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A System For The Assessment Of Sleep Quality In Adults And Children

A sleep quality, sleep technology, applied in the field of sleep quality assessment systems for adults and children, can solve problems such as changes

Inactive Publication Date: 2012-02-01
ADVANCED BRAIN MONITORING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Variability in amplitude is less of a problem when visual scoring is used, however it is problematic when using mathematically based measures of normal respiratory volume variation

Method used

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  • A System For The Assessment Of Sleep Quality In Adults And Children
  • A System For The Assessment Of Sleep Quality In Adults And Children
  • A System For The Assessment Of Sleep Quality In Adults And Children

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Embodiment Construction

[0029] Provides systems and methods for assessing sleep quality in adults and children. This assessment of sleep quality involves performing simultaneous measurements of two types of signal data: (1) signal data related to the sleep state, and (2) signal data related to the type of sleep disturbance (herein also referred to as "arousal") . These technical systems allow clinicians to more accurately correlate sleep quality with the following diseases / disorders. Given the fundamental night-to-night variability in physiology, this patient home is the preferred setting for conducting multiple-night studies. Thus, embodiments use electrodes and sensors that are capable of self-application with limited skin or scalp preparation, and that monitor signal quality during use and provide user feedback when signal quality issues are detected.

[0030] The techniques disclosed herein offer advantages over commonly used techniques for monitoring sleep quality by bringing together data rel...

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Abstract

Systems and methods for assessment of sleep quality in adults and children are provided. These techniques include an apparatus worn above the forehead containing the circuitry for collecting and storing physiological signals. The apparatus integrates with a sensor strip and a nasal mask to obtain the physiological signals for the user. The form factor of this apparatus is comfortable, easy to self-apply, and results in less data artifacts than conventional techniques for capturing physiological data for analyzing sleep quality. Neuro-respiratory signals are analyzed using means to extract more accurate definitions of the frequency and severity of sleep discontinuity, sleep disordered breathing and patterns of sleep architecture.; Biological biomarkers and questionnaire responses can also be compared to a database of healthy and chronically diseased patients to provide a more accurate differential diagnosis and to help determine the appropriate disease management recommendations.

Description

technical field [0001] The present invention relates generally to the field of monitoring sleep architecture, and more particularly, to systems and methods for assessing sleep quality in adults and children. Background technique [0002] Sleep is necessary for survival, and poor sleep quality is a major factor in the formation of chronic diseases. Typically, individuals have four to six sleep cycles per night, each between 60 and 120 minutes in length and consisting of varying proportions of rapid eye movement (REM) sleep and non-REM sleep (which is further divided into stage N1 , N3 and N3). Normally each sleep cycle begins with non-REM sleep and ends with REM sleep. The first half of the night contains most of the N3 or slow wave sleep (SWS), while rapid eye movement (REM) sleep is prominent in the second half. SWS is considered the deepest and most restorative sleep stage in which there are decreases in heart rate, blood pressure, sympathetic activity and brain glucose...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0205A61B5/08A61B5/0476
CPCA61B5/7221A61B5/721A61B5/4812A61B5/0205A61B5/7275A61B5/4815A61B5/087A61B5/18A61B5/6819
Inventor D·J·莱万德夫斯基P·R·维斯布鲁克C·贝尔卡D·波波维奇T·撒沃拉G·戴維思M·米特洛维奇B·维利科维奇
Owner ADVANCED BRAIN MONITORING
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