed in furtherance of the medical procedure, wherein one or more inputs into the task generation machine learning model includes inputting embeddings of the plurality of data streams; analyze, via a task assignment machine learning model, the one or more tasks to assign the tasks to respective personnel; and provide indications to the respective personnel for performing the respective tasks assigned to the respective personnel.

The present technology addresses the need for color-consistent photos and videos by comparing a frame captured under ambient lighting and a frame captured using flash lighting to adjust the frame to appear as if the ambient lighting were substantially removed. Since the ambient lighting is the source of the inconsistent appearance of color, processing the frame to appear as if it were presented under consistent lighting conditions yields a color-consistent frame that can be more useful in the medical context or other contexts where consistent color is more important than ambiance created from ambient lighting. The present technology can also address unwanted shadows as well. Since the present technology adjusts the frame to appear as if the ambient lighting were substantially removed, the source of the lighting causing the shadows is also removed.

The invention provides a multi-modal sarcopenia diagnosis system, method and device and a medium, a technical framework of the multi-modal sarcopenia diagnosis system, method and device integrates multi-modal data integration, a complex neural network technology, a personalized meta-learning algorithm and an interpretable artificial intelligence technology, and aims to create an accurate sarcopenia diagnosis tool with high adaptability. The method not only makes a breakthrough on the basis of a traditional bioelectrical impedance technology, but also shows a huge potential of realizing efficient and personalized diagnosis and monitoring in diversified medical environments through application of multi-modal data fusion and an intelligent model.

The utility model discloses a low-noise intelligent oxygen cabin. The low-noise intelligent oxygen cabin comprises a cabin body, a cabin door, an inner isolation plate, an integrated control part, a monitoring sensor group and an operation part, the cabin body comprises a hollow shell made of sound insulation materials. The cabin door is made of sound insulation glass and can be installed at an access port of the cabin body in an openable mode. A sound attenuation and noise reduction isolation layer made of a sound absorption material is arranged in the inner isolation plate, and the inner isolation plate is detachably connected to the connecting step of the cabin body in a sealed mode; the monitoring sensor group monitors pressure, temperature and oxygen-enriched concentration data in real time and feeds back the pressure, temperature and oxygen-enriched concentration data to the integrated control part, and the integrated control part controls the oxygen generation module, the pressurization module and the temperature control module to work or start and stop, so that the silent oxygen chamber is at the set temperature, pressure and oxygen-enriched concentration. The utility model has the advantages of low noise, silence environment, immersion treatment of personnel in the cabin, constant-temperature, constant-pressure and constant-oxygen medical environment of the silence oxygen chamber, and good medical effect.

The present disclosure relates to a call light monitoring system designed to enhance response efficiency and patient care management in healthcare facilities. This system includes unobtrusive monitoring capabilities that detect the activation of call lights without interfering with existing facility infrastructure. The system features a real-time display that provides immediate visual feedback on the duration of active call lights, enabling staff to prioritize responses based on urgency and elapsed time. Additionally, the system includes a comprehensive reporting module that records and analyzes the history of call light durations. This historical data can be used for performance evaluations, optimizing staff allocations, and identifying patterns that may indicate areas needing process improvement. The integration of these features into a single system provides a robust tool for improving patient satisfaction and operational efficiency in healthcare settings.

An apparatus in accordance with embodiments of the present disclosure may obtain an image depicting one or more hands of a person in a medical environment; and detect, using a first machine learning (ML) model, a plurality of 2D landmarks associated with a hand of the person depicted in the image. The apparatus may further determine, using a second ML model, 3D features of the hand of the person based on the plurality of 2D landmarks. The apparatus may determine a gesture indicated by the hand of the person based on the 3D features of the hand predicted using the second ML model. Alternatively, in determining the 3D features of the hand, the system may stack the plurality of 2D landmarks across a sequence of image frames in a video, and use a third ML model to determine the 3D features of the hand based on the stacked 2D landmarks.

The invention discloses a medical consumable intelligent management method and related equipment. The method comprises the following steps: identifying identity information of a current user so as to unlock a medical consumable storage space under the condition that the identity information is matched with pre-stored identity information; querying work order information associated with pre-stored identity information based on the pre-stored identity information matched with the current user; and according to the medical operation contained in the work order information, determining the medical consumables to be received so as to prompt the current user. The problems that in a traditional medical environment, the consumable receiving process seriously depends on manual judgment and experience operation, and large uncertainty and personal errors exist can be solved.

According to at least one embodiment, a method of monitoring movement of a skeleton of at least a first person located in a healthcare setting includes: receiving first coordinate information identifying a selected periphery of a portion of a displayed video image depicting the healthcare setting; and receiving second coordinate information identifying locations of a plurality of skeletal keypoints of the first person. The method further includes: based on the second coordinate information, identifying at least a first skeletal segment defined by a first pair of skeletal keypoints; tracking coordinates identifying the locations of the first pair of skeletal keypoints over a plurality of successive video images; determining that the selected periphery is crossed by detecting an intersection between the selected periphery and the first skeletal segment; and in response to determining that the selected periphery is crossed, transmitting a message indicating the first person has crossed the selected periphery.

Systems, methods, and devices for monitoring sanitation events in a medical environment are described herein. A method includes receiving, at a monitoring device, a first signal indicative of the presence of a user device; receiving, at the monitoring device, a second signal generated by a sensor configured to detect activation of a sanitation device; using both information from the first signal and information from the second signal as inputs to a model; and calculating, based on an output of the model, an infection risk score.

