Two-Channel EEG Delirium Prediction Before Surgery
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Solution Overview
Problem
Existing methods for diagnosing postoperative delirium are inadequate, lacking standardized diagnostic tools and relying on subjective assessments, particularly for elderly patients with cognitive impairments, and current EEG systems are cumbersome with many electrodes.
Innovation Solution
A delirium occurrence predicting method and device using a simplified two-channel EEG system focused on median dominant frequency (MDF) values between 5.5 to 13 Hz to predict postoperative delirium likelihood, providing early diagnosis through EEG signals obtained prior to surgery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a standardized diagnostic method for delirium is implemented, then diagnostic consistency and reliability are improved, but the complexity of the diagnostic system increases due to multiple observation and interview requirements
Solution Approach 1:
The patent replaces the mechanical system of manual observation and interviews with an automated EEG-based diagnostic system. The EEG device objectively measures brain wave patterns to detect delirium, substituting the complex human-driven diagnostic process with an automated physiological measurement system that provides consistent results without requiring multiple observers or interviewers.
Solution Approach 2:
The patent introduces EEG signals as an intermediary objective measure between the patient's cognitive state and the diagnostic conclusion. Instead of directly observing behavioral symptoms requiring interpretation, the system uses EEG brain wave patterns as an intermediate indicator that objectively reflects delirium status, simplifying the diagnostic pathway while improving reliability.
2Reliability
If EEG-based cognitive function measurement is used, then objectivity and reliability of assessment are improved, but the complexity and cost of equipment increases due to multiple electrodes
Solution Approach 1:
The patent extracts only the essential EEG channels needed for delirium detection from the complete 64-channel EEG system. By identifying and utilizing specifically the frontal midline theta (FMT) and other critical brain regions relevant to delirium, the system removes unnecessary electrodes and complexity while retaining the objective physiological measurement capability.
Solution Approach 2:
The patent applies local quality by focusing EEG measurement on specific brain regions (frontal lobes, temporal lobes) that are most relevant to delirium detection rather than uniformly measuring all brain areas. This targeted approach places electrodes only where physiologically necessary, reducing overall device complexity while maintaining diagnostic reliability for the specific condition.
3Loss of information
If traditional 64-channel EEG system is used, then comprehensive brain function coverage is improved, but ease of operation and user convenience deteriorates due to cumbersome electrode placement
Solution Approach 1:
The patent extracts and utilizes only the critical EEG channels necessary for delirium detection from the comprehensive 64-channel system. By identifying the specific brain regions involved in delirium pathophysiology, the system removes the majority of electrodes that do not contribute to the specific diagnostic goal, dramatically simplifying the procedure while maintaining sufficient information for accurate diagnosis.
Solution Approach 2:
The patent applies partial action by using a subset of EEG channels (rather than the full 64 channels) that is sufficient for delirium detection. The system performs only the necessary measurements for the specific diagnostic purpose, avoiding the excessive complexity of comprehensive whole-brain mapping while still capturing the relevant physiological information needed for reliable delirium assessment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables early prediction of postoperative delirium with reduced equipment complexity and cost, allowing for targeted prevention strategies and informed surgical decisions.
Implementation Method 1
The electroencephalogram (EEG, brainwave) is an electrophysiological monitoring method which records electrical activity of the scalp
Data Source
AI summary
The present specification provided a method and device for providing information on delirium occurrence, wherein the information is provided prior to surgery. The method, which is implemented by a processor, comprises the steps of: receiving an electroencephalogram (EEG) signal obtained from an individual prior to surgery; and predicting the likelihood of postoperative delirium occurrence based on the received EEG signal.


