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Real-time sleep staging detection method based on piezoelectric sensor and device for realizing method

A piezoelectric sensor, sleep staging technology, applied in the direction of pressure sensor, sensor, pulse rate/heart rate measurement, etc., can solve the problems of non-objectivity, poor portability, affecting the user's sleep, etc., to improve accuracy and judge accurate staging Effect

Inactive Publication Date: 2017-02-22
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can effectively improve the accuracy of the automatic sleep staging system, but the disadvantage of this method is that it is poor in portability, and it will affect the user's sleep when collecting EEG data, and the result is non-objective

Method used

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  • Real-time sleep staging detection method based on piezoelectric sensor and device for realizing method
  • Real-time sleep staging detection method based on piezoelectric sensor and device for realizing method

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Embodiment 1

[0023] like figure 1 and figure 2 Shown is a real-time sleep stage detection method based on piezoelectric sensors, the steps are as follows:

[0024] Step 1: The shockcardiogram collected by the piezoelectric sensing sensor, the signal is mixed with the heartbeat, respiration and body movement information during sleep.

[0025] Step 2: Bring the ballistocardiogram into the hidden Markov model, and train the hidden Markov models of several different sleep stages by fusing the different stages of the hidden Markov model of the heart rate and respiration rate of the ballistocardiogram.

[0026] Step 3: Combine the ballistocardiogram with the body motion detection algorithm to reduce the impact of body motion on staging based on heartbeat and breathing signals, and enhance the ability of the body motion detection algorithm to distinguish between awakening state and sleep state.

[0027] Step 4: Set up a fusion rule to fuse three signals: the hidden Markov model of heart rate, ...

Embodiment 2

[0036] A device based on a piezoelectric sensor-based real-time sleep stage detection method, comprising: a piezoelectric sensing mattress, a mobile terminal, and a cloud server, wherein the piezoelectric sensing mattress is connected to the mobile terminal and the cloud server respectively, and the mobile terminal is connected to the server , so that the two can exchange data. The piezoelectric sensing mattress is equipped with a communication module, so that it can be connected to the mobile terminal and the cloud server separately. When the voltage sensing mattress detects the BCG signal, it will be sent to the mobile terminal at the same time, and the information will also be sent to the cloud server for storage. Users can also retrieve data from the cloud server for viewing at any time.

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Abstract

The invention discloses a real-time sleep staging detection method based on a piezoelectric sensor and a device for realizing the method. According to the method and the device, a sleep piezoelectric sensing mattress is adopted for collecting BCG (Ballistocardiographic, namely, the ballistocardiography) signals of long-term sleep, and the signals are mixed with the information including the heartbeat, the breath and the body motion during the sleep process. The sleep staging algorithm mixed with multiple signals is adopted, the hidden markov model is applied to the research for the sleep breathing data, by utilizing the advantages of the hidden markov model mixed with the heartbeat and the breath rate at different stages, and in combination with the body motion detecting algorithm, the influences of the body motion for the staging based on the heartbeat and the respiratory signals are reduced, meanwhile, the discernibility of the body motion detecting algorithm for the waking state and the sleep state is enhanced, and further, the long-time automatic sleep staging accuracy rate based on the piezoelectric sensing signals is improved; the algorithm is deployed to a server, so that the automatic sleep staging is realized.

Description

technical field [0001] The invention relates to the field of sleep data collection, in particular to a piezoelectric sensor-based real-time sleep stage detection method and a device thereof. Background technique [0002] During sleep, various changes in the EEG occur, and these changes vary with the depth of sleep. According to the different characteristics of the EEG, sleep is divided into two states: non-rapid eye movement sleep (also known as normal phase sleep, slow wave sleep, synchronous sleep, quiet sleep, NREM sleep) and rapid eye movement sleep (also known as Out-of-phase sleep, rapid wave sleep, desynchronized sleep, active sleep, REM sleep, also known as Rem period phenomenon), the two are distinguished by whether there is paroxysmal rapid movement of the eyeballs and different brain wave characteristics. The existing sleep staging detection methods are as follows: [0003] 1. A sleep staging method based on sleep EEG signals, using a preset time-frequency analy...

Claims

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Application Information

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IPC IPC(8): A61B5/0205A61B5/11A61B5/00
CPCA61B5/0205A61B5/024A61B5/0816A61B5/1118A61B5/4809A61B5/4812A61B5/4815A61B5/6891A61B5/6892A61B5/7267A61B2562/0247
Inventor 李科许良韩映萍李扬帆曾东
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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