120 results about "CRITICAL CARE UNIT" patented technology

The invention discloses a multi-modal data fusion-based intelligent management system for a thoracic surgery monitoring unit, belongs to the technical field of medical information and artificial intelligence, and aims to solve the limitation of an existing thoracic surgery monitoring system in the aspects of multi-modal data fusion, heterogeneous data semantic alignment and intelligent deep analysis and prediction decision. The system is characterized by comprising a multi-modal data acquisition unit, a heterogeneous data fusion and semantic alignment module, an intelligent analysis and prediction decision module, a man-machine interaction and visual presentation module and a secure storage and management module. By the adoption of the technical scheme, comprehensive multi-modal data fusion, high real-time performance, deep intelligent analysis and prospective prediction can be achieved, intelligent decision support, resource optimization, continuous learning and self-adaptive optimization are provided, and the intelligent level and patient management efficiency of the thoracic surgery intensive care unit are remarkably improved.

The invention relates to the technical field of image segmentation, in particular to an intensive care unit video image processing method based on image semantic segmentation, which comprises the following steps of: acquiring a video image through monitoring camera shooting, dividing a semantic region, calculating a pixel displacement direction of each part, identifying an abnormal track, erasing interference, recombining a boundary contour, and comparing shape change. And constructing a trend and re-drawing a structure, evaluating stability in combination with directions, speeds and amplitudes, screening and correcting inconsistent labels, and outputting an index result. According to the method, track features are constructed by introducing pixel direction coding, a deviation region is identified and interference is eliminated in combination with a direction change trend, an edge structure is reconstructed by using a boundary connection sequence and curve fitting, contour division is optimized through deformation direction consistency, and labels are corrected by synthesizing direction change and boundary speed. Dynamic tracking and accurate labeling of the patient state are achieved, the abnormal action recognition efficiency and the label updating accuracy are improved, and the time sequence integrity and the space expression ability of image data are enhanced.

The invention relates to the technical field of ICU environment regulation and control, and discloses a negative pressure self-adaptive adjusting system for an ICU ward. The system comprises an area pressure monitoring module, a pressure gradient analysis module, an abnormal fluctuation judgment module, a negative pressure demand generation module, a fan parameter calculation module and an execution control module. The regional pressure monitoring module obtains pressure values of ICU wards, buffer rooms and corridors in real time; the pressure gradient analysis module calculates a pressure difference value of adjacent areas, judges a gradient state and generates an abnormal signal; the abnormal fluctuation judgment module generates an abnormal level signal accordingly; the negative pressure demand generation module generates a negative pressure maintaining or enhancing instruction according to the grade signal; the fan parameter calculation module is combined with the real-time pressure value of the ward to calculate the rotating speed of a target fan and the opening value of an air valve; and the execution control module controls an exhaust system adjusting mechanism according to the target parameters. The system can dynamically regulate and control the negative pressure, guarantees the stability of the negative pressure in a ward, and reduces the diffusion risk of harmful microorganisms.

The invention discloses an intelligent monitoring method for a ward monitoring system, and aims to solve the problems of multi-source data isolation, response lag and poor scene adaptation of the existing ward monitoring technology. The method comprises the following steps: performing multi-source monitoring data fusion processing, integrating patient physiology, equipment state and ward environment data, unifying formats, and constructing data logic association; performing real-time illness state analysis, judging data reliability in combination with equipment state, finding influence factors by environmental data, and dynamically adjusting a threshold value to generate an analysis report; performing cross-device collaborative response, and starting corresponding early warning according to the disease level; continuously optimizing data feedback, and regularly evaluating and adjusting the model and the flow. Through multi-source data collaboration and closed-loop optimization, ward monitoring accuracy and illness state intervention timeliness are improved, and the method is suitable for hospitalized wards, intensive care units and other scenes.

