Abstract: A display method for a medical device, a medical system and a medical device are disclosed. The method includes acquiring medical data of a medical object related to one or more physiological parameters of the medical object; acquiring data for a control parameter of a treatment device for providing treatment for the medical object, wherein the treatment device provides the treatment for the medical object based on the control parameter, so as to affect the medical data; determining a grouping of the physiological parameter(s) and the control parameter, wherein each group includes at least one physiological parameter and at least one control parameter which is capable of affecting said physiological parameter, and associatively displaying the medical data which is related to the physiological parameter(s) and an operation interface for adjusting the control parameter, which parameters are in a same group. Such that working efficiency of medical staff is improved.

Abstract: The present disclosure provides a data processing apparatus and related products. The products include a control module including an instruction caching unit, an instruction processing unit, and a storage queue unit. The instruction caching unit is configured to store computation instructions associated with an artificial neural network operation; the instruction processing unit is configured to parse the computation instructions to obtain a plurality of operation instructions; and the storage queue unit is configured to store an instruction queue, where the instruction queue includes a plurality of operation instructions or computation instructions to be executed in the sequence of the queue. By adopting the above-mentioned method, the present disclosure can improve the operation efficiency of related products when performing operations of a neural network model.

Abstract: A method for advertising an extended advertising packet, a method for receiving an extended advertising packet, a communications system, and a related device are disclosed. In the method for advertising an extended advertising packet and the method for receiving an extended advertising packet, an extended advertising packet generated by a Bluetooth advertising device carries information about receiving time and a receiving channel for an auxiliary advertising packet. A Bluetooth receiving device may obtain both an advertising packet type of the auxiliary advertising packet and the information about the receiving time and the receiving channel for the auxiliary advertising packet based on the information about the receiving time and the receiving channel for the auxiliary advertising packet that is obtained by parsing the extended advertising packet, to accurately receive the auxiliary advertising packet.

Abstract: A ventilation detection method applied to a ventilation apparatus. The method may include monitoring respiratory parameters during mechanical ventilation of a patient by using a ventilation apparatus, the respiratory parameters at least comprising one of airway pressure and airway flow, and using changes in the respiratory parameters to identify whether man-machine counteraction or ventilation leakage has occurred.

Abstract: A respiration monitoring method and a respiration monitoring apparatus are disclosed. The method includes: according to airway pressure data which are measured by the pressure sensor in a respiratory cycle and gas flow rate data which are measured by the flow sensor in said respiratory cycle, calculating an intrapulmonary pressure of an inspiratory phase of a patient and an expiratory pressure of said patient, which pressures correspond to said respiratory cycle; and determining a driving pressure of said patient, which pressure corresponds to said respiratory cycle, according to the intrapulmonary pressure of the inspiratory phase and the expiratory pressure. In this way, a driving pressure can be obtained without manual intervention, such as inspiratory and expiratory hold, and the driving pressure can also be measured in real time; and since ventilation is not interfered with, a patient-friendly effect is also achieved.

Abstract: An anesthesia machine, a respiratory support device, and a ventilation control method are provided. The ventilation module provides a first gas at a first ventilation frequency and a second ventilation frequency, respectively. When the ventilation module provides the first gas to a patient at the second ventilation frequency, the ventilation module can simultaneously provide the first gas to the patient at the first ventilation frequency in at least one of the multiple second inspiratory phases. As such, this disclosure provides respiratory support for a patient by superposing ventilation modes of two different frequencies, thereby improving an elimination rate of carbon dioxide, when providing the respiratory support for the patient.

Abstract: A medical device and a method for measuring a positive end-expiratory pressure are disclosed. The method includes acquiring an airway pressure and an air flow rate when a medical ventilation device ventilates a patient; obtaining a ventilation volume according to the air flow rate; and then obtaining, by means of calculation, a total positive end-expiratory pressure according to a preset respiratory mechanics equation, the airway pressure, the air flow rate and the ventilation volume. The disclosed method does not require any expiratory hold operation during the process of measuring a positive end-expiratory pressure, and thus a normal ventilation process is not interrupted. Accordingly, the method is suitable for use in both invasive and non-invasive ventilation.

