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: 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 calibration method for an oxygen sensor and a medical ventilation system are disclosed. At least two electrical signals are acquired at two time points within a preset time period, when the oxygen sensor is in a preset oxygen concentration. A response function of the oxygen sensor which corresponds to the preset oxygen concentration, is determined according to the at least two time points and the at least two electrical signals. A steady-state output value of the oxygen sensor in the preset oxygen concentration is determined, according to the response function and a characteristic curve of the oxygen sensor is determined, according to the steady-state output value of the oxygen sensor in the preset oxygen concentration. The described method reduces the time waiting for the oxygen sensor to respond, thus improving calibration efficiency, and facilitating the improvement of the oxygen concentration monitoring accuracy of a ventilation device in daily use.

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 invention provides an electrolaryngeal speech reconstruction method and a system thereof. Firstly, model parameters are extracted from the collected speech as a parameter library, then facial images of a speaker are acquired and then transmitted to an image analyzing and processing module to obtain the voice onset and offset times and the vowel classes, then a waveform of a voice source is synthesized by a voice source synthesis module, finally, the waveform of the above voice source is output by an electrolarynx vibration output module, wherein the voice source synthesis module firstly sets the model parameters of a glottal voice source so as to synthesize the waveform of the glottal voice source, and then a waveguide model is used to simulate sound transmission in a vocal tract and select shape parameters of the vocal tract according to the vowel classes.

Abstract: The invention provides an electrolaryngeal speech reconstruction method and a system thereof. Firstly, model parameters are extracted from the collected speech as a parameter library, then facial images of a speaker are acquired and then transmitted to an image analyzing and processing module to obtain the voice onset and offset times and the vowel classes, then a waveform of a voice source is synthesized by a voice source synthesis module, finally, the waveform of the above voice source is output by an electrolarynx vibration output module, wherein the voice source synthesis module firstly sets the model parameters of a glottal voice source so as to synthesize the waveform of the glottal voice source, and then a waveguide model is used to simulate sound transmission in a vocal tract and select shape parameters of the vocal tract according to the vowel classes.