Heart Rate Signal Processing for Motion Artifact Removal
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing heart rate monitoring technologies face challenges in accurately separating heart rate signals from motion artifacts, leading to reduced signal quality and accuracy due to the coupling relationship between motion and heart rate signals.
Innovation Solution
A method and system that process heart rate signals by identifying and removing motion signals based on their superimposed frequencies with heart rate signals, using techniques such as filtering and frequency analysis, to isolate the target heart rate signal, thereby improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If signal processing processes are used to remove motion artifacts from heart rate signals, then signal quality is improved, but the coupling relationship between motion and heart rate signals reduces measurement precision
Solution Approach 1:
The patent segments the signal processing into distinct stages: motion artifact removal, frequency domain analysis, and target frequency signal extraction. By dividing the complex signal separation task into manageable segments, the system can address the coupling relationship between motion and heart rate signals systematically, improving both measurement precision and reliability through structured processing steps.
Solution Approach 2:
The patent introduces an intermediary frequency domain representation as a mediator between the time-domain signals. By transforming signals to the frequency domain and identifying target frequencies through spectral analysis, the system creates an intermediate representation that facilitates accurate separation of motion artifacts from heart rate signals, resolving the measurement precision issue while maintaining signal reliability.
2Measurement precision
If motion artifacts are removed from heart rate signals, then signal quality improves, but the coupling relationship between signals affects measurement precision
Solution Approach 1:
The patent converts the harmful coupling relationship between motion artifacts and heart rate signals into a beneficial feature by exploiting frequency domain characteristics. The motion artifact removal process identifies and eliminates specific frequency components that cause interference, transforming the problematic coupling relationship into a controlled frequency-based separation mechanism that improves signal quality while maintaining measurement precision.
Solution Approach 2:
The patent changes the parameter domain from time-domain to frequency-domain analysis. By transforming signals and analyzing their spectral characteristics, the system can identify and remove motion artifacts based on frequency differences. This parameter change enables precise separation of signals while maintaining the coupling relationship information needed for accurate heart rate measurement.
3Measurement precision
If frequency analysis is performed to identify target frequencies, then signal processing complexity increases, but measurement precision improves
Solution Approach 1:
The patent applies partial action by focusing frequency analysis only on specific frequency ranges and target frequencies rather than performing comprehensive spectral analysis across all frequencies. This selective approach reduces processing complexity while maintaining measurement precision for identifying the target heart rate signal, avoiding unnecessary computational overhead.
Solution Approach 2:
The patent performs preliminary action by pre-identifying target frequencies and preparing frequency domain representations before final signal extraction. This preliminary frequency analysis setup reduces the complexity of subsequent signal processing steps, as the target frequencies are already identified and isolated through preliminary spectral analysis.
Data Source
AI summary
The present disclosure provides a method, system, and readable medium for monitoring a heart rate. The method may include: obtaining a first signal, the first signal including a target heart rate signal in a motion state; obtaining a motion signal corresponding to the motion state; identifying a second signal with a target frequency from the first signal based on a motion frequency corresponding to the motion signal, the target frequency originating from a linear superposition of the motion frequency and a heart rate frequency corresponding to the target heart rate signal; and determining the target heart rate signal by processing, based on the motion signal and the second signal, the first signal.