Plethysmography Signal Processing for VAR-Robust Sleep Event Detection

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Solution Overview

Problem

Conventional plethysmography methods struggle to accurately detect sleep-disturbing events due to the interference of venoarteriolar reflex (VAR) caused by hydrostatic pressure gradients, leading to false positives and negatives in sleep disorder detection.

Innovation Solution

A method and apparatus using conventional plethysmography probes to process signals for vasoconstriction events by deriving reference and baseline amplitude values, accounting for VAR effects, and employing classifiers to identify sleep-disturbing events based on magnitude measures of vasoconstriction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If conventional plethysmography probes are used to detect sleep-disturbing events, then the detection process is simple and uses off-the-shelf equipment, but the detection accuracy deteriorates due to interference from venoarteriolar reflex (VAR) caused by hydrostatic pressure gradients

Engineering Contradiction:
Improveease of useVSAvoiddetection accuracy
Core Design Contradiction:
Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent introduces an intermediary processing layer between the raw plethysmography signal and the final detection output. This intermediary involves deriving a baseline-invariant version of the signal and calculating magnitude measures that compensate for VAR effects, allowing conventional equipment to achieve accurate detection without requiring complex hardware modifications

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent transforms the raw plethysmography signal into a baseline-invariant representation by adjusting signal parameters. Specifically, it calculates magnitude measures based on reference and baseline amplitude values, changing the signal's mathematical properties to eliminate the confounding VAR effect while preserving sleep-event information

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If venoarteriolar reflex (VAR) effects are not accounted for, then the signal processing is simpler, but false positives and negatives increase in sleep disorder detection

Engineering Contradiction:
Improvesignal processing complexityVSAvoiddetection reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent performs preliminary signal processing actions before final detection by first deriving the baseline-invariant version of the plethysmography signal and pre-calculating magnitude measures. This preliminary compensation for VAR effects ensures that subsequent detection algorithms operate on cleaned data, reducing false positives and negatives without requiring complex real-time adjustments during detection

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If complex pressure-providing probes are used to reduce venous blood pooling, then the detection accuracy improves, but the device complexity and cost increase

Engineering Contradiction:
Improvedetection accuracyVSAvoidprobe complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent substitutes the mechanical approach (complex pressure-providing probes with internal and external membranes) with a signal processing approach. Instead of physically compensating for VAR effects through complex probe mechanics, the invention uses mathematical transformations on the signal to eliminate VAR interference, achieving the same detection accuracy with simple conventional probes

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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 significantly reduces false positives and negatives in sleep-disturbing event detection, ensuring accurate and robust identification using off-the-shelf medical equipment.

Implementation Method 1

Optical plethysmography or photoplethysmography measures the arterial blood volume changes by shining light from one or more light sources, such as LEDs, onto an investigated volume and by detecting collected light corresponding to the light being reflected or transmitted in the investigated volume on a sensor

Methodology Applied
Scientific EffectOptical plethysmography: Photoelectric Effect

Implementation Method 2

Plethysmography, be it pneumatic-based or optics-based, is a measurement technique commonly used to monitor changes in blood volume in the macrovascular and the microvascular system of an individual

Methodology Applied
Scientific EffectPlethysmography:

Implementation Method 3

Norepinephrine is released in the bloodstream and binds to adrenergic receptors in the arterioles in the investigated volume, which triggers an increase in muscle tension of the arterioles resulting in a reduction of the arteriole diameter

Methodology Applied
Scientific EffectAdrenergic receptor activation:

Implementation Method 4

due to the effect of gravity, when some part of the body is situated below heart level, a hydrostatic pressure gradient is automatically generated. Hydrostatic pressure gradients affect the venous system, an innately low-pressure system, causing venous distention also known as venous blood pooling

Methodology Applied
Scientific EffectHydrostatic pressure gradient: Pressure Gradient

Data Source

PatentEP4656131A1Method and apparatus for detecting sleep-disturbing events from a signal indicative of a peripheral arterial tone of an individual
Publication Date: 2025.12.03 ECTOSENSE NV
  • EP4656131A1 patent drawingFigure 1A~1B
  • EP4656131A1 patent drawingFigure 2
  • EP4656131A1 patent drawingFigure 3

AI summary

The present disclosure relates to a method and apparatus for detecting sleep-disturbing events from a signal indicative of a peripheral arterial tone of an individual, the signal being affected by a venoarteriolar reflex, wherein sleep-disturbing events are detected by: determining a vasoconstriction event from changes in the signal; deriving, a reference amplitude value and a baseline amplitude value for the vasoconstriction event, the reference amplitude value being different from the baseline amplitude value; relating the reference amplitude value for the vasoconstriction event to the baseline amplitude value for the vasoconstriction event, thereby obtaining a magnitude measure for the vasoconstriction event; and detecting, therefrom, a sleep-disturbing event.