- To generate a PPG signal using the SCF method, follow these steps:
- Acquire a raw PPG signal using a PPG sensor.
- Pre-process the PPG signal to remove noise and artifacts.
- Identify the peaks and valleys of the PPG signal
- Fit a symmetrical curve to the PPG signal using a mathematical function such as a Gaussian or Lorentzian function.
- Adjust the curve parameters to optimize the fit to the PPG signal.
- Use the fitted curve to generate a PPG signal that is free from noise and artifacts.
How to generate a PPG signal using symmetrical curve fitting method (SCF)? How is it different from Gaussian curve fitting?
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I am trying to generate a PPG signal which matches the morphologies of signals from TBME database using SCF method other than adding two Gaussian functions.
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Raghav
il 5 Apr 2023
Hi,
Based on your question, I understand that you want to know about generating PPG signal using SCF.
The symmetrical curve fitting (SCF) method is a technique used to generate a photoplethysmography (PPG) signal from a raw PPG signal. This method involves fitting a symmetrical curve to the PPG waveform, which can help to remove noise and other artifacts from the signal.
Compared to Gaussian curve fitting, the SCF method involves fitting a symmetrical curve to the PPG waveform rather than a Gaussian function. The main advantage of using a symmetrical curve is that it can better capture the shape of the PPG waveform, which may have different slopes on the rising and falling edges. In contrast, a Gaussian function assumes a symmetrical shape, which may not accurately represent the PPG waveform.
Overall, the SCF method can be an effective technique for generating a clean PPG signal from a raw signal, but it requires careful optimization of the curve parameters to ensure accurate fitting.
Hope it helps
Thanks,
Raghav Bansal
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