Physiological Alarm Management Using Multi-Scale Averaging
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Solution Overview
Problem
Patient monitoring systems generate a high number of false or clinically irrelevant alarms, which burdens nursing staff and can lead to delayed responses to true alarms due to latency in alarm initiation and termination, especially when physiological parameters fluctuate near alarm limits.
Innovation Solution
A method that determines multiple averages of physiological parameters over different averaging periods, assigns respective alarm limits, and uses these averages to define alarm indicators for timely and accurate alarm detection and management, preventing brief violations and allowing rapid alarm generation and termination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the monitor waits for a given time period after the parameter crosses an alarm limit before generating an alarm, then false alarms caused by brief crossings are reduced, but latency in alarm initiation increases
Solution Approach 1:
The patent divides the alarm generation process into multiple independent alarm indicators, each based on different averaging periods. This segmentation allows the system to simultaneously evaluate multiple time-scales: short-term averages for rapid response and long-term averages for filtering false alarms, thereby resolving the contradiction between speed and accuracy.
Solution Approach 2:
The system performs preliminary averaging of physiological parameters over multiple different periods before alarm generation. By pre-computing these averages, the system prepares filtered data that can immediately inform alarm decisions without requiring time-delayed waiting periods, thus reducing latency while maintaining reliability.
2Reliability
If the monitor uses multiple averaging periods to determine alarm indicators, then alarm accuracy is improved, but device complexity increases
Solution Approach 1:
The complex alarm generation task is segmented into multiple independent alarm indicators, each based on a specific averaging period. This modular approach allows the system to manage complexity by breaking down the decision-making process into manageable components that can be processed in parallel.
Solution Approach 2:
The system computes multiple averages with different periods (excessive action) to ensure comprehensive alarm accuracy, but only the necessary averages are actively used in the final alarm decision logic (partial action). This balances computational thoroughness with practical complexity management.
3Speed
If the monitor immediately generates alarms when parameters cross limits, then response speed is improved, but the number of false alarms increases
Solution Approach 1:
The alarm generation function is segmented into multiple parallel alarm indicators that operate simultaneously. Each indicator uses a different averaging period, allowing the system to maintain fast response (through short-term averages) while filtering false alarms (through long-term averages) without sequential delays.
Solution Approach 2:
Multiple averages are computed in advance before alarm generation occurs. This preliminary computation of statistical summaries allows the system to make immediate, well-informed alarm decisions without needing to wait for additional data collection, thus achieving both speed and reliability.
Data Source
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AI summary
A method for managing alarms in a physiological monitoring apparatus, a physiological monitoring apparatus, and a computer program product for a physiological monitoring apparatus are disclosed. A plurality of averages of a physiological parameter are determined (21), wherein the parameter is derived from at least one physiological signal acquired from a subject and wherein the averages represent a corresponding plurality of averaging periods. Respective alarm limits are assigned to the plurality of averages and at least one alarm indicator is defined (22), each alarm indicator being defined based on respective average and alarm limit. An alarm is detected (23, 34) based on the at least one alarm indicator.