The invention discloses a critical patient rehabilitation evaluation system based on artificial intelligence, particularly relates to the technical field of medical information and intelligent rehabilitation evaluation, and is used for solving the problems that in an intensive care unit, multi-source data are not synchronous, nursing and treatment events are often caused, sedation and ventilation fluctuation pollution is caused, and the problem of serious illness is solved. And thus, the problem of distortion in judgment of which level cannot move nowadays and can move to can be solved. A unified time base is established through three types of anchor points of nursing, body position and cardiopulmonary rhythm, passivity and autonomy are judged in an influence time period, and the passivity is deducted and reserved; and then sedation, circulation, respiratory support and medication are compiled into safety budget with delay, linkage evidence quantity and uncertainty adjustment release rhythm, and degradation and rollback are triggered by an anti-fact track of margin segmentation, so that an executable prescription of'activity, reachable grade and reason 'is output beside a bed, event pollution and physiological fluctuation are inhibited, and the aim of preventing and treating the patient is fulfilled. And maloperation and missed operation are reduced.

1. Name of the product in this design: Intensive Care Unit. 2. Purpose of this design: To provide a place for animals to receive medical treatment and rehabilitation. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The application discloses a kind of equipment for limb training in intensive care unit, the side of square plate is fixedly connected with rotating frame, the inner wall of rotating frame is rotatably connected with rotating shaft, the surface of rotating shaft is fixedly connected with rotating rod, rotating rod can adjust the distance between each finger sleeve, the end of rotating rod away from rotating frame is fixedly connected with first spring, the end of first spring away from rotating rod is fixedly connected with finger sleeve, the end of rotating shaft away from finger sleeve is fixedly connected with rotating disc, the arc surface of rotating disc is rotatably connected with multiple limit plates, first elastic plate can push limit plate to turn back original angle, can make rotating rod rotate according to the size of patient's hand, so as to adjust every two adjacent finger sleeve to appropriate interval, when patient inserts finger in finger sleeve, patient's finger can be opened, rehabilitation exercise is used, early rehabilitation exercise is carried out, it is significant to recover muscle strength physical ability, shorten hospitalization day, reduce ICU related psychological stress disorder etc.

The present invention comprises: a head unit which generates stimuli by means of power supplied from a main body unit, so as to deliver the stimuli to a user's skin; and an intensive care unit which is provided on the head unit so that when the head unit is pressed against the user's skin, the intensive care unit pinches an area of the user's skin to protrude outward and intensively applies stimuli to the protruding skin.

1. The name of the design product: non-invasive brain electrical collection helmet. 2. The use of the design product: for fast wearing / removing in multi-line intensive care unit (ICU) environment, realizing stable collection of left central area (C3) of head / right central area (C4) of head / central line on top of head, midpoint area (Cz) from forehead to occipital region and related sites of forehead / parietal region. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention provides an intelligent delirium evaluation system for an intensive care unit, which solves the subjective limitation of a traditional delirium evaluation dependency scale through multi-modal data acquisition and mathematical model quantitative calculation, and specifically, acquires key data such as a brain tissue oxygenation index, a serum albumin concentration and a total plasma concentration in real time to obtain a delirium evaluation result. Through models such as a blood-brain barrier penetration coefficient and a free drug score, accurately calculating a core index of effective brain concentration, and dynamically adjusting an early warning threshold and a limb movement frequency in combination with ambient light intensity to divide risk levels; in the whole evaluation process, quantitative logic is constructed based on a pathophysiological mechanism, subjective judgment deviation of medical staff is avoided, and the problem of delirium intervention lag caused by missed judgment and misjudgment is effectively reduced.

