Shenzhen Mindray Bio-Medical Electronics Co., Ltd.

Shenzhen Mindray Scientific Co., Ltd.

Xianliang He

Xingliang Jin

Ming Li

Zuming Yao

Peng Zhang

Wenyu Ye

Ningling Zhang

Hanyuan Luo

Zhigang Ye

Song Yang

Fei Ye

Fei Zhang

Fei Han

Zehui Sun

Lihan Liu

Zehong Guan

Kun Jiao

Hua Li

Fang Liu

Pei Wang

Zhonghua Liu

Shen Luo

Qiling Liu

Jianwei Su

Zhixiang Fan

Pengfei Zuo

Junhua Xie

Wutao Wang

Mimi Hu

Chenming Ma

Canwu Zhong

Yingjie Jia

Haoyu Jiang

A method and device for monitoring a vital sign of a user, the method including: acquiring a sensor signal related to a vital sign; sampling the sensor signal to obtain data related to the vital sign; and in response to a key event, adjusting the method for collecting and processing the sensor signal.

Method and device for monitoring vital sign of user

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 provides a monitoring apparatus and a statistical display method for physiological parameter(s) thereof. The method may include receiving statistical setting information including a time range, a time interval, a classification rule, and a target parameter, and the classification rule may define one or more types of the target parameter; obtaining N group of target parameter result corresponding to N time interval from a result of historical physiological parameter, where the N time interval is included in the time range, and the N group of target parameter result may be a physiological parameter result corresponding to the target parameter in the result of historical physiological parameter; counting the number of each type of the target parameter in the N group of target parameter result according to the classification rule, and obtaining N group of statistical result corresponding to the N time interval for each target parameter.

Statistical display method for physiological parameter of monitoring apparatus, and monitoring apparatus

Disclosed are a method for processing alarms of multiple devices and a central display device. An association between the multiple devices in terms of alarm causes is determined; and when there is an association between at least two different devices in terms of alarm causes, alarms generated by the at least two different devices is optimized. By means of a root cause analysis on alarms generated by devices, levels of alarms are lowered, and medical care personnel can more easily view and target higher-level alarm that requires more attention, so that trouble of the medical care personnel is reduced.

Method for processing alarms of multiple devices and central display device

A pacing signal processing method, a system and an electrocardiogram (ECG) monitor, the method includes collecting at a high sampling rate the original ECG signal from a surface, obtaining the parameter and position information of a pacing signal according to the sampling points, and displaying the pacing signal morphology and/or parameter information of the pacing signal.

Pacing signal processing method, system and electrocardiogram monitor

A biosensor includes: a flexible base, a first sensor includes a first sensor main body; and a second sensor includes a second sensor main body that is detachably installed on the side face of the flexible base installed with the first sensor main body, and is arranged at intervals on the first sensor main body. The second sensor is detachably installed on the flexible base installed with the first sensor, and does not overlap with the first sensor, thereby allowing the second sensor to work together with the first sensor, thereby obtaining different physiological parameters. The second sensor can also be detached from the flexible base and used independently to increase user convenience.

Biosensor device and physiological monitor

A biosensor includes: a flexible base, a first sensor includes a first sensor main body, and a second sensor includes a second sensor main body that is detachably installed on the side face of the flexible base installed with the first sensor main body, and is arranged at intervals on the first sensor main body. The second sensor is detachably installed on the flexible base installed with the first sensor, and does not overlap with the first sensor, thereby allowing the second sensor to work together with the first sensor, thereby obtaining different physiological parameters. The second sensor can also be detached from the flexible base and used independently to increase user convenience.

A method and a device for temperature prediction or measurement are disclosed. The method comprises: acquiring temperature data outputted from a thermometer probe; selecting some temperature data within a valid time period from the acquired data; determining a first specific time point according to the slope change rate of the temperature curve within the valid time period and an initial temperature within the valid time period; determining a second specific time point according to the slope at or before the first specific time point; calculating a value of temperature y according to an hyperbolic formula; determining a final temperature of the object according to the maximum slope of the temperature curve in the valid time period, the initial temperature of the temperature curve in the valid time period, and the value of temperature y.

Method and device for temperature prediction

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Shenzhen, China

Xianliang He