Entropy-Based Sleep Staging with Reduced Electrode Setup

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Solution Overview

Problem

Current sleep monitoring technologies require complex setups and specialized training, making them unsuitable for unattended home use due to high failure rates caused by improper electrode application and reduced diagnostic quality.

Innovation Solution

A modified electrode setup with a reduced electrode set combined with an entropy-based method for sleep stage assignment that interpolates missing information, allowing for simplified electrode application and accurate sleep stage determination.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a reduced electrode set is used, then ease of operation is improved, but measurement precision deteriorates

Engineering Contradiction:
Improveelectrode applicationVSAvoidspatial resolution
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent introduces an entropy-based computational method as an intermediary to compensate for the reduced spatial resolution. The entropy calculation (using formulas such as H = -Σp(i)log2p(i)) processes the limited EEG signals to extract sufficient information for accurate sleep staging, effectively mediating between the simplified electrode input and the diagnostic requirements

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If conventional PSG with full electrode setup is used, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improvesleep stage determination accuracyVSAvoidelectrode setup complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts only the essential EEG channels needed for sleep staging (reducing from the conventional 4+ EEG channels plus 2 EOG channels to a minimal set), removing unnecessary components while preserving diagnostic accuracy through the entropy-based analysis method

Inventive Principle:
Principle #2Taking out (Extraction)

3Ease of operation

If unattended sleep monitoring is implemented, then ease of operation is improved, but reliability deteriorates due to improper electrode application

Engineering Contradiction:
Improveunattended operationVSAvoidrecording quality
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system enables self-service operation where patients can independently apply the simplified electrode setup without professional training. The reduced electrode configuration with clear placement guidelines allows laypersons to achieve adequate signal quality, making the system self-sufficient for home use

Inventive Principle:
Principle #25Self-service

4Adaptability or versatility

If recurrent sleep investigations are performed, then diagnostic capability is improved, but loss of time increases due to laboratory requirements

Engineering Contradiction:
Improverecurrent investigation capabilityVSAvoidtravel and setup time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent creates a simplified copy of the laboratory PSG system that can be deployed at home. The reduced electrode setup combined with entropy-based analysis reproduces the essential diagnostic functionality of conventional PSG, enabling patients to perform recurrent investigations in the comfort of their own homes without traveling to the laboratory

Inventive Principle:
Principle #26Copying

Data Source

PatentUS9186083B2Method and system for sleep stage determination
Publication Date: 2015.11.17 NATUS MEDICAL INC
  • US9186083B2 patent drawing
  • US9186083B2 patent drawing
  • US9186083B2 patent drawing

AI summary

A method and system for sleep stage determination is disclosed comprising: acquiring EEG data from two or more EEG electrodes of an electrode arrangement, wherein the EEG data is divided into one or more epochs; detecting graphoelements from the EEG data for each epoch using a graphoelement detector; calculating a differential entropy from the EEG data for each epoch in an entropy module; and assigning a sleep stage to each epoch based on the calculated differential entropy and the detected graphoelements in a classifier module. This new method and system of sleep staging is potentially suited for, but not limited to, unattended sleep diagnostic scenarios.