Radar Physiological Detection via Zero-Crossing Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional non-contact methods for detecting physiological characteristics, such as respiration and heart rate, face limitations due to computational complexity and time-consuming Fourier transform processes, which result in inaccurate frequency resolution and increased error in detecting physiological frequencies.
Innovation Solution
A non-contact method using radar signals that transmits and processes reflected signals through an optimized algorithm to converge wave energy, allowing for accurate detection and tracking of physiological characteristics without converting the signal to the frequency domain, thereby reducing calculation complexity and improving operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Fourier transform is performed on the reflected signal to obtain physiological characteristics, then the physiological frequency can be extracted, but the frequency resolution is limited and detection accuracy deteriorates
Solution Approach 1:
The patent changes the detection parameter from frequency domain (Fourier transform) to time domain (zero-crossing detection). By detecting the zero-crossing points of the reflected signal and calculating the time interval between consecutive zero-crossings, the system obtains physiological frequency without being constrained by frequency resolution limits, thereby improving detection accuracy
Solution Approach 2:
The patent replaces the conventional Fourier transform mathematical processing method with a simplified time-domain zero-crossing detection method. This substitution eliminates the need for complex frequency domain transformation and resolves the contradiction between frequency resolution and detection accuracy
2Measurement precision
If Fourier transform is performed on the reflected signal, then physiological characteristics can be obtained, but computational complexity and processing time increase
Solution Approach 1:
The patent extracts only the essential feature (zero-crossing points) from the reflected signal and uses this extracted information to calculate physiological characteristics. By taking out only the necessary zero-crossing moments and ignoring other signal components, the system simplifies processing while maintaining detection accuracy
Solution Approach 2:
The patent substitutes the complex Fourier transform algorithm with a simple time-domain zero-crossing counting method, dramatically reducing computational complexity and processing time while still achieving accurate physiological characteristic detection
3Measurement precision
If conventional Fourier transform method is used, then physiological frequency can be calculated, but detection time is extended due to computational complexity
Solution Approach 1:
The patent replaces the time-consuming Fourier transform process with an immediate zero-crossing detection and time interval calculation method, significantly reducing signal processing time while maintaining measurement precision
Solution Approach 2:
The patent skips the intermediate frequency domain transformation step and directly calculates physiological frequency from time-domain zero-crossing points, rushing through the processing to achieve faster results without sacrificing 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
This method enables precise detection and tracking of multiple physiological characteristics in real-time, reducing errors and improving accuracy by bypassing the limitations of frequency resolution, while also simplifying the computational process.
Implementation Method 1
transmitting a radar signal to at least one detected object through radar to obtain a reflected signal
Data Source
AI summary
A non-contact method of physiological characteristic detection is provided to reduce the time consumption and complexity in calculation. The method includes transmitting a radar signal to at least one detected object through radar to obtain a reflected signal lasting for at least one time session, setting an estimated frequency for each of the at least one time session, obtaining a wave energy corresponding to the estimated frequency, and converging the wave energy with respect to the reflected signal through an optimized algorithm to obtain a physiological characteristic of the at least one detected object.