detect_outliers: Function for outlier detection in physiological data

In neurorestore/Aima: Hemodynamic and sympathetic nervous system analyses

Description

Detect and remove outliers in physiological data.

Usage

detect_outliers(data, rate = 1000, bin_length = 10, variable = "SBP")

Arguments

data	a data frame containing only numeric columns to be cleaned.
rate	a numeric, the sampling rate of the data. Note if the data was downsampled out of LabChart the corrected sampling rate should be specified in frames per second. Default is 1000.
bin_length	the size of the binning window. Default is 10 seconds.
variable	the variable to use for outlier removal. Default is SBP.

Value

a cleaned data frame with outliers removed.

neurorestore/Aima documentation built on Dec. 22, 2021, 1:14 a.m.