Exercise Vital-Sign Radar Beamforming for Motion Interference
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Solution Overview
Problem
Wearable or direct-contact vital sign measurement devices are uncomfortable for long-term use and prone to measurement inaccuracies due to body shaking during exercise.
Innovation Solution
A data pre-processing method involving beamforming scanning, energy distribution parameter sets, and machine learning models to filter noise and extract target phase data for accurate vital sign detection using an exercise vital sign detection radar.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wearable or direct-contact measurement devices are used for vital sign monitoring, then measurement can be performed during activities of daily living, but the subject feels uncomfortable during long-term use
Solution Approach 1:
The patent replaces mechanical contact-based measurement devices with a radar-based non-contact measurement system. The radar device uses electromagnetic waves to detect vital signs without physical contact, eliminating the discomfort associated with wearing sensors while maintaining measurement capability during daily activities and exercise.
2Ease of operation
If non-contact measurement methods are used, then comfort during long-term use is improved, but body shaking during exercise interferes with measurement accuracy
Solution Approach 1:
The patent segments the received radar signal into multiple components and applies different processing methods to each. The signal is divided into a first signal component and a second signal component, with the second component being specifically processed to remove exercise-induced shaking interference before extracting vital sign information, thereby maintaining measurement accuracy during exercise.
Solution Approach 2:
The patent changes the parameter representation of the signal by extracting phase information and converting it to frequency domain through Fourier transform. This parameter transformation allows the system to distinguish between motion caused by exercise and motion caused by vital signs, enabling accurate measurement despite body shaking.
3Measurement precision
If signal processing is performed to remove exercise interference, then measurement accuracy is improved, but calculation complexity increases
Solution Approach 1:
The patent extracts and removes the specific interference component caused by exercise from the total signal. By identifying and separating the exercise-induced motion component from the vital sign component, the system reduces calculation complexity compared to processing the entire signal, while maintaining measurement accuracy.
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
Enables accurate detection of vital signs and exercise intensity with improved signal-to-noise ratio, reduced noise interference, and reduced calculation complexity.
Implementation Method 1
a transmitting unit, configured to transmit an incident radar signal; and a receiving unit, configured to receive a reflected radar signal
Implementation Method 2
control the transmitting unit and the receiving unit to perform beamforming scanning to obtain an energy distribution parameter set
Data Source
AI summary
A data pre-processing method is provided. By using an energy distribution parameter set obtained through beamforming scanning, a signal-to-noise ratio of a signal can be improved and a detection range region can be automatically generated, thereby improving an object tracking effect. An exercise vital sign detection radar is also provided.