Abstract: An anesthesia machine is disclosed, which includes an anesthetic delivery apparatus, a respiratory loop, a first ventilation control apparatus, and a ventilation module. The anesthetic delivery apparatus mixes a first gas with an anesthetic to obtain a second gas, and delivers the second gas to the respiratory loop. The first ventilation control apparatus controls the respiratory loop to periodically deliver the second gas to a patient, thereby providing anesthesia and respiratory support for the patient. The ventilation module performs periodic respiratory support on the patient by using the first gas. Therefore, according to the requirements of the clinical scenario, the corresponding ventilation support can be performed on the patient by using the anesthesia machine, thereby improving the application range of the anesthesia machine without using additional devices.

Abstract: Disclosed are a cardiogenic interference identification method for a medical ventilation device, and a medical ventilation device. The method includes acquiring a first signal and a second signal obtained by a medical ventilation device monitoring a ventilation object, the first signal including a flow velocity signal; according to the flow velocity signal and the second signal, identifying a fluctuation in the flow velocity signal; acquiring a fluctuation characteristic of the fluctuation and, on the basis of the fluctuation characteristic of the fluctuation, identifying cardiogenic interference in the fluctuation. The present method identifies cardiogenic interference on the basis of a signal collected by the medical ventilation device itself, and a physiological signal from an external device is not required. The method has a significant value for clinical.

Abstract: The present disclosure provides a data processing apparatus and related products. The products include a control module including an instruction caching unit, an instruction processing unit, and a storage queue unit. The instruction caching unit is configured to store computation instructions associated with an artificial neural network operation; the instruction processing unit is configured to parse the computation instructions to obtain a plurality of operation instructions; and the storage queue unit is configured to store an instruction queue, where the instruction queue includes a plurality of operation instructions or computation instructions to be executed in the sequence of the queue. By adopting the above-mentioned method, the present disclosure can improve the operation efficiency of related products when performing operations of a neural network model.

Abstract: An anesthesia machine, an anesthetic output concentration monitoring method, system, a device, and a storage medium are disclosed. The method includes respectively monitoring a flow of a fresh gas flowing into a breathing circuit and a flow of an inhaled gas of an anesthetized object. The method further includes when the inhaled gas flow is greater than a fresh gas flow, respectively monitoring a concentration of anesthetic in the inhaled gas and an exhaled gas of the anesthetized object. The method also includes using the exhaled gas anesthetic concentration and a concentration of carbon dioxide in the exhaled gas to calculate a concentration of anesthetic in a gas, reflowing into an inspiratory branch, in the exhaled gas, thereby obtaining a re-inhaled gas anesthetic concentration.

Abstract: The present disclosure provides a data processing apparatus and related products. The products include a control module including an instruction caching unit, an instruction processing unit, and a storage queue unit. The instruction caching unit is configured to store computation instructions associated with an artificial neural network operation; the instruction processing unit is configured to parse the computation instructions to obtain a plurality of operation instructions; and the storage queue unit is configured to store an instruction queue, where the instruction queue includes a plurality of operation instructions or computation instructions to be executed in the sequence of the queue. By adopting the above-mentioned method, the present disclosure can improve the operation efficiency of related products when performing operations of a neural network model.

Abstract: Disclosed is a preparation method of a PTFE dispersion resin with a core-shell structure, including: adding a fluorine-containing hydrocarbon and a fluorine-containing modifying monomer as nucleating agents in an initial nucleating stage of polymerization, adding a small amount of a non-PFOA surfactant to regulate a particle core structure, and adding the same or different non-PFOA surfactant during a growth stage to stabilize a dispersion. The method can avoid the use of PFOA surfactants, consume less surfactants and achieve good emulsion stability. The PTFE dispersion resin thus prepared has a core-shell multilayer structure, low extrusion pressure, good thermal stability, and excellent mechanical properties, and is especially suitable for the preparation of small-diameter tubes by high-compression-ratio paste extrusion.

