Comments (4)
Hi Mark,
Thanks for reaching out. My reply will be brief as I broke my hand. Not much typing now.
Usually in these devices you get the BPM for the last period (say: last 10 peaks or last 30 seconds). Heart rate speeds up and slows down considerably with each breath. This is the main reason you don't want to compute BPM based on 1 peak-peak interval.
The best way to go here is to implement a circular buffer, and every time interval (say 1 sec) you run HeartPy over the buffer. This will give you the BPM of the time interval equal to the buffer size. This way you can update your parameters as frequently as you like, while still having enough time-series data to compute something meaningful.
In the movie you linked they seem to do a similar thing, BPM updates every few seconds.
If you need pointers I'd be happy to whip up some example code. Let me know.
Cheers,
Paul
from heartrate_analysis_python.
I'll look into the segment_plotter. Thanks for raising that.
from heartrate_analysis_python.
the segment plotter issue has been fixed in 9adb10d, be sure to uninstall heartpy then update.
from heartrate_analysis_python.
Closing this due to inactivity. Feel free to re-open if you need further assistance.
Cheers,
Paul
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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