Abstract: The present application discloses a display panel and a display device. The display panel comprises pixel circuits, collecting modules and feedback modules, and the pixel circuit comprises a driving module, a data writing module and a light-emitting module; wherein the data writing module is configured to transmit a voltage output by a data signal terminal to the driving module; the driving module and the light-emitting module are electrically connected between a first power supply terminal and a second power supply terminal, and the driving module is configured to generate a driving current according to the voltage from the data signal terminal and a voltage from the first power supply terminal to drive the light-emitting module to emit light; the collecting module is configured to collect at least one of a voltage actually received by the driving module and a voltage actually received by the driving module.

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.

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: The disclosure provides an airway anomaly detection method and a ventilation device thereof. The method may include acquiring a ventilation parameter, where the ventilation parameter includes at least one of an airway pressure and airway flow; detecting, according to a change of the ventilation parameter, whether an airway anomaly event occurs; and when it is determined that the airway anomaly event occurs, outputting an airway anomaly event prompt.

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: 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 ventilation trigger detection method performed by a ventilation device is disclosed. The method includes monitoring a ventilation parameter during mechanical ventilation for a user, the ventilation parameter including at least one of an airway pressure and an airway flow, and determining patient-ventilator synchrony during the ventilation according to a change in the ventilation parameter. Furthermore, this disclosure also relates to a ventilation trigger detection apparatus, a ventilation device, and a storage medium.

Abstract: The present disclosure provides a data processing method and an 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: The disclosure provides a respirator, which includes a ventilation device, configured for providing ventilation airflow to a patient. The respirator further includes a first monitor, configured for monitoring a pressure or a flow velocity with which the ventilation device ventilates the patient, and a second monitor, configured for measuring a pressure change that reflects a self-respiratory effort of the patient. The respirator also includes a processor, configured for identifying an inspiratory trigger moment or an expiratory trigger moment of the patient according to the pressure change that reflects the self-respiratory effort of the patient.

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.