Heart rate monitoring method and server based on bp neural network

A BP neural network and BP network technology are applied in the field of heart rate monitoring methods and servers based on BP neural network, which can solve problems such as insufficient monitoring and inability to monitor children's heart rate conditions, and achieve comprehensive monitoring results.

Active Publication Date: 2022-04-12
昊翔数字产业发展(河北)有限公司
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Problems solved by technology

However, this method can only detect the heart rate of a child, and cannot monitor the heart rate of all children in an area, and the monitoring is not comprehensive enough

Method used

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  • Heart rate monitoring method and server based on bp neural network
  • Heart rate monitoring method and server based on bp neural network
  • Heart rate monitoring method and server based on bp neural network

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Embodiment Construction

[0024] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0025] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0026] refer to figure 1 , figure 1 A schematic flow chart of the heart rate monitoring method based on BP neural network provided by an embodiment of the present invention, the method can be applied to the server side, and is described in detail...

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Abstract

The present invention is applicable to the technical field of intelligent monitoring, and provides a heart rate monitoring method and server based on BP neural network. The method includes: first, based on the original training data, the original BP network neural model is trained to obtain the trained BP network neural model. Model, the trained BP network neural model is used to predict the heart rate range value of multiple children, then obtain the heart rate feature data of multiple children in the target area, and finally import the heart rate feature data of multiple children in the target area into the trained BP network In the neural model, determine the heart rate range of multiple children in the target area; obtain the actual heart rate of any target child's monitoring terminal in the target area; if the actual heart rate range exceeds the heart rate range, send an alarm to the mobile terminal. Since the heart rate characteristic data of multiple children can be obtained, the heart rate range of multiple children in the target area can be determined by using the BP network neural model, and the heart rate of children in a certain area can be monitored, and the monitoring results are more comprehensive.

Description

technical field [0001] The invention belongs to the technical field of intelligent monitoring, in particular to a heart rate monitoring method and server based on BP neural network. Background technique [0002] Heart rate is an important data in the vital parameters of the human body, and it is in the kindergarten monitoring system of our country. In order to protect the safety of kindergarten children, the heart rate data of kindergarten children is usually monitored in real time. When the heart rate is abnormal, an alarm is sent to the monitoring system. [0003] At present, the traditional method for detecting heart rate is: comparing the monitored heart rate data of a child with a fixed threshold range, and when the monitored heart rate data exceeds this threshold range, an alarm prompt is sent. But this mode can only detect the heart rate situation of a child, and can not monitor the heart rate situation of all children in an area, and the monitoring is not comprehens...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/024G06N3/08
CPCA61B5/024G06N3/084A61B5/7264A61B2503/06
Inventor 师青亚田克克周阳张晓亮
Owner 昊翔数字产业发展(河北)有限公司
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