EEG Sedation Monitor With Drug Profile Feedback Control
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Solution Overview
Problem
Existing depth of consciousness monitors do not accurately account for variations in patient responses to sedation therapies between demographics and sedation therapies, leading to potential adverse outcomes from improper manual monitoring and dosage adjustments.
Innovation Solution
A noninvasive depth of consciousness monitor that includes an EEG interface, pre-processing front end, processor, and drug delivery device interface to automatically determine and communicate sedation levels, considering patient demographics and drug profiles, and optionally integrates with EMG and SpO2 sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and dosage adjustment is used, then device complexity is reduced, but reliability deteriorates due to potential human error and inability to account for individual patient variations
Solution Approach 1:
The system automatically monitors patient sedation depth using EEG signals and adjusts anesthetic dosage without requiring continuous manual intervention. The processor continuously analyzes EEG data, compares it against target ranges, and autonomously communicates dosage adjustments to the drug delivery device, enabling the system to serve itself in the monitoring and control loop.
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring EEG signals, analyzing sedation depth, and using this information to automatically adjust anesthetic dosage. The processor receives real-time EEG data, determines current sedation level, compares it to target ranges, and communicates feedback-controlled dosage adjustments to maintain optimal patient sedation depth.
2Reliability
If automated monitoring with multiple sensors is implemented, then reliability improves through continuous monitoring, but device complexity increases
Solution Approach 1:
The system uses a multi-functional integrated platform where a single processor handles EEG signal processing, sedation depth analysis, target range determination, and communication with the drug delivery device. The monitor is designed to accommodate multiple sensor types (EEG, EMG, SpO2) and perform various functions including real-time analysis, historical data comparison, and automated control, reducing the need for separate dedicated devices.
Solution Approach 2:
The system merges multiple monitoring functions into a single integrated unit. The EEG interface, EMG interface, SpO2 interface, processor, and drug delivery device interface are combined into one cohesive monitor system that performs all necessary sedation depth monitoring and control functions in a unified platform, reducing overall system complexity compared to using separate devices.
3Productivity
If manual dosage adjustment is used, then ease of operation is maintained, but productivity deteriorates due to frequent monitoring requirements and potential delays
Solution Approach 1:
The system automatically determines when dosage adjustment is needed and communicates the appropriate dosage changes to the drug delivery device without requiring continuous caregiver intervention. The processor monitors sedation depth continuously and autonomously triggers dosage adjustments based on predefined target ranges and patient parameters, eliminating delays associated with manual assessment and response.
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
Provides accurate, automated control over anesthetic dosage, reducing the risk of adverse events by accounting for individual patient variations and sedation therapy differences.
Implementation Method 1
caregivers place electrodes on the skin of the forehead to detect electrical activity produced by the firing of neurons within the brain
Data Source
AI summary
The present disclosure relates to physiological monitoring to determine the depth of consciousness of a patient under sedation. The monitor includes an EEG sensor and a depth of consciousness monitor. The depth of consciousness monitor can utilize treatment data, such as patient data and/or drug profile information with an EEG signal to determine whether the patient is adequately sedated.