The utility model relates to the technical field related to medical care, in particular to a nursing waistband for an ICU (intensive care unit), which comprises a waist support and a positioning mechanism, the positioning mechanism is arranged on one side of the surface of the waist support, and a bunching component is mounted on one side of the surface of the waist support. According to the nursing waistband for the ICU, through the arrangement of the positioning mechanism, when the body position of an ICU patient needs to be restrained, a display screen can be clicked to control the controller, and due to the fact that the four sets of air bags are symmetrically distributed, the appropriate air bags can be selected through the controller to be inflated according to needs, so that the air bags at the corresponding positions are bulged, and the nursing waistband for the ICU is convenient to use. When the air bags on the two sides are inflated, a patient can be restrained in a flat lying position, and when the air bag on the single side is inflated, the patient can be restrained in a side lying position, so that the situation that the patient cannot keep the same position for a long time, and illness rehabilitation is affected is avoided; at the moment, the dustproof cover can be opened for charging through the charging interface.

The utility model relates to the field of nursing beds, in particular to body position conversion auxiliary equipment for nursing in the intensive care medicine department. Comprising a supporting frame and a mattress plate, a supporting frame is fixedly connected to the surface of the supporting frame, two fixed guardrails are fixedly connected to the surface of the supporting frame, turnover structures are arranged on the two sides of the supporting frame, each turnover structure comprises two fixed rods, the fixed rods are fixedly connected with one side of the supporting frame, and the fixed rods are fixedly connected with the mattress plate. A U-shaped plate is fixedly connected to the lower surface of the fixing rod, two base blocks are fixedly connected to the surface of the U-shaped plate, rotating rods are rotatably connected to the interiors of the base blocks, and rotating plates are fixedly connected to the arc surfaces of the rotating rods. The body position conversion auxiliary equipment for nursing in the intensive care medicine department solves the problems that a turning-over support of an existing nursing bed can only be used for turning over the body position on one side of a patient, the body position posture cannot be changed according to the actual turning-over requirement of the patient, and inconvenience is brought to a user.

The movable flushing tower comprises the base, the stand column mechanism and the support mechanism, the supporting plate is detachably arranged on the small stand column of the stand column mechanism, and a medical instrument is fixed to the supporting plate, so that the problem that the utilization rate of the lower space of the flushing tower is insufficient is solved; therefore, the occupied area of the medical instrument in a limited operating room or an intensive care unit is reduced as much as possible. After the medical instrument is hung, the approach switch is arranged in the control circuit for locking, so that equipment damage caused by mistaken lifting under the condition that the medical instrument is hung can be prevented. The arrangement of the support brake block not only can prevent the support from being completely pulled out, but also can relatively fix the hook of the support, thereby being beneficial to preventing the infusion tube from being hung on the medical instrument.

The invention discloses an intensive care unit patient hospitalization time prediction method based on time-space historical features, and the method comprises the steps: screening patients from a public database MIMIC-IV, respectively extracting the static features of the patients and the dynamic features divided according to the hour granularity, and eliminating the dynamic features with a high missing rate. According to the method, features per hour of hospitalization records of a patient are input into a space-time encoder, features with time and space dependence are extracted, then original features and space-time historical features of historical time points are fused and input into a decoder, global and local space-time dependence is fully extracted, and the decoder outputs predicted remaining hospitalization time. In this way, the global and local dependency relationships among the dynamic data at different time points in the hospitalization records of the patient can be better captured. And finally, resource allocation is optimized and medical cost is reduced for the intensive care unit according to a prediction result, and meanwhile, scientific auxiliary decision support is provided for clinicians.

This invention relates to the field of drainage device technology, and more specifically discloses a drainage device for clinical use in ICU and its method of use, including a support assembly with a weighing assembly hanging on it; two turning pipes are connected through the top of the weighing assembly; a movable stop for providing support at different pipe diameters and a straightening assembly for straightening the drainage tube are slidably connected to the top of the support assembly; a movable assembly is installed on one side of the support assembly; multiple translational assemblies are installed above the movable assembly; and a cam assembly is provided on one side of the translational assembly. This invention, by providing the cam assembly and translational assembly, facilitates the use of multiple cams to periodically compress the drainage tube, creating localized high pressure, sequentially pushing or crushing blood clots and other blockages, and continuously suctioning them away with negative pressure, achieving automated unblocking and avoiding the risks and contamination of manual operation.

