epochs: Split signals into consecutive, non-overlaping epochs...

In rsleep: Analysis of Sleep Data

Split signals into consecutive, non-overlaping epochs according to an events dataframe or an epoch duration.

Description

Split long signals into a list of consecutive epochs according to an events dataframe or an epoch duration.

Usage

epochs(
  signals,
  sRates,
  resample = max(sRates),
  epoch = 30,
  startTime = 0,
  padding = 0
)

Arguments

signals	A list of numeric vectors containing signals, or a single vector containing one signal.
sRates	A vector or list of integer values of the signals sample rates.
resample	The sample rate to resample all signals. Defaults to to the max of the provided sample rates.
epoch	Epochs reference. Can be an events dataframe or the number of seconds of each epoc Defaults to 30.
startTime	The start timestamp of the signal, used to join events to epoch.
padding	Number of previous and next epochs to pad the current epoch with. This functionnality is mostly used to enrich deep learning datasets. Defaults to 0.

Value

A list of signal chunks

Examples

epochs(list(rep(c(1,2,3,4),100),rep(c(5,6,7,8),100)),4,4,1,padding = 2)

rsleep documentation built on Nov. 6, 2023, 1:06 a.m.