Shenzhen Mindray Bio-medical Electronics Co., Ltd.

Shenzhen Mindray Scientific Co., Ltd.

Wenyu Ye

Zehui Sun

Ming Li

Xianliang He

Pei Wang

Shen Luo

Junbiao Hong

Zehong Guan

Sanchao Liu

Jianwei Su

Fang Liu

Hui Yu

Jian Cen

Lihan Liu

Jian Dai

Shuiyang Pan

Shufeng Li

Bailei Sun

Pengfei Zuo

Haoyu Jiang

Chenming Ma

Mimi Hu

Chaocheng Xie

Shan Lu

Renqiang Zou

Guanglei Zhang

Yu Yue

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

An alarm threshold setting suggestion method, a system and a monitor are provided in the disclosure. The method includes: obtaining monitoring data of a patient, determining whether the current alarm threshold associated with a monitoring parameter needs to be adjusted or not according to the monitoring data, and if yes, generating threshold setting suggestion information according to the monitoring data and the current alarm threshold associated with the monitoring parameter; and outputting the threshold setting suggestion information. In this way, not only is the user prompted to adjust the alarm threshold, but also the threshold setting suggestion information is provided for user reference, which are beneficial to relieving the problem of alarm fatigue.

Alarm threshold setting suggestion method, system and monitor

Disclosed are a method for measuring the level of muscle relaxation, a device thereof and an apparatus for measuring muscle relaxation, and the method respectively obtains the sampled values of the acceleration and angular velocity of the measurement site via an acceleration sensor and an angular velocity sensor or a speed sensor and an angular velocity sensor, in order to calculate the degree of muscle relaxation according to the sampled values of the acceleration and angular velocity. As the calculated results combine the sampled values of the acceleration and angular velocity of the measurement site, the accuracy of the calculated results is higher. Moreover, the measurement combines an acceleration sensor and an angular velocity sensor or a speed sensor and an angular velocity sensor, so that the apparatus for measuring muscle relaxation can be placed in any position of the measurement site without influencing the accuracy of the measured results.

Method for measuring level of muscle relaxation, processing device thereof and instrument for measuring muscle relaxation

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 method for analyzing arrhythmia in real time and an electrocardiogram monitoring device is disclosed. The method for analyzing arrhythmia in real time includes: acquiring a QRS template set currently used for arrhythmia analysis; determining whether each QRS template in the QRS template set is reliable; displaying information of a QRS template when the QRS template set contains an unreliable QRS template; determining the QRS template set according to an operation performed by a user on the information of the QRS template; and acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by using a determined QRS template set, and outputting an arrhythmia analysis result of the real-time electrocardiogram data in real time. The method for analyzing arrhythmia in real time may achieve the correction of a template of a special waveform by means of editing a currently created QRS template. When the same type of waveform is analyzed again, a correct arrhythmia analysis result may be provided, which may improve the accuracy of arrhythmia analysis and improve the quality of electrocardiogram monitoring.

Method for analyzing arrhythmia in real time, electrocardiogram monitoring device and storage medium

Disclosed are methods, apparatuses, and systems for performing physiological parameter signal fusion. By respectively analyzing a plurality of input physiological parameter signals, and obtaining a feature of each physiological parameter signal; according to the feature of each physiological parameter signal, obtaining and outputting a fusion state of the plurality of the physiological parameter signals; if the fusion state is a fusion of the at least two physiological parameter signals with the first physiological parameter signal is dominant, highlighting the first physiological parameter signal; and if the fusion state is a fusion of the at least two physiological parameter signals with the second physiological parameter signal is dominant, highlighting the second physiological parameter signal.

Physiological parameter signal fusion processing method, apparatus, and system

One variation of a method for identifying homology of physiological signals comprises: receiving signal data of two different types of physiological signals; performing waveform matching on the signal data of the two different types of physiological signals to determine waveform matching information in the signal data of the two types of physiological signals; calculating an associative feature between the signal data of the two different types of physiological signals according to the waveform matching information; calculating a homology reference coefficient corresponding to the two different types of physiological signals according to the associative feature; and determining that the two different types of physiological signals are homologous when the homology reference coefficient is greater than a preset value.

Method and apparatus for identifying homology of physiological signals

Methods and devices for switching filters and medical apparatuses using the same are described. The method includes: detecting whether or not a frequency range of an input signal is changed from a first frequency range into a second frequency range; if changed, switching from a first filter to a second filter, and taking a sample value of the input signal at a current moment as an input value of the second filter at the current moment and sample values of the input signal at n moments before the current moment as input values of the second filter at the n moments, respectively, and taking output values of the first filter at m moments before the current moment as output values of the second filter at the m moments, to obtain an output value of the second filter at the current moment.

Methods and devices for switching filters and medical apparatuses using the same

Mutation signal processing methods, devices and medical detecting apparatuses are described. The method includes detecting whether or not a mutation signal exists in an input signal; if the mutation signal exists in the input signal, processing the input signal by a filter to obtain an output signal, and updating a prestored difference value according to a difference value obtained by subtracting the output signal from the input signal; and if the mutation signal does not exist in the input signal, using a difference value obtained by subtracting the prestored difference value from the input signal as the output signal.

Mutation signal processing methods, devices and medical detecting apparatuses

This disclosure relates to baseline restoration methods and apparatuses and medical detecting equipment thereof. The baseline restoration method comprises: determining whether there is a high-amplitude baseline in an input signal by previous k output signals (Y, . . . , Y) of a filter, where k is a natural number and k&#x2267;1; setting the previous m output signals (Y, . . . , Y) of the filter as Y' when there is a high-amplitude baseline in the input signal, where Y&#x2032; is a desired output signal of the filter; and using a current input signal X, the previous n input signals (X, . . . , X), and the previous m output signals (Y, . . . , Y) of said filter to obtain a current output signal Yof said filter.

Baseline restoration methods and apparatuses and medical detecting equipments thereof

A method for generating determination indexes for identifying ECG interfering signals includes acquiring ECG signals to obtain a sequence of data values representing original ECG signals; dividing the sequence of data values acquired during a period of time into groups and collecting all the minimum data values in their respective groups on a statistical basis; determining the minimum and the maximum data values in a minimum set made up of all the minimum data values in their respective groups; and using the difference between the minimum and the maximum data values as a first baseline drift determination index to identify at least one of low frequency interference and irregular interference.

Method and apparatus for generating determination indexes for identifying ECG interfering signals

A computer assisted cardiogram diagnostic system, comprises a diagnosing unit, for obtaining a plurality of preliminary diagnostic results according to the cardiogram signals; and an amending unit, for judging the plurality of preliminary diagnostic results, and amending the plurality of preliminary diagnostic results using conflict eliminating rules, in order to obtain amended diagnostic results.

Computer assisted cardiogram diagnostic system and the method thereof

The present application discloses a complexity-based method for synthetically detecting ventricular fibrillation, which centers on complexity calculations while incorporating a plurality of feature values and thus differentiates more effectively among various types of ECG signals. The method further modifies the complexity algorithm, making it more adapted to reflecting characteristics of the VF-related signals, thereby enabling high sensitivity and specificity of detection. Further, the related calculation load is reduced according to the algorithm. As such, the method can fully satisfy the clinical needs and is aimed for solving the problems of low sensitivity, low specificity and weak anti-interference ability present in current medical equipment for detecting ventricular fibrillation, such as monitors, implanted cardioversion defibrillator (ICD), automatic external defibrillator (AED) and so on. Systems for performing the method are also disclosed.

Growing community of inventors

Shenzhen, China

Wenyu Ye