Human body sleep signal detecting method

A signal detection and sleep technology, applied in the field of human sleep signal detection, can solve the problems of difficulty in obtaining accurate data, large amplitude fluctuation range, and low signal-to-noise ratio, and achieve the effect of easy detection, low hardware configuration requirements, and improved accuracy

Inactive Publication Date: 2017-05-31
SHANDONG NOVATECH INFORMATION SYST
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the process of monitoring, it is necessary to go to a professional medical place, professional technicians are required to monitor, and it is necessary to set up multiple monitoring electrodes on the monitored object for contact monitoring, the environment in which the monitoring is performed and the contact of the electrodes during the monitoring process. Interference, cannot objectively and naturally reflect the sleep state of the monitored object, resulting in inaccurate monitoring results
Non-contact detection equipment such as piezoelectric films, radio frequency sensors, etc., have variable waveforms, large amplitude fluctuations, and low signal-to-noise ratios. It is often difficult to obtain accurate data using existing algorithms

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human body sleep signal detecting method
  • Human body sleep signal detecting method
  • Human body sleep signal detecting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] See figure 1 , figure 1 This is a schematic flow chart of an embodiment of a method for detecting human sleep signals provided by the present invention. The method includes the following steps:

[0040] Step S100: Perform continuous periodic sampling on the output signal of the piezoelectric film sensor, and convert the sampled data into waveform data.

[0041] The human sleep signal detection method provided in the embodiment of the present invention uses a piezoelectric film sensor to sense the human body vibration signal, converts the vibration signal into an alternating current signal, and performs continuous periodic sampling on the output signal of the piezoelectric film sensor. Set the sampling period, perform sampling according to the set period, obtain sampling data, and convert one period of sampling data into waveform data. The waveform data is convenient for subsequent data processing. The conversion of sampled data is generally performed by high-resolution AD co...

Embodiment 2

[0052] To facilitate the implementation of the first embodiment, the embodiment of the present invention provides the second embodiment, please refer to the attached figure 2 , The human sleep signal detection method provided in the second embodiment further includes:

[0053] Step S101: Determine whether the sampling period is completed.

[0054] If not, continue sampling.

[0055] If yes, proceed to the next steps.

[0056] In the process of periodically sampling the output signal of the piezoelectric film sensor, it is judged whether the periodic sampling is completed, if so, the subsequent steps are continued to process the waveform data, if otherwise, the sampling is continued until the periodic sampling is completed.

[0057] This embodiment achieves the detection of periodic sampling and ensures that the periodic sampling is completed during the sampling process. For the beneficial effects of this embodiment, refer to Embodiment 1, which will not be repeated here.

Embodiment 3

[0059] In order to optimize the technical solution, in conjunction with the first embodiment, the embodiment of the present invention provides the third embodiment. For details, refer to the appendix image 3 In this embodiment, the human sleep signal detection method further includes:

[0060] Step S500: Perform signal gain processing on the waveform data of the two frequency bands respectively.

[0061] Step S500 is provided between step S200 and step S300. After completing the frequency division of the waveform data, gain processing is performed on the waveform data of each frequency band. The gain range is generally selected as 1-512, which can be automatically adjusted within its range, so that the waveform data of each frequency band is stabilized within a certain range, which improves the accuracy of data processing.

[0062] Further, the human sleep signal detection method provided in this embodiment further includes:

[0063] Step S501: Calculate the amplitudes of the wavefo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a human body sleep signal detecting method, wherein the method includes steps of performing continuous periodic sampling on an output signal of a piezoelectric film sensor, and transforming the sampling data to waveform data; dividing the waveform to be two frequency sections of waveform data by a digital filter, wherein the frequency sections are 0.1-0.5 Hz frequency section and 1-15 Hz frequency section; respectively solving the cycle of the waveform data of two frequency sections; calculating frequencies of two frequency sections of waveform data. The human body sleep signal detecting method provided by the embodiment of the invention is convenient to detect sleep, and includes dynamic and fuzzy signal processing methods; the method solves the difficulty that the existed method cannot exactly acquire the monitoring data set by the non-contact type detecting, and improves the accurate rate of the sleep detecting data.

Description

Technical field [0001] The invention relates to the technical field of medical equipment, in particular to a method for detecting human sleep signals. Background technique [0002] Sleep is a natural state of rest that is ubiquitous in biology. Human sleep time accounts for one-third of life, so the quality of sleep is the basis for half of the quality of life. It is generally believed that sleep can help restore physical and mental strength, relieve stress, enhance memory, and maintain good health. Many studies have shown that the quality of sleep directly reflects the health of the human body. To better monitor human health, monitoring of human sleep is becoming more and more common. [0003] At present, sleep monitoring equipment mainly analyzes sleep indicators based on breathing, heartbeat, and body motion signals. Existing methods for detecting respiratory frequency and heart rate are basically based on contact devices. The monitoring data can be obtained by sampling and pr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00
CPCA61B5/4809A61B5/4815A61B5/7235
Inventor 刘振平孙冠兵李雪峰王志民
Owner SHANDONG NOVATECH INFORMATION SYST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap