testing out travis

travis had weird data. i’m working on that.
Critical error is Save file

Noticed an error in the save out file where the units for the rr
intervals were not being save properly, they were being multiplied by
the rate twice. oops.

also, working on power. making some good headway on the interpolation.
power

not working ut very well for power. doesn’t look right at a ll
power plots work

power works. excellent.
power plot range?

why does the range only go to 2.0 hz? i want it all the way out to 4

#16683064947985
power update

I’m still not sure why 4.0hz is the interpolation frequency used in
like every example ever, but we’re going with it. along with gHRV’s
values for elf, elf, lf, and hf. unfortunately, i’m not sure how to get
standard error for these values, as i only have the resulting PSD
arrays to work with.

currently, i’m working on finding the area under the curve at these
ranges so I can report them.

#16683064947985
power

built and tidied functions for power. currently only runs RR intervals,
but can easily be modified to do ttot

#16683064947985
PSD plots and results

have ability to do plots and resu;ts. it is clear to me that we need to
be able to filter out outliers, since they are clearly making a mess of
the burst plots.

#16683064947985
Power saving

cleaned up power section. now saves out results and settings file.

#16683064947985
reorganization

moved some sections around so the power is part of the regular work
flow after graphs.
Graphing fix

Travis noticed that the graphs are not all uniformly set to the shifted
data set. it is now updated.

Also, changed a spelling error.
hist entropy

added modules for making a histogram of RR and Ttot arrays along with
the hist entropy from farina and irene.
seems to be running just fine. original code had a bin problem that i
solved with np.linspace()

#19647597849253
sample rate

changed it so that it is no longer a prompt, but a check of the time
series.

#19813319794940
power fft error

found an error in the fft for bursts. it was using index instead of
time to plot and interpolate, which threw off results.

it is now fixed. this seems to be the main cause of the sensitivity for
the ‘outlier’ problem. no actual smoothing or filtering has occurred.
#19813319794951
Merge branch 'working'