203 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 discloses a prone position ARDS patient death risk prediction system based on interpretable machine learning, which constructs an interpretable machine learning prediction model based on clinical data of an ARDS patient before the ARDS patient receives prone position ventilation treatment, and is used for identifying high-death-risk crowds in an ICU (Intensive Care Unit). According to the method, an optimal prediction model is determined by performing preprocessing and correlation and collinearity screening on original variables, selecting key features by adopting Lasso regression and combining multi-model training and cross validation. On the basis, an SHAP method is introduced to explain a model decision basis, a column graph is constructed, visual expression of a risk assessment result is realized, and clinical understandability and practicability of the model are improved, so that auxiliary support is provided for precise treatment and resource allocation.

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 belongs to the technical field of early warning systems in Internet platforms, and discloses an Internet of Things-based early warning system and early warning method for an intensive care unit, and the system carries out the abnormal recognition of physiological parameters through a pre-trained early warning model, fuses response task features, medical worker resource states and historical scores based on a response scheduling module, and carries out the early warning of the medical worker. A responder assignment strategy is optimized, and the matching accuracy is improved; furthermore, periodic data acquisition is realized through a response closed-loop recording module, an early warning response responsibility chain containing node and causal link information is constructed, and on the basis, high-risk nodes and bottleneck regions are identified, task allocation weights and path optimization rules are dynamically adjusted, and adaptive updating of scheduling logic is realized; and early warning re-response and rescheduling based on new logic are supported, and a feedback closed loop driven by data is formed, so that the timeliness and accuracy of early warning response are effectively improved, and the risk of intervention failure caused by response lag is reduced.

The invention discloses an intensive care treatment scheme intelligent decision-making system based on data driving, and relates to the technical field of medical information, and the system comprises a data collection module which is used for obtaining multi-source clinical data of an intensive care unit in real time; and the decision generation module is connected with the data acquisition module and is used for generating a treatment scheme according to the clinical data. According to the intensive care treatment scheme intelligent decision-making system based on data driving, through four-dimensional snapshot construction of a dynamic decision-making chain and medical interpretable evolution relation labeling, continuous logic of an intensive care decision-making is guaranteed, data abnormal driving change and medical logic jump risks are effectively identified, medical errors caused by decision-making faults are reduced, and the decision-making efficiency is improved. The abstract decision-making process is converted into a concrete evidence chain capable of penetrating auditing, and the clinical responsibility traceability and the doctor-patient credibility are improved.

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 hospital gown special for the ICU patient comprises a one-piece gown and sleeves arranged on the left side and the right side of the one-piece gown, the one-piece gown comprises a front part and a rear part connected with the front part, a trapezoidal neckline is arranged on the front part, and a first window and first covering cloth used for shielding the first window are arranged on the portions, on the two sides of the trapezoidal neckline, of the front part respectively. A hanging belt is formed between the trapezoidal neckline and the first window, and the hanging belt is formed by movably connecting two cloth belts. Due to the design of the trapezoidal neckline, the neckline is wider, and tracheal incision nursing is facilitated; the first window on the left side of the trapezoidal neckline is used for routing of an electrocardiograph monitoring lead wire, and the first window on the right side of the trapezoidal neckline is used for penetration of a puncture pipeline.

The invention discloses a nursing sputum suction device for an intensive care unit, and relates to the technical field of medical instruments, the nursing sputum suction device comprises a machine body, the machine body is provided with a handle and an operation panel, the nursing sputum suction device further comprises a placement table, the placement table is provided with a sputum collection tank, a medicine storage tank and a cleaning tank, and the sputum collection tank is used for collecting sputum; the sputum collection tank is used for collecting sputum, the medicine storage tank is used for storing liquid medicine for reducing sputum, the cleaning tank is used for diluting sputum, the sputum collection tank is communicated with a sputum suction pipe, the medicine storage tank is fixedly communicated with a medicine outlet pipe, the cleaning tank is fixedly communicated with a discharge pipe, and the medicine outlet pipe is fixedly communicated with a medicine spraying pipe. The sputum suction device has the advantages that after sputum suction is completed, cleaning liquid can automatically flow in the sputum suction pipe to clean the sputum suction pipe, meanwhile, the cleaning liquid can dilute and disinfect sputum, overall sanitation is guaranteed, sanitation and safety of the next sputum suction operation are guaranteed, and follow-up cleaning of the sputum collection tank is facilitated.

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.

