347 results about "Patient ventilated" patented technology

The invention relates to the technical field of biomedical engineering, and discloses an acute respiratory distress syndrome mechanical ventilation adaptive adjustment control system, which comprises a data acquisition module, a signal preprocessing module, a physiological parameter calculation module, a prediction module, a decision and control logic module and the like. Wherein the prediction module predicts a dynamic lung compliance change trend by using a long short-term memory neural network model, and the decision and control logic module generates a ventilation parameter adjustment instruction according to a prediction result and a clinical safety rule. By adopting the technical scheme, the system overcomes the hysteresis of traditional feedback regulation, reduces the risk of breathing machine related lung injury, optimizes oxygenation and carbon dioxide removal efficiency, and provides an accurate, safe and individualized mechanical ventilation treatment scheme.

A diaphragm measurement device includes at least one electronic processor programmed to perform a diaphragm measurement method including receiving ultrasound imaging data of a dimension of a diaphragm of a patient during inspiration and expiration while the patient undergoes mechanical ventilation therapy with a mechanical ventilator; receiving respiratory data of the patient during inspiration and expiration while the patient undergoes the mechanical ventilation therapy; calculating a diaphragm thickness metric based on the received ultrasound imaging data of the diaphragm of the patient and the received respiratory data; and displaying, on a display device, a representation of the calculated diaphragm thickness metric.

The invention relates to the technical field of biology, and discloses a mechanical ventilation patient airway management optimization method and system based on artificial intelligence, electronic equipment, a medium and a program product, and the method comprises the steps: assembling a sound collection device, collecting airway sound wave data, and screening and classifying the airway sound wave data according to requirements; processing the reserved airway sound wave data, removing redundant information, and separating the airway sound wave data into single respiratory cycle samples by detecting sound loss between breaths; establishing an ANN classification and identification model of the airway secretions, determining parameter setting of the model, and verifying stability and accuracy of the trained ANN classification and identification model of the airway secretions by using the airway sound wave data; and determining an output result of the ANN classification and identification model of the airway secretions, and judging whether the airway secretions of the patient exist or not according to the output result of the ANN classification and identification model of the airway secretions.

The invention discloses a patient transfer intelligent monitoring platform based on the Internet of Things and the intelligent wearing technology, and relates to the technical field of transfer intelligent monitoring, and the platform comprises an intelligent wearing equipment module which is used for carrying out the time sequence collection of physical sign data in a transfer process, and obtaining a physical sign monitoring data sequence; the medical equipment interconnection module is used for carrying out simultaneous multi-terminal data acquisition; the data transmission network module is used for determining an infusion pump infusion speed analysis result, a physical sign abnormal mode analysis result, a monitoring terminal abnormal mode analysis result and an oxygen consumption reserve analysis result; and the alarm and display module is used for graded alarm and shared display of the electronic handover bill. The technical problems that in the prior art, continuous dynamic monitoring cannot be achieved in the transferring process of the invasive mechanical ventilation patient, the early warning capability is lacked, and handover communication is not smooth are solved, and the technical effects that physical sign data and medical equipment parameters in the transferring process of the patient are collected in real time, and transferring monitoring continuity and handover efficiency are improved are achieved.

The invention provides a man-machine asynchronous diagnosis method, device and equipment for a mechanical ventilation patient and a storage medium. Relates to the technical field of medical equipment intelligent control. The method comprises the following steps: carrying out smoothing processing and resampling processing on PVA waveform data to obtain real data; a PVA data generation model based on a generative adversarial network is constructed, the PVA data generation model is trained and evaluated, generated data is obtained based on the trained PVA data generation model, a deep learning classification model is constructed, and the deep learning classification model is a hybrid model based on a convolutional neural network and a long and short term memory network. And training and evaluating a deep learning classification model based on the generated data and the real data, and realizing PVA event classification based on the trained deep learning classification model. According to the method, the limitation of insufficient model generalization ability caused by insufficient data in a traditional method is overcome, and more accurate support is provided for clinical decision making, so that the treatment effect of critical patients is remarkably improved.

