EEG Signal Processing for Sleep Disorder Detection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current methods for detecting sleep disorders require a multitude of expensive physiological sensors and can only be used in medical institutions, making them costly and inconvenient for individuals.

Innovation Solution

A method and device that utilize a single EEG signal, processed through feature extraction and machine learning algorithms to determine sleep stages and generate an anomaly score, allowing for the detection of sleep disorders using a mobile application and reducing the need for multiple sensors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple physiological sensors are used to detect sleep disorder, then detection accuracy is improved, but device cost and complexity increase significantly

Engineering Contradiction:

Improvesleep disorder detection accuracyVSAvoidnumber of sensors required

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts and focuses on a single critical signal (EEG) from among multiple physiological signals, eliminating the need for numerous sensors while maintaining diagnostic capability for sleep disorders through sophisticated analysis of this one signal type

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The EEG signal analysis system performs multiple diagnostic functions including sleep stage classification, apnea detection, and general sleep disorder identification, replacing what would traditionally require multiple specialized sensors for each function

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Measurement precision

If multiple physiological sensors are used to detect sleep disorder, then detection accuracy is improved, but user comfort and ease of use deteriorate

Engineering Contradiction:

Improvesleep disorder detection accuracyVSAvoiduser comfort with sensors

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

Inventive Principle:

Principle #2Taking out (Extraction)

3Measurement precision

If multiple physiological sensors are used to detect sleep disorder, then detection accuracy is improved, but device cost increases

Engineering Contradiction:

Improvesleep disorder detection accuracyVSAvoiddevice cost

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent employs cost-effective EEG sensors and processing methods that can be deployed at scale without requiring expensive medical-grade equipment, making sleep disorder screening accessible for home use rather than confined to clinical settings

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

4Measurement precision

If multiple physiological sensors are used to detect sleep disorder, then detection accuracy is improved, but accessibility to medical institutions is required

Engineering Contradiction:

Improvesleep disorder detection accuracyVSAvoidhome use capability

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system enables individuals to perform their own sleep disorder screening at home using automated EEG analysis, eliminating the need for professional operators or medical institution infrastructure while maintaining diagnostic accuracy

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20240081732A1Method of detecting sleep disorder based on EEG signal and device of the same

Publication Date: 2024.03.14 NAT TAIWAN UNIV

AI summary

The present invention discloses a method of detecting sleep disorder based on an EEG signal and device of the same. The method and device only need an EEG signal for analysis to determine sleep disorder and abnormal score. Therefore, the method and device may reduce cost of collecting physical information and avoid from uncomfortable feeling of user who wears several sensors.