Comments (5)
calc_fd_measures() and calc_ts_measures() both take already detected peak-peak intervals as input values to compute their statistics from, so no sample rate is required anymore for the time-series measures, as they describe the variation between peaks.
For the frequency domain measures, which describe the peak-peak variation over time in the frequency domain, intervals are placed on a ms-based timeline and interpolated. Since the base unit of the intervals is ms, doing so results in a timeline with 1-ms increments: 1000Hz.
Hope this answers your question
Cheers,
Paul
Cheers
Paul
from heartrate_analysis_python.
Dear Paul:
Thanks so much for your explanation! I've noticed that you use the rr_list to be the pointer and then the sample rate should be 1000. So doesn't it mean the sample rate of the PPG signal will not influence the frequency domain result?
Thanks!
from heartrate_analysis_python.
Dear Paul:
Sorry for asking again. I see there's an input called square_spectrum in the function calc_fd_measures. The default is True, but this input is never used in the function. Could you please tell me what this for? And what this will influence the result?
Thanks so much!
from heartrate_analysis_python.
Dear Paul:
Thanks so much for your explanation! I've noticed that you use the rr_list to be the pointer and then the sample rate should be 1000. So doesn't it mean the sample rate of the PPG signal will not influence the frequency domain result?
Thanks!
The frequency measures are computed on peak-peak intervals, which have nothing to do with the original PPG signal sample rate.
from heartrate_analysis_python.
Dear Paul:
Sorry for asking again. I see there's an input called square_spectrum in the function calc_fd_measures. The default is True, but this input is never used in the function. Could you please tell me what this for? And what this will influence the result?
Thanks so much!
Indeed, it seems that did not move correctly to the new refactor. It is because in some cases you'd want to square the frequency spectrum. I'll put that in an issue and get on it, thanks.
from heartrate_analysis_python.
Related Issues (20)
- versioning doesn't match
- AttributeError: module 'HeartPy' has no attribute 'calc_fd_measures' HOT 1
- Why cutoff=0.05Hz in remove_baseline_wander()? HOT 2
- Peak detection fails for high DC levels HOT 2
- Input raw PPG data clarification in example 3
- Using plotter in Anaconda's JupyterLab gives non-GUI backend UserWarning
- questions abouts calc_fd_measures
- Identify abnormally elevated T waves as R waves HOT 1
- Calling hp.plotter(wd, m) in Jupyter Notebook gives UserWarning HOT 1
- return param 'best' in working_data is what?
- hampel_filter filtsize doesn't work as expected/intended.
- What "s" stand for? HOT 2
- customize frequency bands for frequency-based analysis? HOT 2
- PPG input file (array) what information or data ? HOT 3
- heart rate from six leads ecg
- issue with reject_segmentwise argument inside "hp.process" function
- TypeError: 'numpy.float64' object cannot be interpreted as an integer
- Docs Error in heartrateanalysis.rst HOT 1
- hp.plotter crashes HOT 3
- Process_segmentwise ignore_badsignalwarning=True causes an array size mismatch HOT 1
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