Dear Community,
I am measuring heart beats through a PPG signal in realtime. So far I processed the raw PPG with a bandpass filter in the range [0.4, 4] Hz. Then, a peak detection algorithm was applied. However, it is sensitive to different noise sources, leading to errors in the heart beat detection.
I though about another simple and robust method for heart beat detection, e.g. through correlation. The FFT is too computationally expensive for the ESP32 system, where we implement the algorithm.
Which robust algorithm do you recommend for heart beat detection?
Thanks, blessings!
Fernando
Is there also a way to measure the quality of the heart beat detection?
Dear Ijaz Durrani
:Thank you for your kind answer. Where can I find information stating that PPG is not as accurate as you say? I am curious and want to learn.
Besides, I want to thank you for the interesting paper you cited. The automatic gain control is an interesting section I have not considered so far. It also speaks about delineation, which I also have to learn about.
Thanks, regards from Brazil.
Thank you very much Ijaz Durrani
. Since the relevant signal contains a high DC and a much lower AC component, which method do you suggest for automatic gain control (AGC)? There are some papers talking about this, but they don't give enough details on HOW to implement it, e.g. the paper you cited in your first answer:https://www.analog.com/en/technical-articles/robust-beat-to-beat-detection-algorithm-for-pulse-rate-variability-analysis.html#
My PPG contains a good AC/DC ratio for some time intervals. In other intervals, the AC/DC ratio is poor. I used a bandpass filter for DC and high frequency noise removal, but it is not enough. I think an AGC would help me solve it.
Thanks!
Thank Ijaz Durrani
for your kind help.Warm regards,
Fernando
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