Physiological Signal Filtering for Inconclusive CPR Analysis
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Solution Overview
Problem
Medical devices often produce inconclusive results when analyzing physiological parameters due to artifacts caused by treatments like chest compressions, leading to potential harm from pausing life-saving treatments for manual review.
Innovation Solution
A monitoring device generates first filtered data to analyze automatically and second filtered data for manual review, allowing users to assess patient conditions without pausing treatments, using different filters to optimize for automated and manual analysis respectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of physiological parameter data is performed to resolve inconclusive results, then analysis accuracy is improved, but treatment interruption occurs
Solution Approach 1:
The patent segments the data processing into multiple filtering stages: first filter generates first filtered data for automated analysis, second filter generates second filtered data for manual review only when needed. This segmentation allows automated processing to handle most cases without interruption, while manual review is reserved for inconclusive cases, thus resolving the contradiction between accuracy and treatment continuity.
Solution Approach 2:
The patent introduces an automated analysis system as an intermediary between data acquisition and manual review. The automated system processes filtered data and determines whether manual review is necessary, acting as a mediator that reduces the frequency of treatment interruptions while maintaining analysis accuracy through selective escalation to human reviewers.
2Extent of automation
If artifact removal filtering is applied to physiological parameter data, then automated analysis capability is improved, but data suitability for manual review deteriorates
Solution Approach 1:
The patent applies different filtering segments to serve different purposes: a first filter optimized for automated analysis that removes artifacts effectively, and a second filter that preserves data characteristics needed for manual review. This segmentation allows each filtered data stream to be optimized for its specific use case, resolving the contradiction between automated analysis capability and manual review suitability.
Solution Approach 2:
The patent applies local quality by providing different data quality characteristics in different contexts: first filtered data has high artifact removal quality for automated analysis, while second filtered data maintains better signal characteristics for manual review. Each data stream has locally optimized quality properties suited to its specific application.
Data Source
AI summary
An example method includes generating first filtered data by applying a first filter to physiological parameter data representing the physiological parameter; generating second filtered data by applying a second filter to the physiological parameter data; and determining a first index by analyzing the first filtered data. The example method further includes determining that the first index is greater than a first threshold and lower than a second threshold; and in response to determining that the first index is greater than the first threshold and lower than the second threshold, displaying the second filtered data. Upon expiration of a time period after outputting the second filtered data, the method further includes determining a second index by analyzing the first filtered data; generating a first treatment recommendation by analyzing the second index; and displaying the first treatment recommendation.