Shenzhen Mindray Bio-medical Electronics Co., Ltd.

Huawei Device Co., Ltd.

Shenzhen Mindray Scientific Co., Ltd.

Zehui Sun

Wenyu Ye

Sanchao Liu

Jianwei Su

Ming Li

Xianliang He

Lihan Liu

Zehong Guan

Bailei Sun

Guangze Zhu

Kaibing Zhang

Jian Dai

Junbiao Hong

Xinchao Shui

Chenming Ma

Chaocheng Xie

Renqiang Zou

Guanglei Zhang

Yu Yue

Fuxin Song

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

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

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

A network access method, an interface device, and a mobile network access device are provided. The interface device may specifically include: a first network port, a first processor, and a first universal serial bus (USB) interface, where the first USB interface is connected to the mobile network access device; the first network port is connected to a wired wide area network; and the first processor includes a detection unit and an instruction unit, where the detection unit is configured to detect whether the wired wide area network is available and the instruction unit is configured to send, when the detection unit detects that the wired wide area network is available, first network access instruction information to the mobile network access device by using the first USB interface.

Network access method, interface device, and mobile network access device

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

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Shenzhen, China

Zehui Sun