The invention relates to a gastric juice reflux prediction device for a patient with mechanical ventilation, and belongs to the technical field of medical equipment. The gastric juice reflux prediction device comprises a first pH value sensor used for measuring the pH value of the oral cavity or epiglottis area of a patient; the second pH value sensor is used for measuring the pH value of the area where the dilation air bag on the trachea cannula is located; the analysis unit is used for receiving the pH value collected by the pH value sensor and analyzing and processing the pH value, and the analysis unit is configured to determine the change condition of the pH value of the oral cavity or epiglottis area of the patient along with time according to the pH value provided by the first pH value sensor; according to the pH value provided by the second pH value sensor, the change condition of the pH value of the upper end of the dilation air bag along with time is determined, and the dilation air bag on the trachea cannula can be arranged in the trachea of the patient and makes contact with the trachea wall.

The present invention discloses a human body respiratory heat metabolism detection device and method based on a piston-type cylinder. The detection device includes a flow rate detection module, a respiratory gas sampling module, a gas concentration analysis module, a control unit, and a computer. The flow rate detection module is used for bidirectional flow rate detection of respiratory gas; the respiratory gas sampling module is used for sampling collection, physical averaging, and constant flow discharge of respiratory gas; the gas concentration analysis module is used for detecting and calibrating the concentrations of oxygen and carbon dioxide in respiratory gas; the control unit is responsible for controlling and signal acquisition of various motors, valves, sensors, etc. in the device; the computer is responsible for data collection, calculation and analysis, human-computer interaction, and result display. The detection method is to first carry out concentration calibration, then implement metabolic tests on subjects based on a respiratory mask or a ventilator, and finally calculate metabolic indicators according to the measured gas concentration and flow rate parameters. The present invention can be applied to two metabolic detection scenarios of mechanical ventilation and spontaneous breathing, and the test is reliable and easy to be implemented in engineering.

The invention discloses a human body breathing heat metabolism detection device and method based on a piston type air cylinder. The detection device comprises a flow detection module, a respiratory gas sampling module, a gas concentration analysis module, a control unit and a computer, wherein the flow detection module is used for two-way flow detection of respiratory gas; the breathing gas sampling module is used for sampling and collecting breathing gas, physically averaging and discharging the breathing gas at constant flow; the gas concentration analysis module is used for concentration detection and concentration calibration of oxygen and carbon dioxide in respiratory gas; the control unit is responsible for control and signal acquisition of motors, valves, sensors and the like in the device; the computer is responsible for data collection, calculation and analysis, man-machine interaction and result display. The detection method comprises the following steps: firstly, carrying out concentration calibration, then, carrying out a metabolism test on a subject based on a breathing mask or a breathing machine, and finally, calculating and obtaining a metabolism index according to the measured gas concentration and flow parameters. The method can be applied to two metabolism detection scenes of mechanical ventilation and spontaneous respiration, the test is reliable, and engineering realization is easy.

The invention discloses a natural ventilation and mechanical ventilation interconvertible road tunnel ventilation system, which is arranged in a one-way driving road tunnel and comprises a tunnel road natural ventilation facility and a tunnel road mechanical ventilation facility, the tunnel road natural ventilation facility comprises a natural ventilation duct, a natural ventilation shaft and a natural ventilation valve; the tunnel road mechanical ventilation facility comprises a mechanical ventilation duct, a mechanical ventilation shaft, a mechanical ventilation valve and a ventilator. A natural ventilation opening of the one-way driving road tunnel is sequentially connected with a natural ventilation valve and a natural ventilation shaft through an air duct. The natural ventilation duct between the natural ventilation valve and the natural ventilation opening is sequentially connected with a tunnel mechanical ventilation valve, a ventilator and a mechanical ventilation shaft through a tee joint; the road tunnel mechanical ventilation valve and the ventilator are in a chain opening and closing relation. The invention provides a tunnel ventilation system which not only can meet the tunnel ventilation requirement, but also can solve the problems of land acquisition, landscape, environment and the like.