The invention provides an ICU patient gastrointestinal complication risk prediction method and system based on time sequence data and a neural network. The method comprises the following steps: collecting time sequence physiological monitoring, static clinical and medical event data with timestamps of a patient, and constructing a dynamic time sequence knowledge graph in real time to represent clinical state evolution; map semantic embedding features are extracted from the map and fused with time sequence dynamic features extracted from the physiological data and static risk features extracted from the static data, and the fusion process is guided by map entity association; historical data and the corresponding atlas are used for training the risk prediction model, and atlas attenuation type label propagation based on atlas association is carried out on training labels according to the atlas structure and the time sequence path during training so as to optimize parameters; and inputting real-time data of a patient to be predicted into the trained model, and outputting a risk prediction result of gastrointestinal complications in a future time window. According to the method, the dynamic knowledge graph and deep learning are fused, and the accuracy and interpretability of risk prediction are improved.

This disclosure provides a secretion centric therapy to overcome muscle wasting. Provided are mesenchymal stem cell secretion-based therapies to overcome muscle wasting due to: old age; as a consequence of immobilization (e.g., mobility restricted or paralytics administered); due to use of ventilators (e.g., in an ICU or long-term immobilization); in microgravity during long space flights; or, resulting from drug side effects (e.g., the use of weight loss drugs, chemotherapies, etc.). Uris disclosure further provides methods and compositions for modulating, including regulating or altering, the structure and function of diaphragm muscle cells and / or diaphragm muscle fibers in particular, and skeletal muscle in general. In certain embodiments extracellular vesicles are applied to patients affected by muscle wasting.

The utility model relates to the technical field of intensive care unit nursing, and discloses a nursing medicine feeder which comprises a pressing head, one end of the pressing head is fixedly connected with a piston rod, one side of the piston rod is fixedly connected with a piston head, the surface of the piston head is slidably connected with a piston tube, one side of the piston tube is fixedly connected with a medicine feeding tube, and the medicine feeding tube is fixedly connected with a medicine feeding pipe. A medicine storage cylinder is connected to the surface of the medicine feeding pipe in a penetrating mode, a motor box is fixedly connected to the surface of the medicine storage cylinder, a stirring assembly is fixedly connected to the interior of the motor box, a plurality of heating assemblies are fixedly connected to the inner side wall of the medicine storage cylinder, and a leakage-proof assembly is fixedly connected to one side of the medicine feeding pipe. According to the nursing medicine feeder, through the arrangement of the leakage-proof assembly, when the nursing medicine feeder is used, liquid medicine is squeezed by the piston rod to flow out of the liquid outlet, the leakage-proof cover is attached to the mouth of a patient, and the liquid outlet is inserted into the mouth of the patient, so that the effect of preventing leakage of the liquid medicine is achieved, and pollution to the environment and medical equipment caused by leakage of the liquid medicine is avoided.

This utility model relates to the technical field of waste collection devices, specifically a waste collection device for intensive care units (ICUs). The device includes a waste collection unit with a collection mechanism inside. The collection mechanism includes a funnel, with both sides of the funnel fixedly connected to the waste collection unit. Several fixed seats are fixedly connected to the lower surface of the funnel. A rotating rod is rotatably connected inside every two fixed seats. A movable baffle is fixedly connected to the arc surface of the rotating rod, and two springs are sleeved on the arc surface of the rotating rod. This invention solves the problem that traditional waste collection devices cannot separate the waste collection unit from the medical waste when collecting medical waste, increasing the risk of bacterial infection and hindering the collection of medical waste, thus reducing the need for waste collection devices.

