Adaptive PPG Motion Artifact Filtering Using Acceleration Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for filtering pulse signal motion interference in photoplethysmography (PPG) signals require large amounts of data, complex calculations, multiple PPG sensors, are limited to static measurements, and only allow post-processing, failing to effectively address motion artifacts in real-time heart rate monitoring.
Innovation Solution
A method and apparatus that uses a green light source to acquire pulse signals in real-time, preprocesses the signals with an infinite impulse response filter to remove baseline data and high-frequency noise, and adaptively filters motion artifacts using acceleration data to improve signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing methods for filtering pulse signal motion interference are used, then motion artifact reduction is achieved, but the methods require large amounts of data, complex calculations, multiple PPG sensors, are limited to static measurements, and only allow post-processing
Solution Approach 1:
The patent extracts and removes motion artifact components from the PPG signal through adaptive filtering techniques. The motion artifact is separated from the pulse signal by identifying and eliminating the specific interference components, achieving motion artifact reduction without requiring complex multi-sensor systems or large amounts of training data
Solution Approach 2:
The patent introduces an adaptive filter as an intermediary component between the PPG signal acquisition and heart rate estimation. This filter acts as a mediator that processes the raw signal in real-time, removing motion artifacts while preserving the physiological information needed for accurate heart rate measurement
2Reliability
If existing filtering methods are applied, then motion interference is reduced, but real-time processing capability is lost due to post-processing only approach
Solution Approach 1:
The patent performs motion artifact filtering as a preliminary action during signal acquisition rather than as a post-processing step. The adaptive filter operates in real-time on the incoming PPG signal, removing motion artifacts before heart rate estimation is performed, thus enabling both real-time processing and high signal quality
Solution Approach 2:
The patent replaces complex mechanical multi-sensor systems with a simplified signal processing approach using adaptive filtering. Instead of using multiple PPG sensors and complex hardware configurations, the invention uses computational methods to achieve the same motion artifact reduction effect with a single sensor and real-time processing
3Measurement precision
If multiple PPG sensors are used to reduce motion artifact, then measurement accuracy improves, but device complexity and cost increase
Solution Approach 1:
The patent creates a computational model or reference signal that represents the motion artifact component. Instead of using multiple physical sensors to capture different aspects of the signal, the invention uses adaptive filtering to create and remove a copy of the motion artifact based on the relationship between acceleration data and PPG signal variations
Solution Approach 2:
The patent changes the approach from hardware-based multi-sensor solutions to software-based adaptive filtering with varying filter parameters. The filter adapts its parameters in real-time based on the characteristics of the incoming signal and acceleration data, achieving high measurement precision with a single sensor by dynamically adjusting processing parameters
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 and reliability of heart rate measurements by effectively filtering motion interference in real-time without extensive data or multiple sensors, simplifying calculations, and improving the signal-to-noise ratio.
Implementation Method 1
The photoplethysmography (PPG) signal is mostly used for heart rate (HR) monitoring and is a key technology for many existing wearable products and clinical devices. In order to obtain this signal, LEDs are used to illuminate the human skin, and then a photodiode is used to measure the change in the intensity of reflected light caused by a blood flow.
Implementation Method 2
preprocessing the acquired pulse signal; and adaptively filtering the preprocessed pulse signal based on acceleration data of the target human body acquired in real time
Implementation Method 3
a method that introduces motion information of a motion sensor as a noise signal source
Data Source
Figure 1~2A
Figure 2B~3B
Figure 3C~4
AI summary
The present disclosure provides a method, an apparatus and a system for filtering pulse signal motion interference. The method comprises: irradiating a skin of a target human body in motion with a green light source in real time, so as to acquire a corresponding pulse signal from the target human body in real time; preprocessing the acquired pulse signal; and adaptively filtering the preprocessed pulse signal based on acceleration data of the target human body acquired in real time, so as to filter out a motion artifact interference of the pulse signal. The present disclosure can effectively improve the accuracy and effectiveness of filtering the pulse signal motion interference of a person in motion without a large amount of data, with a simple calculation process and without a plurality of PPG sensors, and can effectively improve the real-time performance for filtering the pulse signal motion interference, thereby greatly improving the accuracy and reliability of the heart rate measurement performed based on the pulse signal with the motion interference filtered out.