The invention discloses a method for calculating mechanical ventilation and heat dissipation design parameters of a power transformation and distribution room based on Excel-VBA. The method comprises the following steps: (1) designing a basic input interface required for calculating the design parameters of a mechanical ventilation and heat dissipation system of the power transformation and distribution room; and (2) designing a calculation area interface for calculating design parameters of the mechanical ventilation and heat dissipation system of the power transformation and distribution room and corresponding codes. According to the method, a calculation model of the mechanical ventilation and heat dissipation design parameters of the power transformation and distribution room is designed by utilizing Excel-VBA, automation of calculation of the mechanical ventilation and heat dissipation design parameters of the power transformation and distribution room is realized, and the working efficiency of calculation of the mechanical ventilation and heat dissipation design parameters of the power transformation and distribution room is improved.

The present invention relates to a method and system for monitoring cardiac functions and quantifying objective, operator-independent indices of cardiac functions. The invention quantifies both ventricle cavity and wall dynamics. It provides a picture with a comprehensive view of the six phases of cardiac contraction, relaxation and filling (isovolumic contraction, ejection, isovolumic relaxation, rapid filling, diastasis and atrial kick). It enables to quantify the effect of respiration and mechanical ventilation on cardiac chamber loadings and thereby to optimize mechanical ventilation in the general and cardiac intensive care units. It enables to assess the phase differences between the electrical activations and mechanical contractions of the various chambers and thus to adjust and optimize the parameters of cardiac synchronization therapies of ventricle chambers and chamber walls (as cardiac resynchronization therapy).

The invention discloses an anti-parabolic overbridge enclosure structure which comprises a frame, a plurality of ventilation coamings and a plurality of daylighting panels. The ventilation coaming is arranged on the frame, the ventilation coaming comprises a first plate body and a second plate body which are arranged in parallel at an interval, a plurality of first ventilation holes are formed in the first plate body, and a plurality of second ventilation holes staggered with the first ventilation holes are formed in the second plate body; the inner wall of the first plate body is provided with a plurality of first cylinders corresponding to the first ventilation holes in position, and the inner wall of the second plate body is provided with a plurality of second cylinders corresponding to the second ventilation holes in position. The anti-throwing overpass enclosure structure can simultaneously meet various functions of ventilation, heat insulation, light transmission, rain sheltering and anti-throwing, pleasant microclimate in the overpass can be adjusted by a passive energy-saving means, mechanical ventilation and air conditioning are not needed at all, and the anti-throwing overpass enclosure structure is very energy-saving and environment-friendly and has good economic benefits and social benefits.

The invention discloses a breathing machine waveform classification and identification method based on improved YOLO target detection, and the method comprises the steps: 1, obtaining a normal breathing machine waveform image and an abnormal breathing machine waveform image as a training sample, and enabling the training sample to represent the corresponding relation between the shapes and parameters of different breathing machine waveforms and the mechanical ventilation states of the different breathing machine waveforms; step 2, performing batch labeling on the obtained training samples, obtaining mechanical ventilation state text information corresponding to the breathing machine waveform image and position information corresponding to the breathing machine waveform in the training samples, and establishing a breathing machine waveform recognition library; 3, introducing an improved preprocessing module, processing a training sample by using an improved YOLO target detection algorithm training model, and carrying out breathing machine waveform image classification and recognition training to obtain a breathing machine waveform image classification and recognition model; and step 4, completing automatic classification and identification of the breathing machine waveform image by using the breathing machine waveform image classification and identification model. According to the method, the waveform of the respirator can be detected online in real time, and the abnormal waveform classification accuracy is high.

The invention discloses a breathing machine withdrawal decision-making method and a breathing machine withdrawal decision-making system based on combination of diaphragm ultrasound and an RSBI index, and the method comprises the steps: firstly, evaluating the withdrawal success rate of successful removal of a breathing machine by a patient to be withdrawn based on a shallow fast breathing index, and evaluating the withdrawal success rate of successful removal of the breathing machine by the patient to be withdrawn based on a diaphragm ultrasound index; and then, fusing the machine withdrawal success rates corresponding to the two indexes, and determining a fused machine withdrawal success rate of successfully withdrawing the breathing machine of the patient to be withdrawn. Therefore, the rapid shallow breathing index and the diaphragm ultrasound index can be combined to comprehensively evaluate the success rate of machine withdrawal of the patient, and the accuracy of machine withdrawal decision of the neurological critical patient is improved, so that the most appropriate machine withdrawal opportunity of the breathing machine is found, and unnecessary mechanical ventilation time and bad prognosis related to machine withdrawal failure are reduced.

