find_peaks {wearables}

Function to find peaks of an EDA datafile

Description

This function finds the peaks of an EDA signal and adds basic properties to the datafile.

Usage

find_peaks(
  data,
  offset = 1,
  start_WT = 4,
  end_WT = 4,
  thres = 0.005,
  sample_rate = getOption("SAMPLE_RATE", 8)
)

Arguments

data

DataFrame with EDA as one of the columns and indexed by a datetimeIndex

offset

the number of rising seconds and falling seconds after a peak needed to be counted as a peak

start_WT

maximum number of seconds before the apex of a peak that is the "start" of the peak

end_WT

maximum number of seconds after the apex of a peak that is the "end" of the peak 50 percent of amp

thres

the minimum microsecond change required to register as a peak, defaults as .005

sample_rate

number of samples per second, default=8

Details

Also, peak_end is assumed to be no later than the start of the next peak. Is that OK?

Value

data frame with several columns peaks 1 if apex peak_start 1 if start of peak peak_end 1 if end of preak peak_start_times if apex then corresponding start timestamp peak_end_times if apex then corresponding end timestamp half_rise if sharp decaying apex then time to halfway point in rise amp if apex then value of EDA at apex - value of EDA at start max_deriv if apex then max derivative within 1 second of apex rise_time if apex then time from start to apex decay_time if sharp decaying apex then time from apex to end SCR_width if sharp decaying apex then time from half rise to end