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Multi-parameter sleep monitoring and intelligent diagnosis system based on 4G mobile communication technology and application method of multi-parameter sleep monitoring and intelligent diagnosis system

A sleep monitoring and mobile communication technology, applied in the field of sleep monitoring, can solve the problems of low accuracy of automatic diagnosis, achieve huge diagnostic significance and market value, reduce psychological and physiological burden, solve the singleness of monitoring parameters and the problem of wired communication. inconvenience effect

Active Publication Date: 2015-04-29
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0012] 3. At present, the accuracy of automatic diagnosis of instruments is low. This project intends to improve the accuracy of automatic diagnosis through optimized analysis and diagnosis algorithms, and provide a technical basis for future remote sleep diagnosis

Method used

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  • Multi-parameter sleep monitoring and intelligent diagnosis system based on 4G mobile communication technology and application method of multi-parameter sleep monitoring and intelligent diagnosis system
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  • Multi-parameter sleep monitoring and intelligent diagnosis system based on 4G mobile communication technology and application method of multi-parameter sleep monitoring and intelligent diagnosis system

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Embodiment 1

[0039] combined with figure 2 , 3 , this embodiment describes in detail the basic composition of a multi-parameter sleep monitoring and intelligent diagnosis system based on 4G mobile communication technology.

[0040] A multi-parameter sleep monitoring and intelligent diagnosis system based on 4G mobile communication technology, comprising at least three parts: a sensing part, a receiving part, and a remote analysis and processing part, all of which have hardware entities.

[0041] The above-mentioned sensing part includes a multi-mode micro-load wearable physiological signal sensor, which can be a plurality of miniaturized physiological parameter sensing chips, external circuit connection terminals, signal transmission terminals, control circuits, and micro power supplies.

[0042] The above-mentioned receiving unit includes a signal receiving terminal, a memory, and a signal transmitting terminal.

[0043] The above-mentioned remote analysis and processing unit The remot...

Embodiment 2

[0056] This embodiment is carried out on the basis of Embodiment 1, and describes the usage method of the multi-parameter sleep monitoring and intelligent diagnosis system based on 4G mobile communication technology in Embodiment 1.

[0057] Before describing the method, refer to the attached figure 1 , the technical difficulties of the present invention are explained first.

[0058] 1. One of the technical difficulties: micro-load sensor reliability\accuracy technology

[0059] Reference attached figure 1 , for this technical difficulty, the dynamic physiological / pathological state adaptive recognition technology of sleep physiological signal monitoring, "multi-electrode compensation", "micro-load signal perception compensation", "secondary calibration" and other technologies are used to solve the current micro-load sensor The problem of inaccurate measurement and large errors caused by external factors; the self-adaptive pulse wave detection technology is used to realize t...

Embodiment 3

[0080] This embodiment is carried out on the basis of Embodiment 1-2. The difference from Embodiment 2 is that another filtering algorithm is used: a geometric feature filtering algorithm using time-frequency aliasing signals to effectively filter out physiological parameter detection Noise and interference, the method of setting a specific nonlinear filter in the time domain - geometric feature filtering method, using artificial neural network as a nonlinear filter, eliminating the usual design and optimization process for filter frequency characteristics, It only needs to train the weight coefficients of the artificial neural network, and there is no limit to the training method. Combined with the BP algorithm, the noise and interference of physiological parameter detection can be effectively filtered out.

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Abstract

The invention discloses a multi-parameter sleep monitoring and intelligent diagnosis system based on a 4G mobile communication technology and an application method of the multi-parameter sleep monitoring and intelligent diagnosis system. The multi-parameter sleep monitoring and intelligent diagnosis system at least comprises a sensing part, a receiving part and a remote-end analysis processing part; the sensing part comprises a plurality of small-sized physiological parameter sensing chips as well as an external circuit connecting terminal, a signal transmitting terminal, a control circuit and a micro power supply; the receiving part comprises a signal receiving terminal, a storage device and a signal transmitting terminal; the remote-end analysis processing part at least comprises an integration and amplification circuit, a differential sampling circuit, a band-pass filter circuit, a detection circuit, an A / D (analog / digital) conversion circuit and a display device. The multi-parameter sleep monitoring and intelligent diagnosis system is simple in structure and easy to wear, capable of realizing the real-time monitoring, transmission and analysis of multiple parameters of a human body such as electroencephalogram, electrocardio, blood oxygen saturation degree, myoelectricity, eye movement and the like, suitable for being used in household, capable of alleviating the psychological and physiological burden of the monitored and high in reliability.

Description

technical field [0001] The invention belongs to the field of sleep monitoring, and specifically relates to a multi-parameter sleep monitoring technology based on 4G network, which realizes real-time monitoring and transmission of multiple parameters such as human brain electricity, electrocardiogram, blood oxygen saturation, myoelectricity, and eye movement. ,analyze. Background technique [0002] By searching the patents on sleep monitoring on CNKI, there are a total of 531 patents, which are composed as follows: [0003] (1) Sleep breathing monitoring equipment and methods: a total of 264 patents; [0004] (2) Equipment and methods for monitoring apnea: a total of 133 patents; [0005] (3) Sleep disorders: a total of 75 patents; [0006] (4) Snoring monitoring equipment and methods: a total of 42 patents; [0007] (5) Equipment and methods for monitoring sleep disorders: 20 patents in total. [0008] It can be seen that the patent distribution is mainly based on respi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0205
CPCA61B5/00A61B5/0022A61B5/4806
Inventor 王心醉
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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