The invention provides a method and system for determining the volume of the end-expiratory lung and a breathing machine, and relates to the technical field of breathing detection.The method comprises the steps that the volume-impedance relation of the lung of a target object is obtained; and determining the end-expiratory lung volume of the target object based on the absolute impedance of the lung of the target object at the end-expiratory moment and the volume-impedance relationship. According to the method and system for determining the end-expiratory lung volume and the breathing machine, the end-expiratory lung volume can be determined, lung function evaluation, mechanical ventilation strategy guidance, prognosis improvement and the like are facilitated, and the practicability is high. And meanwhile, the device also has the advantages of no radiation, no invasion, low cost, convenience in operation, less time consumption, no requirement on special working environment, low matching requirement on patients, bedside operation, suitability for critical patients and the like.

The present application relates to a mechanical ventilation treatment data management method and system, belongs to the technical field of management and real-time analysis of mechanical ventilation therapy data, solving the problem that huge heterogeneous data causes many difficulties to clinical application as well as affects the quality of mechanical ventilation therapy, thereby improving the working efficiency of data processing by doctors and nurses. The method comprises: putting patient information and real-time received mechanical ventilation therapy data into a standard data structure object respectively to form standardized data; the mechanical ventilation therapy data comprises mechanical ventilation data; performing data cleaning on the standardized data to obtain a medical data set; performing data labeling on the mechanical ventilation therapy data in the medical data set; the data labeling comprises: marking amplitudes, frequencies, and shapes of waveform data, marking measurement values of numerical data, and marking abnormal events; when a report generation instruction is received, generating a mechanical ventilation therapy data analysis report based on the medical data set with the data labeling.

The invention belongs to the technical field of medical instruments, and discloses an ice water spraying device for relieving thirst feeling of a mechanical ventilation patient, the ice water spraying device comprises a water storage cavity, a water guide pipe and an ultrasonic atomization nozzle, the ultrasonic atomization nozzle comprises a water inlet and a spraying nozzle, the water inlet is communicated with the water guide pipe, and the ultrasonic atomization nozzle is further connected with a generator; one end of the flow guide pipe is communicated with the bottom of the water storage cavity, the other end of the flow guide pipe is communicated with the condensation cavity, and a condensation piece is arranged in the condensation cavity; the end, away from the water inlet, of the water guide pipe communicates with the condensation cavity and is provided with a one-way valve. The first driving piece is arranged in the water storage cavity, and the second driving piece is arranged in the condensation cavity. Through the arrangement of the condensation cavity, water can be condensed in a small-amount and quantitative mode, and the condensation cost is reduced.

The invention provides an intelligent pressure-reducing non-invasive mechanical ventilation mask based on a flexible pressure sensing technology, which comprises a mechanical ventilation mask, a display and alarm module and a mask state AI analysis system, and aims to solve the problem that the existing non-invasive mechanical ventilation mask is easy to cause pressure injury to the face of a patient in the use process. The flexible pressure sensing technology is combined with the non-invasive mechanical ventilation mask, the pressure magnitude and the pressure distribution condition of the mask and all contact parts of the face of a patient are accurately sensed, and a basis is provided for adjusting the mask wearing mode and pressure parameters; through pressure information fed back in real time, the wearing state of the mask is adjusted in time, pressure distribution is optimized, local pressure is prevented from being too high, and therefore pressure injury is effectively prevented. Flexible sensing and intelligent prevention are integrated, when it is monitored that the pressure exceeds a preset threshold value, the system automatically sends out an early warning prompt signal, meanwhile, prevention analysis is conducted according to the state of a patient, medical staff is reminded to adjust the face mask wearing state in time, and intelligent prevention is achieved.

