Asionnn / RRFilter_python

RRFilter_python

Python Version Used

• 3.7

Important Python libraries used

• Heartpy
• hrvanalysis

Implementation

• A .data file containting nanosensor data is imported and extracted
• The data is passed through a butter-bandpass filter with sampling rate at 500, lowcut at 0.4 hz, highcut at 2 hz, and order at 3
• The data is passed through an 3 times outlier rejection formula from this source
• The data is passed into Heartpy, which calculates the RR intervals
• The intervals data are passed through the methods defined in hrvanalysis
• Finally, the filtered intervals are written to a user defined location.

Questions?

• contact me at [e-mail] if you have any questions