RF and Optical SpO2 Fusion for Motion Artifact Correction
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Solution Overview
Problem
Existing pulse oximeters face challenges in accurately measuring SpO2 levels due to motion artifacts, poor peripheral perfusion, skin pigmentation, dark nail polish, and carbon monoxide poisoning, which interfere with the detection of light absorption by hemoglobin.
Innovation Solution
A system utilizing radio frequency (RF) signals to monitor SpO2 levels, which includes TX and RX antennas, an ADC converter, and a machine learning module to process RF waveforms and correct for errors and inaccuracies caused by motion and perfusion issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If optical pulse oximetry is used to measure SpO2, then non-invasive monitoring is achieved, but measurement accuracy deteriorates due to motion artifacts and poor peripheral perfusion
Solution Approach 1:
The patent combines RF sensing technology with optical pulse oximetry to create a hybrid measurement system. The RF sensor detects motion artifacts independently, and this information is fused with optical SpO2 measurements to correct for motion-induced errors, thereby maintaining non-invasive monitoring while improving measurement accuracy during patient movement
Solution Approach 2:
The RF sensor acts as an intermediary that detects motion artifacts separately from the optical measurement path. By measuring motion independently through RF signals, the system can identify and correct motion-related errors in the SpO2 readings without disrupting the primary optical measurement process
2Duration of action of stationary object
If optical pulse oximetry is used to measure SpO2, then continuous monitoring is achieved, but reliability deteriorates due to skin pigmentation and carbon monoxide poisoning
Solution Approach 1:
The RF sensing component adds multi-functionality to the monitoring system by detecting both motion artifacts and potential perfusion issues. This universal detection capability enhances the reliability of continuous SpO2 monitoring across diverse patient conditions including those with skin pigmentation variations or carbon monoxide exposure
3Ease of operation
If motion artifacts are present during SpO2 measurement, then patient comfort is maintained, but measurement accuracy deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring motion through RF sensors and using this information to adjust or correct the SpO2 measurements in real-time. When motion artifacts are detected, the system can compensate for their effect on the optical measurement, maintaining both patient comfort during movement and measurement accuracy
Data Source
AI summary
A system that includes a real-time, non-invasive radio frequency (RF) device for detecting analytes, such as SPO2, in a patient's blood. The RF device detects a wave signal that results from the transmission of RF waves into the patient's body. The wave signal is compared to known standard waveforms, and similar waveforms are input into a machine learning algorithm in order to determine one or more health parameters of the person. Health parameters are collected from an optical SPO2 device, stored, and fused with the health parameters from the RF device. The system then notifies the person and/or health professionals of the person's health status.