The invention discloses a model for early prediction of acute kidney injury risk after a sepsis patient is transferred into ICU based on clinical variables, 1551 sepsis patients are included in the research, clinical variables of the patients in the ICU within 24 hours are collected, five most important clinical variables related to acute kidney injury are screened out, XGBoost is adopted to construct a prediction model, and the risk of acute kidney injury is predicted. The prediction model is good in performance, an SHAP method is introduced to generate a feature importance map and an individual prediction interpretation map, the contribution degree of each index to risk prediction of a specific patient can be visually displayed, and the cause of SA-AKI of the patient can be explained, so that a doctor can take targeted measures preventively.

This application provides a multi-agent, multimodal collaborative method, device, equipment, and storage medium for diagnosing the condition of patients in the intensive care unit (ICU), belonging to the field of medical artificial intelligence and intelligent analysis technology for intensive care. The method includes: receiving multimodal clinical monitoring data in an ICU setting, including bedside medical images, continuous life time series, and critical care clinical text; identifying and adaptively routing the input data through a modality detection agent, distributing it to corresponding domain expert agents for pathological and physiological feature extraction; constructing a patient-centric graph structure representing the dynamic clinical condition of ICU patients through a knowledge graph agent based on the features output by each domain expert agent, this graph structure integrating structured medical knowledge of entity extraction and relational reasoning; further, inputting the constructed graph structure and original multimodal features into a collaborative agent, generating the final ICU patient condition diagnosis result (such as mortality prediction, ICU long-stay prediction, etc.) and a traceable reasoning path through graph traversal and collaborative reasoning. This application effectively breaks down data silos between different monitoring devices in the intensive care unit environment, dynamically captures cross-modal associations specific to critically ill patients, and significantly improves the accuracy of critical care clinical diagnosis and medical trust.

The invention provides a pressure injury preventing air bag body position cushion based on a multi-mode perception algorithm, which comprises a head air bag group, a back air bag group, a sacrococcygeal region air bag group, a lower limb air bag group and an upper limb air bag group, and further comprises an air bag unit connected with the head air bag group, the back air bag group, the sacrococcygeal region air bag group, the lower limb air bag group and the upper limb air bag group, the head air bag set, the back air bag set, the sacrococcygeal portion air bag set, the lower limb air bag set and the upper limb air bag set are all connected with the intelligent inflation control system, and through the air bag structure design and functional modules, diversified body position changes are achieved, pressure injuries of a patient are reduced, and the safety of the patient is improved. Meanwhile, the special nursing requirements of different patients, such as a patient with a rear pillow craniotomy, a patient needing prone position treatment and a patient with quadriplegia, are met, the nursing effect of the patient in the intensive care unit is improved, and the rehabilitation speed of the patient in the intensive care unit is increased.

According to the technical scheme, the pressure sore prevention cushion comprises a main body and a flexible cushion seat, supporting ribs are arranged at the top of the main body, a supporting groove is formed in the position, located at the gap position of the supporting ribs, of the top of the main body, and the flexible cushion seat is installed in the supporting groove. A sponge supporting column is mounted at the top of the flexible cushion seat, an air inlet branch pipe is mounted in the main body and close to the bottom, an air outlet pipe is connected to the outer surface of the air inlet branch pipe, and an air outlet branch pipe is mounted on the outer surface of the air outlet pipe and located in the flexible cushion seat. The utility model relates to a pressure sore prevention cushion for nursing a patient in an intensive care department, which solves the problems that the existing pressure sore prevention cushion mainly depends on the air permeability of a material, the air permeability is limited, and the possibility that the skin of the patient suffers from pressure sores still exists in the continuous use process of the patient in the intensive care department, and improves the ventilation and air permeability of the pressure sore prevention cushion. Therefore, the probability that the skin of the patient suffers from pressure sores is reduced.

