g.weardec: Detects whether accelerometer is worn

In GGIR: Raw Accelerometer Data Analysis

Detects whether accelerometer is worn

Description

Uses the object produced by g.part1 to assess whether the accelerometer was worn

Usage

  g.weardec(M, wearthreshold, ws2, params_cleaning = NULL,
            desiredtz = "", qwindowImp = c())

Arguments

M	Object produced by g.getmeta
wearthreshold	Number of axis that at least need to meet the non-wear criteria
ws2	Large windowsize used in seconds to apply non-wear detection Small window size not needed, because this is inherent to the object M
params_cleaning	Parameters object with cleaning paramete, see GGIR.
desiredtz	See GGIR
qwindowImp	See g.impute

Value

• r1 Participant id extracted from file

• r2 Night number

• r3 Detected onset of sleep expressed as hours since the previous midnight

• LC fraction of 15 minute windows with more than 5 percent clipping

• LC2 fraction of 15 minute windows with more than 80 percent clipping

Author(s)

Vincent T van Hees <[e-mail]>

Examples

  data(data.getmeta)
  params_cleaning = load_params()$params_cleaning
  params_cleaning[["nonwearFilterWindow"]] = c(22, 7)
  output = g.weardec(M = data.getmeta, wearthreshold = 2, ws2 = 900,  
                      params_cleaning = params_cleaning,
                      desiredtz = "", qwindowImp = NULL)

GGIR documentation built on April 3, 2025, 6 p.m.