The invention relates to the technical field of medical instruments, and discloses an intelligent walking aid medical robot which comprises an electric folding plate movably mounted on one side of the robot, a servo motor used for driving the electric folding plate to rotate is arranged in the robot, and a touch display screen is arranged on the side face of the robot. The industrial personal computer is arranged in the robot, the chassis is arranged at the bottom of the robot, the driving wheels and the driving motor are arranged at the bottom of the chassis, and through cooperative work of the laser radar, the ultrasonic radar and the depth camera, the surrounding environment can be sensed more comprehensively and accurately. Compared with the prior art, the obstacle can be detected more accurately, and both the short-distance obstacle and the long-distance obstacle can be effectively identified, so that the success rate and the safety of obstacle avoidance are greatly improved. In complex medical environments, such as hospital corridors and wards, pedestrians, medical equipment and other obstacles can be flexibly avoided, and the safety of patients in the transportation process is ensured.

The present disclosure provides a kind of for medical environment based on obstacle classification Anti-collision method, device, equipment, medium and program product, it is related to intelligent anti-collision field.The anti-collision method includes: obtaining the point cloud data of target body in medical environment;The point cloud data of first dynamic obstacle in target body is clustered and reconstructed, and the reconstructed cluster is obtained, and the cluster is spatially divided, to generate high dynamic convex boundary;The point cloud data of second dynamic obstacle and static obstacle in target body is recursively spatially divided, to generate low dynamic convex boundary, and the point cloud data of the body to be controlled is recursively spatially divided, to generate target convex boundary;Based on safety distance, the boundary of target convex boundary is expanded, the position relationship of the boundary after expansion and low dynamic convex boundary and high dynamic convex boundary is detected, and control instruction is generated according to the position relationship, to control the movement of the body to be controlled.

The utility model relates to the technical field of labels, and discloses a hanging ring type self-adhesive label which comprises a first label and a second label, side wings are fixedly connected to the two sides of the outer wall of the first label, pasting pads are fixedly connected to the two ends of the outer wall of the second label, and hanging rings are fixedly connected to the upper ends of the first label and the second label. According to the hanging ring type self-adhesive label, through the arrangement of the first label, the second label, the side wings and the pasting pad, the requirements for label stability and flexibility in the medical environment are met, adjustment can be conducted according to different infusion bottles through the fixing mode of the side wings and the pasting pad, and due to the fact that the side wings and the pasting pad have certain adjustability, the hanging ring type self-adhesive label is convenient to use. A medical worker can properly adjust according to the specific shape and size of an infusion bottle, so that it is ensured that the label can be attached to different types of infusion bottles, the requirements of different medical scenes are met, the label can be conveniently hung on the hanging device through the hanging ring, and stability of the infusion bottle is ensured in the infusion process.

The invention relates to a method (1) for evaluating images in a medical environment, wherein at least one image of a medical setting is acquired (S1), fed (S2) as input into a trained artificial intelligence and processed (S3). A plurality of keypoints (5) of medical objects (3) is received (S4) as an output from the trained artificial intelligence, and positioning information of the medical objects (3) in the medical setting is determined (S5) based on the received plurality of keypoints (5). The invention further relates to a method (2) for training an artificial intelligence, wherein 3D model data for a medical object (3) is acquired (S7), a plurality of keypoints (5) for the medical object (3) is determined (S8), a plurality of synthetic training images is generated (S9) based on the 3D model data, and the artificial intelligence is trained (S10) with the plurality of synthetic training images to recognize the plurality of keypoints (5).

The invention relates to the technical field of nursing safety early warning, and particularly discloses a clinical nursing potential safety hazard intelligent analysis and early warning system, which is characterized in that when a nurse performs dressing change operation on a patient, a dynamic image of a wound area on that day is acquired in real time through equipment, wound features of the patient are extracted from the dynamic image, and a wound healing index of the patient is generated in real time; a three-dimensional space track of dressing change operation of a nurse on a patient is collected in real time through wearable motion capture equipment, then key features of the nurse in the dressing change operation are obtained, and finally the operation normalization score of the nurse is evaluated; deploying a multi-channel air sampling device, collecting an air sample of the ward, and calculating a microorganism exceeding coefficient of the ward in a set dressing change time period by combining data of a temperature and humidity sensor of the ward in the set dressing change time period; the infection risk level of the corresponding wound surface of the patient is comprehensively evaluated, corresponding early warning operation is carried out, a comprehensive evaluation and early warning mechanism is provided, and the intelligence and accuracy of the medical environment are remarkably improved.

The utility model discloses an energy-saving reflux device for medical oxygen generating equipment, which comprises an oxygen generator main body, a compressor is arranged in the oxygen generator main body, the compressor is connected with a primary filtering device through a pipeline, and the primary filtering device is connected with a first adsorption tower and a second adsorption tower through pipelines and is controlled by a three-way valve. Molecular sieves are arranged in the adsorption towers, the first adsorption tower and the second adsorption tower are connected with a buffer tank through pipelines and controlled through a four-way valve, the buffer tank is connected with a finished product pipe, the finished product pipe is connected with a return pipe, the tail end of the return pipe is connected to the fourth end of the four-way valve, and the tail end of the finished product pipe is detachably connected with a filter pipe. A filter element is mounted in the filter pipe, and the finished product pipe is connected with the filter pipe through a clamping sleeve stop valve; the finished product pipe and the filter pipe are connected through the clamping sleeve stop valve, the filter element is convenient to disassemble and replace, the problems of turbulence, energy consumption and large noise in a pipeline in the prior art are solved, and the silencing plate, the buzzer and other devices are additionally arranged on the basis of existing oxygen production equipment, so that the oxygen production equipment is more suitable for a medical environment.