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paulvangentcom avatar paulvangentcom commented on July 30, 2024

Hi Yurasmol,

Interesting. Can you provide the raw data files for me? I'll have a look.

Cheers,
Paul

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yurasmol avatar yurasmol commented on July 30, 2024

from heartrate_analysis_python.

paulvangentcom avatar paulvangentcom commented on July 30, 2024

Can you send the RAW.txt file to [email protected]? I cannot open it from here.

Cheers,
Paul

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paulvangentcom avatar paulvangentcom commented on July 30, 2024

Yes I see what's happening. It tries to minimize certain parameters globally. Usually a process that gives good results by default, except when a large enough portion of the signal is noisy like here. I will flag this since the current method needs to be refined and I need to allot some time for this soon.

For now a solution is to use the built-in peak enhancer enhance_peaks and butter_lowpass_filter filtering methods:

import heartpy as hp

data = hp.get_data('RAW.txt')
filtered = hp.butter_lowpass_filter(data, 5, 100.0, 3) #third order butterworth with cutoff @ 5Hz
filtered_and_scaled = hp.scale_data(filtered)

wd, measures = hp.process(filtered_and_scaled, 100.0, reject_segmentwise=True, calc_freq=True)

hp.plotter(wd, measures)

Yielding:
yurasmol_filtered

As mentioned it is a suboptimal solution that throws away a portion of the signal. I will close this issue and make it a point on the to-do to refine the methods.

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