applydlfilter
Description:
Apply happy’s deep learning filter to a noisy cardiac timecourse to get a high quality synthetic plethysmogram
Inputs:
A text file containing a noisy cardiac timecourse
Outputs:
A cleaned cardiac timecourse text file
Usage:
Apply a deep learning filter to a timecourse.
usage: applydlfilter [-h] [--model MODELROOT] [--filesarelists] [--nodisplay]
[--verbose]
infilename outfilename
Positional Arguments
- infilename
The name of the input text file (or a list of names of input files).
- outfilename
The name of the output text file (or a list of names of output files).
Named Arguments
- --model
Use model named MODELROOT (default is model_revised).
Default:
'model_revised'- --filesarelists
Input file contains lists of filenames, rather than data.
Default:
False- --nodisplay
Do not plot the data (for noninteractive use).
Default:
True- --verbose
Print a lot of internal information.
Default:
False