A method of operating an artificial ventilation system is provided that includes providing an artificial ventilation system that includes: (i) a convertible ventilator circuit configured to switch between manual and mechanical ventilation use; (ii) a patient manifold connected to the convertible ventilator circuit and including one or more sensor ports; (iii) an airway adjunct connector connected between the patient manifold and an airway adjunct in physical contact with a patient; and (iii) a data acquisition unit including one or more sensors configured to interface with the one or more sensor ports of the patient manifold. The method also includes determining, by the data acquisition unit, whether the airway adjunct connector is at least partially disconnected from the patient manifold and signaling an alarm by the data acquisition unit when the at least partial disconnection is detected.

The utility model belongs to the technical field of cooling towers, and discloses a mechanical ventilation cooling tower which comprises a cooling tower body, a water storage bin is arranged at the lower end of the cooling tower body, filler is fixedly installed in the cooling tower body, and a guide pipe is fixedly installed in the middle of the filler. The fixing frame is welded to the inner wall of the upper end of the cooling tower body, the lower end of the fixing frame is rotationally connected with a rotating disc, the rotating disc is rotationally connected with the upper end of the guide pipe, a plurality of blades are fixedly installed on the outer wall of the rotating disc, and spray heads are fixedly installed on the outer walls of the ends of the blades. Hot water is pumped into the guide pipe through the water pump, then the hot water in the guide pipe enters the blades on the outer wall of the rotating disc and is finally sprayed out through the spray heads on the outer walls of the blades, and when the hot water is sprayed out from the spray heads, thrust is generated on the blades, so that the blades and the rotating disc are pushed to rotate at a high speed, and high-temperature steam in the cooling tower body is discharged; and the electric energy consumption of the cooling tower is greatly reduced.

A system for generating an assurance value for autonomous ventilation of a patient is provided, and includes a computer, a storage device, a ventilator, and a device for acquiring patient physiological data associated with the patient. Instructions are provided that, when executed by the computer, cause the computer to generate the assurance value using a method which includes: determining an adaptive patient digital twin and a correlated ventilator model; receiving patient physiological data during a time period; processing the adaptive patient digital twin and the correlated ventilator model to generate expected patient physiological data during a second time period; receiving the patient physiological data during the second time period; and processing the patient physiological data during the second time period and the expected patient physiological data during the second time period to generate an assurance value associated with the adaptive patient digital twin and the correlated ventilator model.

1. Name of the designed product: Non-invasive respirator (HepoRes R2). 2. Use of the designed product: Medical equipment for treating patients with respiratory insufficiency requiring mechanical ventilation. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The application provides a decision-making method for the whole process of mechanical ventilation weaning, characterized by comprising the following steps: acquiring various index data of a patient at a first frequency to construct a patient index database; identifying an offline window period through key index data in the offline window period in the patient index database and AI captured dynamic behavior signals; in the offline window period, starting and performing a spontaneous breathing test, acquiring key index data of the offline window at a second frequency, generating a spontaneous breathing test tolerance score, and pushing a suggestion to medical staff on whether to perform weaning based on the spontaneous breathing test tolerance score; after the medical staff wean, monitoring key outcome index data at a third frequency, evaluating the recovery of the patient to obtain an evaluation result, and judging whether to intervene according to the evaluation result. In the whole weaning process, different frequencies are used to acquire corresponding index data at different stages, ensuring accurate grasp of the patient's condition.

1. The name of this design product: Airbag pressure continuous monitor. 2. Purpose of the product of this design: It is suitable for patients with cuffed trachea or laryngeal mask inserted during mechanical ventilation, and is used to control the pressure of the artificial airway bag. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The utility model discloses an outdoor build treatment place fast cut formula ventilation device, specifically related to indoor ventilation technical field, including installation frame and air pipe, the bottom end of air pipe is through installation frame and is with its through bearing swing joint, and the bottom swing of air pipe is provided with fan, and the inside fixed connection of installation frame has support plate, is provided with mobile assembly on support plate, and mobile assembly includes second stepper motor, screw rod, slide and moving plate, and second stepper motor fixed mounting is in the inside one side of installation frame. The utility model discloses through fan work produces suction, extracts the air in treatment place, and indoor air is discharged through air scoop, and second stepper motor works and drives fan and standpipe horizontal movement, and make fan and standpipe away from air pipe, and external air can enter air pipe through air scoop, and finally through installation frame into treatment place, simple operation can be switched to natural ventilation and mechanical ventilation quickly.

