Autoregulation Monitoring via Normalized Regional Oxygen Saturation
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Solution Overview
Problem
Existing systems for monitoring autoregulation in patients fail to accurately account for variations in physiological signals, leading to unreliable autoregulation status determination due to interference from other physiological signals.
Innovation Solution
A system that normalizes regional oxygen saturation signals by correlating them with oxygen saturation measurements, using a gradient derived from historical or patient-specific data to remove variations, and calculates a cerebral oximetry index based on blood pressure and normalized oxygen saturation, enabling more accurate autoregulation monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing systems determine autoregulation status based on physiological signals without normalization, then the monitoring process is simple, but the measurement precision and reliability are poor due to signal variations from other physiological sources
Solution Approach 1:
The patent introduces an intermediary normalization process that mediates between the raw physiological signals and the autoregulation status determination. A normalization signal is generated based on the relationship between regional oxygen saturation and blood pressure, which serves as an intermediary to remove variations caused by other physiological signals before the final autoregulation assessment is made
Solution Approach 2:
The patent applies preliminary action by normalizing the regional oxygen saturation signal before using it to determine autoregulation status. The normalization process is performed in advance to remove unwanted variations, ensuring that the subsequent autoregulation assessment is based on cleaned, reliable data
2Reliability
If existing systems use raw regional oxygen saturation signals directly, then the system complexity is low, but the reliability of autoregulation monitoring is poor due to interference from other physiological signals
Solution Approach 1:
The normalization signal acts as an intermediary that isolates the autoregulation-related variations from other physiological interference. By introducing this intermediate processing step, the system achieves reliable monitoring without requiring complex multi-sensor arrays or sophisticated algorithms
3Measurement precision
If the system normalizes regional oxygen saturation signals using gradient-based methods, then the measurement precision improves, but the computational requirements and processing time increase
Solution Approach 1:
The patent applies partial action by using a simplified gradient-based normalization approach that processes only the essential variations in the signal. Rather than implementing a full-blown complex normalization algorithm, the system uses a targeted gradient method that achieves sufficient precision without excessive computational overhead
Data Source
AI summary
A method for monitoring autoregulation includes, using a processor, receiving a blood pressure signal an oxygen saturation signal, and a regional oxygen saturation signal from a patient. The method also includes normalizing the regional oxygen saturation signal to correct for variation in the oxygen saturation signal based on a relationship between the oxygen saturation signal and the regional oxygen saturation signal. The method further includes determining a linear correlation between the blood pressure signal and the normalized regional oxygen saturation signal. The method still further includes providing a signal indicative of the patient's autoregulation status to an output device based on the linear correlation.