Abstract: A method for calculating physiological parameters includes: selecting a section of time domain signal corresponding to at least one signal of red light and infrared light obtained by sampling, and performing a conversion from time domain to frequency domain to obtain a corresponding frequency domain signal; selecting all rational frequency spectrum peak information, calculating energy information of selected reasonable frequency spectrum peaks, and forming a frequency spectrum peak energy ratio sequence; constructing a stability coefficient according to the frequency spectrum peak energy ratio sequence, and if the stability coefficient is low, constructing a compensation coefficient by using the frequency spectrum peak energy ratio sequence; and compensating for at least one of the time domain signal and the frequency domain signal by using the compensation coefficient, and calculating based on at least one of the compensated time domain signal and the frequency domain signal to obtain the physiological param

Abstract: An anesthesia stage identification method for identifying an anesthesia stage at which a patient is located is disclosed. The method includes collecting an electroencephalogram signal, calculating at least two characteristics of the collected electroencephalogram signal according to a preset frequency, and determining the anesthesia stage at which the patient is located in a corresponding time period according to the at least two calculated characteristics. The identification method can accurately determine the anesthesia stage, and resolve the problems of abnormal falling during a lucid interval and slow response speed during an induction stage caused by misjudgment.

Abstract: An apparatus and method for removing high-frequency radio frequency interference are disclosed.

Abstract: Disclosed are a physiological parameter monitoring device and method. The monitoring device includes a front-end circuit, a processor, and an output component, where the front-end circuit is configured to acquire a physiological signal from a signal output by at least one sensor for sensing a physiological signal of an organism; and the processor receives at least one physiological signal output by the front-end circuit, determines whether there is a first physiological signal with a detection anomaly in the physiological signal, and when a detection anomaly occurs in the first physiological signal, determines an effective second physiological signal homologous to the first physiological signal, and obtains at least part of an analysis result corresponding to the first physiological signal based on the second physiological signal.

Abstract: A method for calculating physiological parameters includes: selecting a section of time domain signal corresponding to at least one signal of red light and infrared light obtained by sampling, and performing a conversion from time domain to frequency domain to obtain a corresponding frequency domain signal; selecting all rational frequency spectrum peak information, calculating energy information of selected reasonable frequency spectrum peaks, and forming a frequency spectrum peak energy ratio sequence; constructing a stability coefficient according to the frequency spectrum peak energy ratio sequence, and if the stability coefficient is low, constructing a compensation coefficient by using the frequency spectrum peak energy ratio sequence; and compensating for at least one of the time domain signal and the frequency domain signal by using the compensation coefficient, and calculating based on at least one of the compensated time domain signal and the frequency domain signal to obtain the physiological param

Abstract: A method for calculating physiological parameters includes: selecting a section of time domain signal corresponding to at least one signal of red light and infrared light obtained by sampling, and performing a conversion from time domain to frequency domain to obtain a corresponding frequency domain signal; selecting all rational frequency spectrum peak information, calculating energy information of selected reasonable frequency spectrum peaks, and forming a frequency spectrum peak energy ratio sequence; constructing a stability coefficient according to the frequency spectrum peak energy ratio sequence, and if the stability coefficient is low, constructing a compensation coefficient by using the frequency spectrum peak energy ratio sequence; and compensating for at least one of the time domain signal and the frequency domain signal by using the compensation coefficient, and calculating based on at least one of the compensated time domain signal and the frequency domain signal to obtain the physiological param

Abstract: An apparatus and method for removing high-frequency radio frequency interference are disclosed.

Abstract: A method for processing an anesthesia electroencephalogram signal is disclosed. The method includes acquiring an electroencephalogram signal by means of an electroencephalogram sensor; selecting a target anesthesia depth model from an anesthesia depth model database according to the type of a drug for anesthesia, each anesthesia depth model of the anesthesia depth model database being trained according to a specific drug type, a corresponding electroencephalogram signal, and a marked anesthesia depth; and obtaining an anesthesia depth value on the basis of the target anesthesia depth model and the electroencephalogram signal. In the processing method, according to the type of an anesthetic drug, an appropriate anesthesia depth model is selected, so that the depth of anesthesia can be obtained more accurately, and the adaptability to the type of the anesthetic drug is increased.

Abstract: An anesthesia stage identification method for identifying an anesthesia stage at which a patient is located is disclosed. The method includes collecting an electroencephalogram signal, calculating at least two characteristics of the collected electroencephalogram signal according to a preset frequency, and determining the anesthesia stage at which the patient is located in a corresponding time period according to the at least two calculated characteristics. The identification method can accurately determine the anesthesia stage, and resolve the problems of abnormal falling during a lucid interval and slow response speed during an induction stage caused by misjudgment.

Abstract: A method for calculating physiological parameters includes: selecting a section of time domain signal corresponding to at least one signal of red light and infrared light obtained by sampling, and performing a conversion from time domain to frequency domain to obtain a corresponding frequency domain signal; selecting all rational frequency spectrum peak information, calculating energy information of selected reasonable frequency spectrum peaks, and forming a frequency spectrum peak energy ratio sequence; constructing a stability coefficient according to the frequency spectrum peak energy ratio sequence, and if the stability coefficient is low, constructing a compensation coefficient by using the frequency spectrum peak energy ratio sequence; and compensating for at least one of the time domain signal and the frequency domain signal by using the compensation coefficient, and calculating based on at least one of the compensated time domain signal and the frequency domain signal to obtain the physiological param

Abstract: This disclosure relates to methods and apparatus for detecting respiratory rate. The method for detecting respiratory rate may include: sampling respiratory waveform data in a time sequence; detecting respiratory cycles from the sampled respiratory waveform data; calculating variation degree for the sampled respiratory waveform data; calculating base length base on the variation degree; calculating smoothed length base on the base length; calculating real-time degree for each respiratory cycle base on the variation degree, sequence number of each respiratory cycle, and the smoothed length; and calculating respiratory rate base on the smoothed length and the real-time degree.

Abstract: This disclosure relates to methods and apparatus for detecting respiratory rate. The method for detecting respiratory rate may include: sampling respiratory waveform data in a time sequence; detecting respiratory cycles from the sampled respiratory waveform data; calculating variation degree for the sampled respiratory waveform data; calculating base length base on the variation degree; calculating smoothed length base on the base length; calculating real-time degree for each respiratory cycle base on the variation degree, sequence number of each respiratory cycle, and the smoothed length; and calculating respiratory rate base on the smoothed length and the real-time degree.