Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Methods of identifying sleep and waking patterns and uses

A sleep and sleep state technology, applied in application, bioelectrical signal measurement, medical science, etc.

Inactive Publication Date: 2012-05-02
NEUROVIGIL
View PDF5 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Additionally, the difficulty of inserting electrodes requires highly trained personnel

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
  • Methods of identifying sleep and waking patterns and uses
  • Methods of identifying sleep and waking patterns and uses
  • Methods of identifying sleep and waking patterns and uses

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0121] Use isoflurane to anesthetize the mouse. Shave the scalp gently. Apply conductive gel (electrogel), and use colloidal cotton to fix standard 6mm gold-plated electrodes. By using the software and technology described in PCT application WO2006 / 1222201, the result data is analyzed using the above-mentioned advanced computing technology.

[0122] The voltage signal from the brain of the mouse is collected through electrodes and sent to the computer for analysis. The signal is roughly divided into 3 second signal periods. The frequency spectrum of each period is calculated to generate the entire recorded spectrum. The final spectrum is then normalized in frequency, which allows detection of previously unidentified frequencies.

[0123] In each time period, only the frequency with the highest deviation corresponding to the baseline is drawn. The final figure shows the different features in this space relative to the baseline. See again figure 2 These signals can be used to ...

Embodiment 2

[0149] Embodiment 2 shows how the exemplary method should be applied, by using automatic or manual data, and determining the sleep mode based on a single channel EEG.

[0150] Example 2

[0151] From 26 different polysomnography records obtained in 26 healthy human subjects, 26 nights of sleep (8 hours per night) single-channel EEG (derivation of C3-A2) were obtained. EEG data and manual scoring are provided by the experimental procedures approved by the institutional review board of each institution.

[0152] Collect EEG data at 256 Hz, and use a 60 Hz step filter (UCSD) to perform band-pass filtering of 0.3-100 Hz on the EEG data, or collect EEG data at 250 Hz and perform band-pass filtering of 0.53-70 Hz on the EEG data (MPI). Enlarge these records at 10K and manually score these records within a 30-second period based on R-K. For each recording, the spectrogram of the whole night can be calculated on 2 orthogonal cones over a period of 30 seconds by using standard multi-windo...

Embodiment 3

[0175] The sleep data of four pairs of twins were analyzed by using the above sleep staging technique.

[0176] Each column in 1-4 corresponds to 4 pairs of twins (the first pair is fraternal, and the second 2-4 are identical). Only REM (Time Split in Time) is shown. The twins exhibit a similar temporal division pattern ( Figure 34 ).

[0177] The general structure and technology and more specific implementations are described here, which can be used to influence different ways of achieving more general goals.

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

Provided is traditional analysis of sleep patterns requires several channels of data. This analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, determining the effect of medication on sleep states and identifying biomarkers, and drug dosages or reactions.

Description

[0001] cross reference [0002] This application claims the priority of U.S. Provisional Application No. 61 / 114986 filed on November 14, 2008, the priority of U.S. Provisional Application No. 61 / 114997 filed on November 14, 2008, and the priority of U.S. Provisional Application No. 61 / 114997 filed on November 14, 2008. The priority of U.S. Provisional Application No. 61 / 115464 filed on 17th, these applications are incorporated herein by reference. Technical field [0003] The present invention is directed to an analysis method, which is used to extract and evaluate data collected from animals (including humans) to determine the sleep type, and further identify biomarkers and diagnostic applications according to the sleep type. Background technique [0004] Animals (including humans) need sleep in order to work properly. Up to one-third of our entire life is spent on sleep. Lack of sleep will adversely affect physiological functions, memory and motor skills. Even various diseases ...

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): A61B5/04
CPCA61B5/4812A61B5/0476A61B5/4809A61B5/369A61B5/377A61B5/291A61B5/4815A61B5/293A61B5/0022A61B5/7235A61B5/372
Inventor 菲利普·罗
Owner NEUROVIGIL
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
Eureka Blog
Learn More
PatSnap group products