Shenzhen Mindray Bio-medical Electronics Co., Ltd.

Shenzhen Mindray Scientific Co., Ltd.

Zuming Yao

Ming Li

Xianliang He

Xingliang Jin

Lihan Liu

Ningling Zhang

Hanyuan Luo

Zhigang Ye

Fei Ye

Fei Zhang

Fei Han

Peng Zhang

Yun Deng

Jilun Ye

Junhua Xie

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.

Method for identifying anesthetic drug, and method and device for processing anesthesia electroencephalogram signal

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 parameters.

Methods and systems for calculating physiological parameters

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.

Anesthesia stage identification and anesthesia depth calculation method and device

An apparatus and method for removing high-frequency radio frequency interference are disclosed. The apparatus includes a filtering unit for filtering an original electroencephalogram signal to obtain an intermediate electroencephalogram signal; a high-frequency signal extraction unit for filtering the intermediate electroencephalogram signal to extract a high-frequency signal from the intermediate electroencephalogram signal; a marking unit for comparing the amplitude of the high-frequency signal with a comparison threshold value, and performing classification marking on the intermediate electroencephalogram signal according to a comparison result; a collection unit for sampling the intermediate electroencephalogram signal that has been performed with the classification marking to obtain a desired electroencephalogram signal and inputting the desired electroencephalogram signal into a processor; and the processor for setting the comparison threshold value and controlling the collection unit to perform sampling.

Apparatus and method for removing high-frequency radio frequency interference

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.

Methods and apparatuses for detecting respiratory rate

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Shenzhen, China

Zuming Yao