3D Accelerometer Motion Artifact Filtering for Noninvasive Glucose Monitoring

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Solution Overview

Problem

Noninvasive measurement of blood analytes like glucose is challenging due to high intrinsic absorption by biologic tissue, low concentrations, and movement-induced noise, making it difficult to achieve accurate readings using traditional infrared spectroscopy.

Innovation Solution

Incorporating one or more 3D accelerometers to provide motion information, aiding in signal noise reduction and patient feedback for proper sensor positioning, thereby improving the quality of analyte monitoring signals.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If traditional infrared spectroscopy is used to measure blood glucose noninvasively, then the measurement can be performed without invasive procedures, but the measurement precision deteriorates due to high intrinsic absorption by biologic tissue, low concentrations, and movement-induced noise

Engineering Contradiction:
Improvenoninvasive measurementVSAvoidblood glucose measurement accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent introduces an accelerometer as an intermediary device that detects motion and provides feedback signals. This mediator helps identify and correct movement artifacts in the infrared spectroscopy measurements, thereby improving measurement precision while maintaining noninvasive operation. The accelerometer acts as a bridge between the motion detection system and the glucose measurement system.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent implements a feedback mechanism where the accelerometer continuously monitors motion and provides real-time signals to the measurement system. When motion is detected, the system adjusts or pauses the glucose measurement, preventing inaccurate readings. This feedback loop significantly improves measurement precision by eliminating movement-induced noise while preserving the noninvasive nature of the test.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If the sensor remains stationary to improve measurement precision, then movement-related noise is reduced, but the ease of operation deteriorates as patients cannot naturally move their bodies

Engineering Contradiction:
Improvesignal qualityVSAvoidpatient comfort and natural movement
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The accelerometer provides real-time feedback on sensor motion to the measurement system. When the patient moves naturally, the system detects this through the accelerometer and automatically adjusts measurement timing or applies correction algorithms. This allows patients to move freely without compromising measurement precision, as the system compensates for motion artifacts dynamically.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system changes operational parameters based on motion detection. When motion is detected via the accelerometer, the system modifies measurement parameters such as acquisition timing, signal processing methods, or measurement duration. This dynamic parameter adjustment enables the system to maintain precision while allowing natural patient movement.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If motion artifacts are removed to improve signal quality, then measurement precision improves, but the device complexity increases due to additional sensors and processing

Engineering Contradiction:
Improveanalyte monitoring accuracyVSAvoidsensor and processing system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The accelerometer serves multiple functions: it detects motion artifacts, provides feedback for real-time measurement adjustment, and enables post-processing correction algorithms. By making this single component multi-functional, the patent improves measurement precision without proportionally increasing device complexity. The same sensor and processing infrastructure handle both motion detection and signal quality enhancement.

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

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

The use of 3D accelerometers enhances the accuracy of blood analyte monitoring by filtering out movement-related noise and providing feedback to patients for optimal sensor placement, leading to improved measurement precision and convenience.

Implementation Method 1

one or more accelerometers to aid in the collection of data, operation of the device, filtering, and other uses

Methodology Applied
Scientific EffectAcceleration detection: Accelerometer

Data Source

PatentUS9510779B2Analyte monitoring using one or more accelerometers
Publication Date: 2016.12.06 MASIMO CORP
  • US9510779B2 patent drawing
  • US9510779B2 patent drawing
  • US9510779B2 patent drawing

AI summary

The present disclosure relates to methods, devices, and systems for measuring a blood analyte, such as glucose. The disclosure relates more specifically to the use in such methods, devices, and systems of one or more accelerometers to aid in the collection of data, operation of the device, filtering, and other uses. In some embodiments, the accelerometers are three-dimensional accelerometers. An accelerometer can be used in conjunction with analyte monitoring that may be performed with infrared, near infrared, or other wavelength spectroscopy. The accelerometer may allow a monitoring instrument to expect noisy measurement data, indicate positioning of a measurement site for improved expected results, indicate position of the instrument, or help the user properly place or control the instrument. It may also improve analyte monitoring by providing motion information that can be used to help determine and reduce or remove movement-related signal artifacts or noise that may be present within the monitoring signal.