1. The name of the design product: drip stand for intensive care unit. 2. The use of the design product: the design product is used for water hanger for intensive care unit. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application relates to the technical field of ICU environment regulation, and discloses a negative pressure self-adaptive regulation system for an ICU ward. The system comprises a regional pressure monitoring module, a pressure gradient analysis module, an abnormal fluctuation judgment module, a negative pressure demand generation module, a fan parameter calculation module and an execution control module. The regional pressure monitoring module obtains the pressure values of the ICU ward, a buffer room and a corridor in real time; the pressure gradient analysis module calculates the pressure difference values of adjacent regions, judges the gradient state and generates an abnormal signal; the abnormal fluctuation judgment module generates an abnormal grade signal according to the abnormal signal; the negative pressure demand generation module generates a negative pressure maintenance or enhancement instruction according to the grade signal; the fan parameter calculation module calculates the target fan rotating speed and the air valve opening value in combination with the real-time pressure value of the ward; and the execution control module controls the regulation mechanism of the exhaust system according to the target parameters. The system can dynamically regulate and control the negative pressure, ensures the stability of the negative pressure of the ward and reduces the risk of harmful microorganism diffusion.

The application provides a new type of physical rehabilitation device for a critical care department, and relates to the field of rehabilitation devices, which comprises a support, an inclined rod arranged on the support and having a downward inclination trend from the top surface of the support, a treadle arranged on the inclined rod and comprising two treadle plates, and a bent rod arranged on the inclined rod and provided with a torsional spring between the bent rod and the inclined rod. The application realizes accurate linear guidance of the movement direction through cooperation of the spring telescopic rod and the sliding groove, adopts the elastic moving column and the inclined sliding groove to complete dynamic pressure self-adaptive adjustment, and combines with the physiological curved surface fitting design of the outwardly expanding triangular support frame, so as to finally achieve the stable training track, multi-directional dispersed joint impact force and multi-muscle group collaborative rehabilitation effect covering the quadriceps femoris to the gastrocnemius.

The utility model relates to the field of medical instruments, and discloses a limb positioner for an ICU (Intensive Care Unit) neurosurgery patient, which comprises a restraint seat and a main pipeline, the upper end of the restraint seat is provided with a bracket cambered surface, a plurality of groups of restraint components are detachably mounted on the cambered surface in an array manner along the axial lead direction of the cambered surface, and the upper surface of the main pipeline is provided with an air tap. The air nozzle is connected with the restraining component through an air pipe, an electromagnetic valve is arranged at the joint of the air nozzle and the air pipe, a side nozzle is arranged on the side face of the main pipeline and connected with an air pump, the restraining component comprises an outer circular ring, an inner air bag is arranged on the inner ring face of the outer circular ring, a convex lug extends on the outer ring face in the radial direction, and the interior of the convex lug is hollow and communicated with the inner air bag. The surface of the lug extends to form a mouthpiece, the air pipe is connected with the mouthpiece, and a barometer and a pressure release valve are arranged on the main pipeline.

1. Name of the product in this design: Fluid drainage bottle (intensive care unit). 2. Intended use of this design: for pneumothorax, pleural effusion and closed thoracic drainage after surgery. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The design for which protection is sought includes color.

The invention discloses an inhalation type atomization drug delivery device for the intensive care medicine department, and belongs to the technical field of inhalation drug delivery equipment. Comprising a shell, a medicine storage box is fixedly installed in the shell, an atomizer body is fixedly installed in the shell, the input end of the atomizer body is communicated with the medicine storage box, and a medicine feeding pipe is fixedly installed on the atomizer body. When the medicine adding amount needs to be adjusted, a user can firstly rotate a rotary knob, the rotary knob is in threaded fit with a threaded rod, the threaded rod is fixedly connected with a baffle, and the baffle is horizontally installed in a medicine feeding groove in a sliding mode, so that the threaded rod cannot rotate, and the threaded rod can be driven to move in the horizontal direction in the rotating process of the rotary knob; and in the moving process of the threaded rod, the baffle can be driven to move along the drug administration groove, so that the adding amount of different drugs is changed, the drugs do not need to be manually proportioned in each time of atomization drug administration, and the effect of improving the convenience of the atomization drug administration device is achieved.