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Human respiration state monitoring system and method based on flexible sensing and deep learning

A respiratory state and monitoring system technology, which is applied in the directions of sensors, respiratory organ assessment, and telemetry patient monitoring, etc., can solve the problems of complex operation of respiratory monitoring schemes, inability to meet people's use needs, and low degree of intelligence, so as to achieve human-friendly and effective Good for training and improving accuracy

Active Publication Date: 2020-09-18
BEIHANG UNIV +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing respiratory monitoring solutions are often complicated to operate, inconvenient to use, low in intelligence, and not accurate enough to meet people's needs

Method used

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  • Human respiration state monitoring system and method based on flexible sensing and deep learning
  • Human respiration state monitoring system and method based on flexible sensing and deep learning
  • Human respiration state monitoring system and method based on flexible sensing and deep learning

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Embodiment Construction

[0058]In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0059] Such as figure 1 As shown, the human respiratory state monitoring system based on flexible sensing and deep learning includes: a flexible tension sensor based on MXene / PAA / ACC, a microcontroller, a wireless transmission module, a power module, a smart phone and a cloud server.

[0060] Among them, the flexible tension sensor based on MXene / PAA / ACC is preferably a wearable flexible tension sensor, which can be pasted or fixed on the human abdomen through a belt. Compared with traditional silicon-based wearable devices, the wearable flexible tension sensor of the present invention has the advantages of strong surface adaptability, human body friendliness, and wide monitoring range. Since the abdomen of the human body...

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Abstract

The invention provides a human respiration state monitoring system and method based on flexible sensing and deep learning, and the system comprises a flexible tension sensor which is used for converting human respiration data into an analog signal for output; a microcontroller which is connected with the flexible tension sensor through an analog-to-digital converter and used for receiving an analog signal output by the flexible tension sensor, converting the analog signal into a digital signal and outputting the digital signal through a wireless transmission module; a terminal which is connected with the microcontroller through a wireless transmission module and is used for receiving and outputting the digital signal output by the microcontroller; and a cloud server which is used for receiving the digital signal output by the terminal and monitoring and analyzing the respiration state of the human body by using a deep learning network model. According to the system and the method provided by the invention, the monitoring accuracy is improved based on deep learning, the cost is relatively low, and the use requirements can be well met.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a human respiratory state monitoring system and method based on flexible sensing and deep learning. Background technique [0002] Respiration is one of the basic physiological activities of the human body. With the development of science and technology and the improvement of living standards, people's demand for respiratory monitoring is gradually increasing, such as in the field of infant monitoring, medical auxiliary diagnosis, daily health care, and special types of work. Coal mining and other fields have a large demand for respiratory state monitoring. [0003] Existing respiratory monitoring solutions are often complicated to operate, inconvenient to use, low in intelligence, and not accurate enough to meet people's needs. [0004] Therefore, there is an urgent need to propose a system and method for respiratory monitoring that is simple to operate, easy to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/08A61B5/113
CPCA61B5/113A61B5/08A61B5/0816A61B5/0004A61B5/0022A61B5/6804A61B5/7267
Inventor 单光存储冰峰李鑫马奇志尹明韩露
Owner BEIHANG UNIV
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