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Intelligent monitoring and alarm method and system based on multi-parameter fusion

A multi-parameter fusion technology, applied in medical science, blood characterization devices, sensors, etc., can solve problems such as low efficiency, manual recording of scoring calculation process, and serious differences in different scenarios.

Pending Publication Date: 2020-11-17
GENERAL HOSPITAL OF PLA
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  • Claims
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Problems solved by technology

However, the disadvantage of the EWS method is that its scoring standards are given by doctors based on their own experience, and there are serious differences in different scenarios, and the scoring calculation process relies on manual records, which is inefficient and prone to errors

Method used

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  • Intelligent monitoring and alarm method and system based on multi-parameter fusion
  • Intelligent monitoring and alarm method and system based on multi-parameter fusion
  • Intelligent monitoring and alarm method and system based on multi-parameter fusion

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Embodiment Construction

[0029] Next, the intelligent monitoring and alarming method and system based on multivariate parameter fusion of the present application will be described in detail.

[0030] 1. Intelligent monitoring and alarm method based on multivariate parameter fusion

[0031] The intelligent monitoring and alarm method based on the fusion of multiple parameters of this application obtains the patient's health score by analyzing and training the historical monitoring physiological data (heart rate, blood oxygen saturation, body temperature, blood pressure, and respiration rate) of ICU patients using machine learning methods Model. When the patient's real-time monitoring data is substituted into the model, the patient's real-time health score is obtained. When the score is higher than the set threshold, an alarm will be generated. This medical alarm can accurately identify small changes in the patient's physiological signs and judge in advance whether the patient will Physiological deteri...

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Abstract

The invention discloses an intelligent monitoring and alarm method and system based on multi-parameter fusion. By carrying out the analysis and training of the historical monitoring physiological data(heart rate, oxyhemoglobin saturation, body temperature, blood pressure value and respiratory rate) of an ICU patient through a machine learning method, a patient health scoring model is acquired. When real-time monitoring data of the patient is substituted into the model, a real-time health score of the patient is obtained, an alarm is given when the score is higher than a set threshold value, the medical alarm can accurately identify tiny changes of physiological signs of the patient, and whether physiological deterioration of the patient occurs or not is judged in advance.

Description

technical field [0001] The present application relates to the monitoring of physiological parameters, in particular to an intelligent monitoring and alarming method and system based on multivariate parameter fusion. Background technique [0002] Studies have shown that the physiological deterioration of ICU inpatients often occurs 8 hours before the physiological monitoring data changes, so the deterioration of such patients may not be noticed by medical staff for a long period of time, so it cannot be carried out. timely medical intervention. In order to solve this problem, the common method is to use the single-parameter alarm mechanism of the monitoring equipment or the early warning scoring system (Early Warning Score-EWS). The alarm mechanism of the monitoring equipment is to generate a medical alarm when a certain physiological parameter exceeds the set threshold. However, this alarm mechanism is highly sensitive and has no specificity. Thousands of such alarms are ge...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/01A61B5/0205A61B5/145
CPCA61B5/01A61B5/02055A61B5/14542A61B5/7275A61B5/746A61B5/7264A61B5/7235
Inventor 何昆仑孙继鹏张政波曹德森梁洪沈丹宁王璨刘成一
Owner GENERAL HOSPITAL OF PLA
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