The embodiment of the invention provides an ICU (Intensive Care Unit) death risk prediction method, device and equipment based on graph convolution, which are applied to the field of medical data processing, and the method comprises the following steps: obtaining medical time sequence data of a patient in a preset time period, and preprocessing the medical time sequence data; performing multi-scale time slice division on the preprocessed medical time sequence data to obtain time sequence representations of different granularities, and adding position information codes into the time sequence representations of different granularities; inputting the time sequence representations of different granularities into a graph convolutional neural network for analysis processing to obtain final feature representations, the final feature representations including association information among features in the time sequences; inputting the final feature representation into a Transform encoder, and capturing long-term dependence on a time dimension through a multi-head self-attention mechanism to obtain a comprehensive feature representation; and the comprehensive feature representation is analyzed and processed, and the death risk probability is output, so that the accuracy of ICU death risk prediction is improved.

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 invention relates to the field of clinical treatment, and discloses a prone position ventilation multi-part supporting body position pad for severe I CU, which comprises a sickbed, a hand supporting pad, an air cushion, a chest supporting pad and a knee joint supporting pad, and is characterized in that the hand supporting pad, the air cushion, the chest supporting pad and the knee joint supporting pad are arranged on the upper surface of the sickbed; a supporting block is arranged on the upper surface of the sickbed, the supporting block is composed of a buffer layer and a gel layer, a fixing block is fixedly connected to the outer wall of the supporting block, a sliding assembly is arranged in the fixing block, and a connecting column is fixedly connected to the outer wall of the sliding assembly. Through mutual cooperation of a buffer layer, a gel layer, a connecting block, a sliding column, a baffle, a spring, a connecting column and a limiting block, the supporting effect on the feet of a patient is improved, the phenomenon that the patient has a pressure sore symptom is avoided, the position of a supporting block can be adjusted, and the using requirements of patients with different heights can be met.

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 discloses a closed-type intensive care unit disinfection device, mainly relating to the field of disinfection device technology. It includes a disinfection chamber with a door hinged to its surface, an observation window fixedly connected inside the door, and an isolation plate fixedly connected inside the chamber. It also includes a disinfection structure disposed on the surfaces of the disinfection chamber and the isolation plate for thoroughly disinfecting the protective clothing or gowns of medical personnel. The first disinfection component includes a booster pump. The beneficial effects of this invention are: through the operation of the disinfection structure, and with the cooperation of the first disinfection component, the second disinfection component, the support component, and the cleaning component, it achieves both thorough disinfection of the torso of medical personnel and cleaning and disinfection of foreign objects on the soles of their shoes, enabling the disinfection device to thoroughly disinfect the protective clothing or gowns of medical personnel, greatly improving the practicality of the disinfection device.

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.

1. Name of the design product: Medicine rack (for intensive care unit). 2. Use of the design product: This design product is used for placing medicines. 3. Design key points of the design product: Lies in the shape. 4. Picture or photograph that best shows the design key points: Perspective view. 5. The rear view is symmetrical with the front view, so the rear view is omitted; the right view is symmetrical with the left view, so the right view is omitted.

1. Name of the designed product: badge (intensive care unit nurse's cap). 2. Use of the designed product: the designed product is used for wearable badges. 3. Design points of the designed product: in the pattern. 4. Picture or photo that best indicates the design points: front view.

The invention provides an audio playing method based on vital sign feedback and related equipment. The emotion of a patient in an intensive care unit can be relieved. The method comprises the following steps: periodically detecting vital sign data of a target patient; inputting the vital sign data into a pre-trained physiological trend prediction model to obtain predicted sign data corresponding to the target patient; judging whether target physical sign data with a predicted value reaching a preset threshold value exists in the predicted physical sign data or not; if yes, generating a target audio corresponding to the target patient according to the target sign data; and playing the target audio.

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.

An air flow delivery system for delivering conditioned air to an enclosure housing infectious disease patients, includes: (a) an air intake pipe having a first bidirectional valve therein, wherein when the bidirectional valve is in an open state, ambient air enters the enclosure; (b) an air handler, the air handler coupled to the air intake pipe; and (c) an air supply duct installed within at least one wall of the enclosure, wherein the air supply duct delivers conditioned air from the air handler to one or more air supply vents positioned at or near a bottom surface of the enclosure. The enclosure is selected from a group consisting of a pavilion, a building, a room, a nursing home, an airplane, a vehicle, a train, a ship, a critical care unit in a hospital, and a free-standing, mobile enclosure.

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.