Dynamic Nociception Parameter Calculation for Analgesic Control
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Solution Overview
Problem
Current nociception monitoring systems face challenges in accurately determining when to administer analgesics during medical procedures due to noise interference and individual patient responses, leading to potential over-administration or under-administration of analgesics.
Innovation Solution
A system that calculates a characteristic nociception parameter based on values over a period of time, using methods such as averages or weighted averages, to provide a more accurate indication of nociceptive events, thereby guiding analgesic administration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a nociception threshold is used to determine analgesic administration, then the system can provide a clear decision criterion, but it leads to over-administration or under-administration due to noise interference and individual patient responses
Solution Approach 1:
The patent changes the parameter from a fixed threshold comparison to a dynamic characteristic value calculation that incorporates temporal information. Instead of simply comparing instantaneous nociception parameter values against a threshold, the system calculates a characteristic nociception parameter based on multiple values over time, thereby adapting the decision criterion to reduce false positives from noise while maintaining sensitivity to genuine nociceptive events.
Solution Approach 2:
The system performs preliminary calculation of the characteristic nociception parameter using historical data before making the analgesic administration decision. By pre-processing the nociception parameter values to derive a characteristic value that represents the underlying trend, the system prepares a more reliable input for the threshold comparison, reducing the impact of transient noise on the final decision.
2Speed
If instantaneous nociception parameter values are used for decision-making, then the system responds quickly to changes, but it is susceptible to noise interference causing false alarms
Solution Approach 1:
The system pre-calculates the characteristic nociception parameter using a sliding window approach that incorporates multiple historical values. This preliminary processing smooths out transient noise while preserving genuine nociceptive events, providing a cleaner signal for subsequent threshold comparison and reducing false alarms without significantly delaying the response.
Solution Approach 2:
The characteristic nociception parameter calculation uses a dynamic time window that adapts to the current situation. The window size and weighting factors can be adjusted to balance between responsiveness to new events and filtering of noise, allowing the system to maintain high measurement precision while preserving rapid response capability.
Data Source
AI summary
In some examples, a patient monitoring system includes processing circuitry configured to detect an occurrence of a nociception event of a patient during a medical procedure. The processing circuitry may, for example, monitor a nociception parameter of the patient during the medical procedure, determine a characteristic nociception parameter at a point in time based at least in part on values of the nociception parameter over a period of time, and determine, based at least in part on comparing the characteristic nociception parameter at the point in time with a nociception threshold, a nociception event has occurred at the point in time. In some examples, the processing circuitry is configured to provide an indication to adjust an amount of analgesic administered to the patient based on the determination that the nociception event has occurred at the point in time.