A test platform for simulating patient conditions. In accordance with methods, systems, platforms and modules, the controller of a ventilator, may be tested. Where the ventilator manages automated mechanical ventilation controllers' maintenance of peripheral oxygen saturation (SpO2) for a simulated patient, an analogue blood oxygen output signal that is responsive to the fraction of inspired oxygen (FiO2) and the peak inspiratory pressure ventilator settings of the ventilator is tested by a test platform controller. Where the ventilator manages end-tidal carbon dioxide (EtCO2) of a simulated patient, operation of the test platform controlled by the platform controller of the test platform in providing carbon dioxide generation, lung compliance (CL) and airway resistance (RAW) states while providing an EtCO2 level that is responsive to changes in tidal volume and respiratory rate changes of the patient is tested.

The present disclosure provides a unique solution for assisting in the ventilation of lungs of subject that is performed by artificial mechanical ventilator. The solution of the present invention improves the efficiency of the ventilation effect by applying desired pressure profile on portions of the upper body part of the subject in synchronization with the mechanical ventilator operation, thereby creating a desired pressure profile or gradient in the lungs airways to ensure that air pumped into the lungs by the mechanical ventilator spreads more homogeneously in the lungs than without the intervention of the system of the present invention. The application of pressure is determined after analyzing data from sensors of the system that are placed on a plurality of portions on the upper body part of the subject and data received from the mechanical ventilator. These sensors sense data indicative of the ventilation profile within the lungs, i.e. pressure profile along different portions of the lung. The system provides extra-thoracic pressure on the rib cage according to pre-defined and adaptive algorithms based on the physiological status, the respiratory mechanics, and the inhomogeneous nature of lung injury. By applying pressure to the hyperventilated areas and reducing the transpulmonary pressure gradient, the system prevents hyperinflation trauma to the open areas and atelecto-trauma to the closed areas. The system is synchronized with the mechanical ventilator and adapt to changes in the patient's respiratory mechanics.

This invention discloses an intelligent ventilation and control system for hazardous waste containers, relating to the fields of ventilation systems and control technology. It aims to solve the technical problems of traditional hazardous waste container ventilation systems, such as low ventilation efficiency, high energy consumption, inability to dynamically adjust ventilation volume according to the hazardous waste status, and the tendency to lead to the accumulation of harmful gases or resource waste. The system includes: a container monitoring module, located inside and outside the container, for collecting environmental parameters; an intelligent ventilation execution module, used to coordinate with the ventilation and natural ventilation openings to adjust the ventilation state inside the container; a linkage control center, used to process monitoring data and generate control commands; and an energy supply unit, providing power to all modules of the system. This invention, through a dynamic strategy of "natural ventilation priority + mechanical ventilation assistance," accurately matches the ventilation needs of different hazardous wastes, solving the core problem of existing systems' inability to dynamically adjust according to the characteristics of hazardous waste and the real-time environment.

A non-transitory storage medium stores instructions readable and executable by at least one electronic processor to receive clinical data for a current patient (P); search a database of CT scans and / or patient-specific mechanical ventilation models for other patients using the clinical data for the current patient as a search criterion to identify a similar patient in the database and similar patient data (S) comprising a CT scan and / or a patient-specific mechanical ventilation model for the similar patient; determine a patient-specific mechanical ventilation model for the current patient based on the CT scan and / or patient-specific mechanical ventilation model for the similar patient; generate ventilator configuration data for mechanically ventilating the current patient based on the determined patient-specific mechanical ventilation model for the current patient.

This invention provides a ventilation and defogging system for integrated utility tunnel ventilation, relating to the field of ventilation control technology. The system further includes: a circulation pipe assembly fixedly connected to the main body of the utility tunnel and the ventilation shaft; and a mechanical ventilation component, the bottom of which is installed on top of a firewall, and the top of which is inserted into the ventilation shaft. Air within the main body of the utility tunnel is dehumidified and purified by the circulation pipe assembly, and then returned to the interior of the main body of the utility tunnel via the mechanical ventilation component. This isolates the external environment while achieving internal air circulation, dehumidification, and purification within the main body of the utility tunnel, thus optimizing the air quality inside the utility tunnel.