Pulse Oximeter Heart Rate Selection Using Signal Metrics

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Solution Overview

Problem

Existing pulse oximeters face challenges in accurately determining pulse rates due to noise and variability in signal quality, particularly during arrhythmia, where ensemble averaging may not be appropriate, and there is a need for a method to select between multiple heart rate calculations based on confidence metrics.

Innovation Solution

A pulse oximeter design that calculates multiple heart rates and selects between them using signal metrics, employing a primary and alternative calculation method where the primary method does not use ensemble averaging, and the alternative method uses it only when the primary calculation disqualifies its most recently detected pulse, with continuously variable filter weights and adaptive noise handling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If ensemble averaging is used to improve signal quality, then measurement precision is improved, but reliability deteriorates during arrhythmia when ensemble averaging is not appropriate

Engineering Contradiction:
Improvesignal qualityVSAvoidaccuracy during arrhythmia
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The system dynamically switches between two different pulse rate calculation methods based on real-time signal quality assessment. The microprocessor monitors signal characteristics and adapts the calculation method accordingly, transitioning from the primary method (not using ensemble averaging) to the alternative method (using ensemble averaging) when signal quality deteriorates, thereby maintaining reliability across varying physiological conditions

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the processing parameters by selecting different calculation methods with different ensemble averaging characteristics. The microprocessor adjusts the calculation approach based on signal quality metrics, effectively changing the system's behavior parameters to optimize performance for different physiological states including arrhythmia

Inventive Principle:
Principle #35Parameter changes

2Reliability

If multiple heart rate calculation methods are implemented to improve reliability, then reliability is improved, but device complexity increases

Engineering Contradiction:
Improvepulse rate determinationVSAvoidcalculation methods
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The microprocessor is designed to execute multiple pulse rate calculation methods within a single device, making the device multi-functional. The system can perform both the primary calculation method and the alternative ensemble averaging method, selecting the appropriate one based on signal quality, thereby improving reliability without requiring separate devices

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system incorporates feedback mechanisms where the microprocessor continuously monitors signal quality metrics and uses this information to determine which calculation method to employ. This feedback loop enables the device to automatically select the most reliable method based on real-time conditions, managing complexity through intelligent control

Inventive Principle:
Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enhances the accuracy of pulse rate determination by adaptively handling noise and arrhythmia, ensuring reliable pulse rate calculations even when ensemble averaging is not suitable, thereby improving the robustness of pulse oximeter readings.

Implementation Method 1

a non-invasive sensor which scatters light through a portion of the patient's tissue where blood perfuses the tissue

Methodology Applied
Scientific EffectLight scattering: Scattering

Implementation Method 2

photoelectrically senses the absorption of light in such tissue

Methodology Applied
Scientific EffectPhotoelectric detection: Photoelectric Effect

Implementation Method 3

The amount of light absorbed at various wavelengths is then used to calculate the amount of blood constituent being measured

Methodology Applied
Scientific EffectLight absorption: Absorption (EM radiation)

Data Source

PatentUS7534212B2Pulse oximeter with alternate heart-rate determination
Publication Date: 2009.05.19 NELL COR PURITAN BENNETT INC (US)
  • US7534212B2 patent drawing
  • US7534212B2 patent drawing
  • US7534212B2 patent drawing

AI summary

A pulse oximeter which determines multiple heart rates, and selects between them based on the metrics of only one of the heart rate calculations. A primary heart rate calculation method is selected, and is used unless its metrics indicate questionable accuracy, in which case an alternative rate calculation is available and is used instead.