Autoblocking Physiological Waveform Baseline Wander Mitigation

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Solution Overview

Problem

Conventional medical monitoring systems face challenges in effectively mitigating baseline wander in physiological waveforms, which can obscure valuable clinical information and compromise signal quality.

Innovation Solution

The method involves extracting a low resolution preliminary baseline estimate and a high resolution deviation mean from the input physiological waveform, applying weight factors to suppress deviations, and combining these to generate an adjusted baseline estimate, which is then subtracted from the input waveform to produce an autoblocked display.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional baseline mitigation techniques are used, then baseline wander can be reduced, but the response time is slow and signal fidelity is compromised

Engineering Contradiction:

Improvebaseline wander mitigation effectivenessVSAvoidresponse time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The baseline estimation process is segmented into two independent paths: a low-resolution path for preliminary baseline estimation and a high-resolution path for deviation mean extraction. This segmentation allows each path to optimize for different aspects (speed vs. precision) without compromising the other, enabling fast response while maintaining signal fidelity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The low-resolution preliminary baseline estimate is calculated in advance as a first step before the high-resolution deviation mean is extracted. This preliminary action provides an immediate baseline correction while the high-resolution path refines the estimate, ensuring fast response time without sacrificing accuracy.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If high resolution baseline estimation is used, then signal fidelity is improved, but processing complexity increases

Engineering Contradiction:

Improvesignal fidelityVSAvoidprocessing complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The processing system is segmented into two parallel paths with different resolution levels. The low-resolution path handles preliminary baseline estimation with simpler processing, while the high-resolution path extracts deviation means with finer precision. This segmentation achieves high signal fidelity through the high-resolution path while keeping overall processing complexity manageable through the efficient low-resolution path.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes the resolution parameter dynamically by using low-resolution estimation for the preliminary baseline and high-resolution estimation for the deviation mean. This parameter change allows the system to achieve high signal fidelity when needed while reducing processing complexity through the low-resolution preliminary estimate.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If weight factor is applied to suppress deviation, then baseline wander is reduced, but processing steps increase

Engineering Contradiction:

Improvebaseline wander suppressionVSAvoidnumber of processing steps

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The low-resolution preliminary baseline estimate and high-resolution deviation mean are merged through a weighted combination process. The weight factor dynamically adjusts the contribution of each component, suppressing baseline wander effectively. This merging approach achieves reliable baseline wander suppression while integrating multiple processing steps into a unified operation.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The weight factor is determined based on the mean deviation, creating a feedback mechanism that dynamically adjusts the suppression strength. This feedback approach ensures effective baseline wander suppression while adapting the processing steps based on the actual signal conditions, reducing unnecessary complexity when suppression is not needed.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250064372A1Fast autoblocking for physiological waveform display

Publication Date: 2025.02.27 DRAGERWERK AG

AI summary

A method for autoblocking a physiological waveform display to mitigate baseline wandering, includes: extracting a low resolution preliminary baseline estimate from an input physiological waveform; extracting a high resolution deviation mean from the input physiological waveform; subtracting the low resolution preliminary baseline estimate from the high resolution deviation mean to extract a mean deviation of the input physiological waveform; determining a weight factor positively correlated to the mean deviation; applying the weight factor to the mean deviation of the input physiological waveform; applying the difference between 1 and the weight factor to the preliminary baseline estimate; combining the weighted mean deviation of the input physiological waveform with the weighted preliminary baseline estimate to extract an adjusted baseline estimate; and subtracting the adjusted baseline estimate from the input physiological waveform to obtain an autoblocked physiological waveform for display.