EEG Alpha Reactivity Detection for Neurocognitive Weakness
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Solution Overview
Problem
Current interventions for postoperative delirium and other neurocognitive impairments are limited due to a lack of understanding of their pathophysiological mechanisms, necessitating a need for systems and methods to predict and treat such conditions.
Innovation Solution
A system utilizing EEG electrodes and processors to measure and analyze alpha power reactivity in EEG signals before and after eye states changes to predict neurocognitive weakness, including the use of neurofeedback and biofeedback therapy, family counseling, and adjustments in anesthesia procedures based on alpha reactivity thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional clinical assessments are used to detect neurocognitive weakness, then the assessment process is simple and non-invasive, but the detection precision and early prediction capability are insufficient
Solution Approach 1:
The patent replaces traditional mechanical/clinical assessment methods with an electrophysiological measurement system. EEG electrodes detect electrical signals from the brain, and processors analyze alpha power reactivity to objectively quantify neurocognitive weakness, providing superior detection precision without requiring complex mechanical devices
Solution Approach 2:
The patent introduces EEG signals as an intermediary biomarker between brain function and clinical assessment. By measuring alpha power reactivity in EEG signals, the system creates an objective bridge that translates complex neurocognitive processes into measurable electrical parameters, enabling precise detection without direct invasive monitoring
2Reliability
If interventions are implemented without understanding pathophysiologic mechanisms, then treatment can be applied empirically, but the effectiveness and targeting of treatments are limited
Solution Approach 1:
The patent implements a feedback loop where EEG-based assessment continuously monitors alpha power reactivity to detect neurocognitive weakness, and this information feeds back to guide treatment decisions. The system identifies vulnerable patients and triggers targeted interventions (neurofeedback, biofeedback, counseling, anesthesia adjustments), creating a closed-loop approach that improves treatment effectiveness by continuously adapting to patient status
Solution Approach 2:
The patent performs preliminary assessment of alpha power reactivity before surgical procedures or other stressors to identify patients at risk for neurocognitive weakness. This early detection enables preventive interventions to be implemented before the actual stressor occurs, improving treatment effectiveness by addressing vulnerabilities proactively rather than reactively
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
The system effectively predicts and treats neurocognitive weaknesses by identifying alpha reactivity as a biomarker for attentional control, enabling early detection and intervention for conditions like postoperative delirium, mild cognitive impairment, and other neurological disorders.
Implementation Method 1
The one or more electrodes can be operable to measure a first set of one or more EEG signals of the subject and a second set of one or more EEG signals of the subject
Data Source
AI summary
Provided herein is a system for detecting neurocognitive weakness in a subject. The system can include one or more electrodes and at least one processor. The one or more electrodes can be operable to measure a first set of one or more EEG signals of the subject and a second set of one or more EEG signals of the subject. The at least one processor can be configured to receive the first set and the second set, determine a first alpha power from the first set and a second alpha power from the second set, determine a difference between the first alpha power and the second alpha power, and generate an alpha reactivity based on the difference. The first set can be measured when the subject is in an eyes-closed state. The second set can be measured when the subject is in an eyes-open state.