6 results about "Ventilator equipment" patented technology

The application provides a data processing method, which comprises the following steps: capturing target data from a first device, analyzing the target data to obtain at least one index parameter, wherein the index parameter is used for representing a breathing parameter of a target object during breathing; determining whether the index parameter meets a preset condition; if the index parameter meets the preset condition, identifying a second device and obtaining position information of at least one second device, wherein the second device is a breathing machine; selecting one second device as a target device according to position information of the first device and the position information of the at least one second device; and outputting path information between the first device and the target device. Through the scheme, the type of the suitable breathing machine can be quickly identified when the patient has an emergency, the breathing machine device closest to the patient and consuming the least time is determined, and the purpose of quickly and efficiently obtaining the breathing machine device is achieved.

The invention belongs to the technical field of breathing machine equipment, and particularly relates to a battery charging box which comprises an upper shell and a lower shell which are buckled together. A circuit board is arranged between the upper shell and the lower shell; a clamping groove of a battery to be charged is formed in the top surface of the upper shell, a charging opening is formed in the top surface of the upper shell in the clamping groove, and a charging head of the battery to be charged penetrates through the charging opening to be connected with the charging slot of the circuit board; a side plate and a back plate of the lower shell are provided with heat dissipation openings, a bottom plate of the lower shell is provided with an inclined plate rising towards the circuit board, one end of the inclined plate is coplanar with the bottom plate, and the other end of the inclined plate forms a certain angle with the bottom plate and is connected with a heat dissipation plate provided with the heat dissipation openings; a front plate of the lower shell is provided with a grating type fan air inlet, and the grating type fan air inlet is provided with a cooling fan; and a circuit board power supply plug is arranged on one side plate of the lower shell. The technical problems of electric quantity display, heat dissipation, noise reduction and the like in the charging process are solved.

The present application relates to the technical field of medical equipment, and more particularly to a driving circuit of a breathing valve and a breathing machine, the driving circuit of the breathing valve comprises a first processor, a valve control circuit and a valve monitoring circuit, a gate drive chip is arranged in the valve control circuit, the gate drive chip is low in cost, can quickly provide or absorb gate current, shortens the level conversion time, can greatly reduce the heating of the MOS tube, and the valve monitoring circuit is further arranged to monitor the signal of the negative pole of the voice coil motor in the breathing valve and input the monitoring signal to the first processor, the first processor adjusts the driving signal in time according to the monitoring signal, ensures the accuracy of the driving signal, can realize the accurate control of the first processor on the voice coil motor, and improves the force control accuracy of the voice coil motor. The driving circuit of the breathing valve meets the high-precision requirement of the voice coil motor, and reduces the cost of the breathing machine.

A system includes a ventilator device, a mask, a microphone, a speaker, and a control system. The ventilator device is configured to supply pressurized air. The mask is coupled to the ventilator device and is configured to engage a user during sleep to help direct the supplied pressurized air to the user. The microphone is configured to generate audio data. The speaker is configured to emit sound. The control system is configured to analyze the audio data to determine whether noise associated with leaking air from the mask is occurring. Responsive to (i) the analysis resulting in a determination that noise associated with leaking air from the mask is occurring, (ii) the ventilator device determining that air is leaking from the mask, or (iii) both (i) and (ii) being present, causing the speaker to emit sound to help mask the noise associated with leaking air from the mask.

The application relates to the field of intelligent medical treatment, and discloses an in-hospital integrated platform system based on artificial intelligence, which comprises the following steps: extracting current patient identification information, identifying a surgical patient in an anesthetic state in real time, and automatically associating a preoperative electronic medical record with an intraoperative anesthesia plan; based on an artificial intelligence semantic recognition model, image text extraction and semantic understanding are carried out on parameter content set in real time in a respirator equipment screen; according to the difference between the set parameters and the semantic recognition of the system, a cross-system risk factor atlas is constructed, and a risk linkage score is generated in real time for intraoperative operation behavior; the parameter evolution path under the same type of operation in the past is called, and analogy modeling is carried out in combination with the current patient anesthesia depth, physiological data and the intraoperative stage; when it is confirmed that there is a strategy-level abnormality in setting, the warning level and the display form are dynamically adjusted based on the operation equipment type, the setting personnel role and the current stage load intensity. The application has the advantage of improving the intelligent level of a hospital.

The application provides a ventilator equipment data analysis hybrid architecture running system based on a macOS single-machine running environment, comprising front-end master control, secure file access agent, native bridge call and back-end data analysis modules. The system realizes compliant import of peripheral files through a secure scope bookmark mechanism; encapsulates Java analysis logic as a native executable file to solve the problem that JAR cannot run stably in a sandbox; adopts a partition block analysis and CRC check mechanism to automatically complete structured analysis of binary files and medical index calculation; realizes decoupling of the front end and the back end through IPC communication, with the front end only rendering a JSON result to improve security; introduces process life cycle management to prevent resource leakage; and combines x86_64 and arm64 architectures to support single installation package cross-platform running. The system meets the App Store sandbox compliance requirements and builds a stable, secure and deployable single-machine medical data analysis closed loop.