Abstract: The invention provides a respiratory ventilation method and device, an anesthesia machine and a computer-readable storage medium. The respiratory ventilation device comprises a patient-end respiratory system, a machine-end respiratory system, a flow monitor and a processor. In some embodiments, the machine-end respiratory system comprises an intake branch at an inspiratory phase, a respiratory container, and an exhaust branch at an expiratory phase; and the intake branch and the exhaust branch are both connected to the respiratory container via the flow monitor, and the respiratory container is connected to the patient-end respiratory system.

Abstract: The present application discloses an on-chip code breakpoint debugging method, an on-chip processor, and a chip breakpoint debugging system. The on-chip processor starts and executes an on-chip code, and an output function is set at a breakpoint position of the on-chip code. The on-chip processor obtains output information output by the output function, and stores the output information into an off-chip memory. In one embodiment, according to the output information, output by the output function and stored in the off-chip memory, the on-chip processor can obtain execution conditions of the breakpoints of the on-chip code in real time, achieve the purpose of debugging multiple breakpoints in the on-chip code concurrently, and improve debugging efficiency.

Abstract: An anesthesia machine, anesthesia control method and system are provided. The anesthesia machine controls the infusion device, or the control terminal controls the anesthesia machine and infusion device, such that the doctor controls the inhalation and intravenous infusion of anesthetics for patient with only one device, without walking back and forth between multiple devices, which improves the efficiency of anesthesia control.

Abstract: A ventilation adjustment method and a high-frequency ventilation system, which ensure stable and accurate oxygen concentration control within an oxygen concentration setting range, are disclosed. The ventilation adjustment method includes: determining a first gas flow rate control value and a second gas flow rate control value according to a target output flow rate and an oxygen concentration setting value; determining whether the first gas flow rate control value falls into a first dead zone range and whether the second gas flow rate control value falls into a second dead zone range; if the first gas flow rate control value falls into the first dead zone range, maintaining a first gas flow rate controller turned on in an expiratory phase; and if the second gas flow rate control value falls into the second dead zone range, maintaining a second gas flow rate controller turned on in the expiratory phase.

Abstract: The present disclosure provides a data processing apparatus and related products. The products include a control module including an instruction caching unit, an instruction processing unit, and a storage queue unit. The instruction caching unit is configured to store computation instructions associated with an artificial neural network operation; the instruction processing unit is configured to parse the computation instructions to obtain a plurality of operation instructions; and the storage queue unit is configured to store an instruction queue, where the instruction queue includes a plurality of operation instructions or computation instructions to be executed in the sequence of the queue. By adopting the above-mentioned method, the present disclosure can improve the operation efficiency of related products when performing operations of a neural network model.

Abstract: This disclosure provides a method for evaluating volume responsiveness and a medical device. The medical device includes a respiratory assistance device for providing respiratory support for a patient, and a first sensor for collecting physiological parameters of the patient and a processor. When volume responsiveness evaluation is needed, the processor controls ventilation parameters to switch to a second ventilation parameter that may increase the variation of the intrathoracic pressure of the patient, and then uses a parameter variation capable of reflecting the heartbeat of the patient to evaluate whether the patient is volume responsive.

Abstract: The present disclosure provides a data processing apparatus and related products. The products include a control module including an instruction caching unit, an instruction processing unit, and a storage queue unit. The instruction caching unit is configured to store computation instructions associated with an artificial neural network operation; the instruction processing unit is configured to parse the computation instructions to obtain a plurality of operation instructions; and the storage queue unit is configured to store an instruction queue, where the instruction queue includes a plurality of operation instructions or computation instructions to be executed in the sequence of the queue. By adopting the above-mentioned method, the present disclosure can improve the operation efficiency of related products when performing operations of a neural network model.