g.weardec: Detects whether accelerometer is worn

In PeteJWatson/ggircal: Raw Accelerometer Data Analysis

Description

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

Usage

g.weardec(M,wearthreshold,ws2)

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

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)
output = g.weardec(M=data.getmeta,wearthreshold=2,ws2=3600)

PeteJWatson/ggircal documentation built on Nov. 24, 2021, 11:14 a.m.