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Thanks for the wonderful Python library!
I am using AFE4404 + SFH7060 to record the raw PPG signals. I am using it to determine the HRV metrics. But whenever there is a movement with respect to hands, then I am missing heartbeat peaks. My processing pipeline is shown below,
Raw data --> Moving average --> Band pass filter (0.4 to 5 Hz) --> hp.process (band_passed_signal, sampling_rate=50) --> RR interval
Is there any way to improve the signal quality so that we get still better HRV metrics.
It would be nice if you could include the feature of Adaptive filters using acceleration data as reference signals.
The text was updated successfully, but these errors were encountered:
Hello @paulvangentcom this is a really good algo thanks for sharing. If you are stil looking for the data file here is the one data file collected from HR3300 sensor https://www.file.io/download/LWaP6jFsd40A The file is in binary the HR3300 to save space as the memory on Pinetime watch running wasp-os it is only 64KB RAM and 512KB Flash. IF you looking for CSV file here is the link for that one as well https://file.io/DmeiBIX1jGJg NOTICE the file contains 5 digit frequency reading whereas the data log contains only 3 digits Can you please explain how you get 3 digits https://www.convertworld.com/en/frequency/hertz/hz-to-bpm.html
Hi,
Thanks for the wonderful Python library!
I am using AFE4404 + SFH7060 to record the raw PPG signals. I am using it to determine the HRV metrics. But whenever there is a movement with respect to hands, then I am missing heartbeat peaks. My processing pipeline is shown below,
Raw data --> Moving average --> Band pass filter (0.4 to 5 Hz) --> hp.process (band_passed_signal, sampling_rate=50) --> RR interval
The text was updated successfully, but these errors were encountered: