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In fit_peaks(), the moving average values to test list (ma_perc_list) starts at 5 %. Signals with high DC values related to the AC component (e.g. some PPG signals) add a high value to test so that the starting 5% leads to moving average values higher than any of the peaks of the signal.
Please, consider add fine grained values to the ma_perc_list: 0, 1, 2, 3, 4 %. Otherwise it does not work.
The text was updated successfully, but these errors were encountered:
@paulvangentcom that's one of the reasons I can't use Hearpy package as a built-in module, so I had to clone the project. If you add ma_perc_list as a parameter to the function (which I did already), it would be much more beneficial. Currently I had to divide the original ma_perc_list by 10 to let rolling mean find the peaks in our device(s).
In
fit_peaks()
, the moving average values to test list (ma_perc_list
) starts at 5 %. Signals with high DC values related to the AC component (e.g. some PPG signals) add a high value to test so that the starting 5% leads to moving average values higher than any of the peaks of the signal.Please, consider add fine grained values to the
ma_perc_list
: 0, 1, 2, 3, 4 %. Otherwise it does not work.The text was updated successfully, but these errors were encountered: