Pulsimeter Data Replication for FFT Resolution and Speed
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Solution Overview
Problem
Existing pulse meters face challenges in accurately calculating pulse rates due to the need for a large number of sampling data points, which prolongs measurement time and can be affected by non-pulse signal components when supplementing data with '0' values for Fourier transform processing.
Innovation Solution
A pulsimeter that includes a replication unit to generate additional sampling data by replicating existing data, allowing for frequency analysis with a required sample number without sacrificing resolution or measurement range, thereby shortening measurement time and reducing the impact of non-pulse signal components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of input data pieces is increased to improve frequency analysis resolution and extend measurement range, then measurement precision is improved, but measurement time increases
Solution Approach 1:
The patent applies the copying principle by replicating acquired pulse wave data to generate additional data points. When the number of acquired samples reaches a threshold n, the system creates m-n additional samples by copying and processing the acquired data, enabling frequency analysis with sufficient data points without waiting for natural acquisition over extended periods. This allows the system to achieve the required measurement precision while significantly reducing measurement time.
2Productivity
If data is supplemented with '0' values to reach the required sample number for FFT processing, then productivity is improved, but measurement precision deteriorates due to signal component interference
Solution Approach 1:
Instead of supplementing with zero values, the patent copies the actually acquired pulse wave data to generate additional samples. This approach maintains the authenticity of the signal components while reaching the required sample number for FFT processing, thereby improving processing speed without compromising pulse rate measurement accuracy.
Solution Approach 2:
The patent performs preliminary processing on the acquired data by calculating a center value and using this information to guide the data replication process. This preliminary action ensures that the replicated data maintains consistency with the actual pulse wave characteristics, preventing the introduction of erroneous signal components that would occur with zero-value supplementation.
3Loss of time
If data is supplemented with '0' values to reach the required sample number, then measurement time is shortened, but measurement precision deteriorates
Solution Approach 1:
The patent resolves this contradiction by copying actual pulse wave data rather than using zero values. This enables the system to reach the required sample number quickly and output the pulse rate without unnecessary delay, while simultaneously maintaining measurement precision because the copied data reflects actual physiological signals rather than artificial zero values.
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 enables faster and more accurate pulse rate calculations by replicating data to achieve the necessary sample number for frequency analysis, preventing resolution deterioration and range reduction, while minimizing the effect of non-pulse signal components.
Implementation Method 1
a pulse sensor including a light emitting device, such as an LED (light emitting diode), and a photodetector, such as a phototransistor or a photodiode
Data Source
AI summary
An object of the invention is to shorten a measurement time while preventing deterioration in resolution during frequency analysis and preventing a reduction in measurement range. A pulsimeter (1) includes a pulse data acquisition unit (100), a replication unit (16), and a frequency analysis unit (17). The replication unit (16) generates, when the number of pieces of acquired sampling data for a pulse rate calculation reaches n, m pieces of sampling data using the n pieces of sampling data and data obtained by replicating n-th sampling data. The frequency analysis unit (17) performs a frequency analysis on the m pieces of sampling data.