2D Dot Plot Signal Periodicity Detection for Low-Power Biomedical Devices
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Solution Overview
Problem
Existing methods for determining whether a signal is periodic are computationally intensive and inaccurate, especially when dealing with noisy biomedical signals, requiring significant computational power and time, which is not suitable for long-term, low-power devices used in biomedical measurements.
Innovation Solution
A method involving sampling a signal at a fixed time interval, generating a two-dimensional dot plot, calculating the degree of dispersion, and determining the relative relationship between the dispersion and the signal's periodic features to output a determination result, using a processing device with reduced computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If waveform analysis or Fourier transform is used to determine signal periodicity, then measurement precision is improved, but use of energy and device complexity increase significantly
Solution Approach 1:
The patent extracts only the essential feature needed for periodicity determination - the relationship between consecutive signal values - and represents it through simple 2D dot plots. This extraction avoids the need for complex waveform analysis or Fourier transforms, significantly reducing computational power consumption while maintaining determination accuracy.
Solution Approach 2:
The patent uses simple 2D dot plots as a disposable, computationally inexpensive representation method instead of requiring expensive, complex computational algorithms. Each dot plot can be quickly generated and discarded after determining periodicity, avoiding the need for sustained high-power processing.
2Measurement precision
If waveform analysis is used to determine signal periodicity, then measurement precision is improved, but productivity decreases due to computational intensity
Solution Approach 1:
The patent extracts only the essential consecutive value relationships needed for periodicity determination, representing them through simple 2D dot plots. This extraction eliminates the need for time-consuming waveform analysis or Fourier transforms, dramatically improving processing speed while maintaining accuracy.
Solution Approach 2:
The patent applies partial action by using only the minimal necessary information (consecutive signal value pairs) rather than analyzing the entire waveform in detail. This partial analysis approach achieves sufficient periodicity determination without the excessive computational effort of complete waveform or spectral analysis.
3Measurement precision
If complex computational methods are used for signal filtering, then measurement precision is improved, but device size increases
Solution Approach 1:
The patent extracts the essential periodicity information through simple 2D dot plots of consecutive signal values, avoiding the need for large computing devices required by complex Fourier transforms or waveform analysis. This extraction enables accurate signal filtering in compact wearable biomedical devices.
Solution Approach 2:
The patent replaces complex mechanical/computational systems (Fourier transforms, waveform analysis) with a simpler visual and computational approach using 2D dot plots. This substitution dramatically reduces the computational hardware requirements, enabling implementation in small, portable biomedical devices.
4Measurement precision
If waveform analysis is used to determine signal periodicity, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential consecutive value relationships for periodicity determination and represents them through simple 2D dot plots. This extraction dramatically simplifies the computational algorithm while maintaining determination accuracy, avoiding complex waveform analysis or Fourier transform implementations.
Solution Approach 2:
The patent creates a simplified copy or representation of the signal data in the form of 2D dot plots, which captures the essential periodicity information without requiring complex computational structures. This copying approach reduces algorithmic complexity while preserving measurement precision.
Data Source
AI summary
A method for determining whether a signal is periodic is provided and performed by a processing device. In the method, a signal S is sampled at a time interval t to obtain (k+1) signal values S(t0+i·t), wherein i=0˜k,A 2D dot plot on an XY plane is generated, wherein the coordinates (x, y) of each point in the two-dimensional dot plot are (SPPG (10+i·t), SPPG (t0+(1+1)·t), wherein i=0˜(k−1); The degree of dispersion of the 2D dot plot is calculated. The relative relationship between the degree of dispersion and a feature of a periodic signal is determined and a determination result is generated.