Validation of automatic wear-time detection algorithms in a free-living setting of wrist-worn and hip-worn ActiGraph GT3X+
Abstract Background Wrist-worn accelerometers are increasingly used in epidemiological studies to record physical activity. The accelerometer data are usually only analyzed if the convention for compliant wear time is met (i.e. ≥ 10 h per day) but the algorithms to detect wear time have been develop...
Saved in:
Main Authors: | Raphael Knaier (Author), Christoph Höchsmann (Author), Denis Infanger (Author), Timo Hinrichs (Author), Arno Schmidt-Trucksäss (Author) |
---|---|
Format: | Book |
Published: |
BMC,
2019-02-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Accuracy of the energy expenditure during uphill exercise measured by the Waist-worn ActiGraph
by: Chun-Hao Chang, et al.
Published: (2019) -
Segmented sedentary time and physical activity patterns throughout the week from wrist-worn ActiGraph GT3X+ accelerometers among children 7-12 years old
by: Gillian McLellan, et al.
Published: (2020) -
Comparison between ActiGraph GT3X and ActivPAL to assess sedentary behavior during the school period
by: Luciana Leite Silva Barboza, et al.
Published: (2022) -
Accuracy of steps measured by smartphones-based WeRun compared with ActiGraph-GT3X accelerometer in free-living conditions
by: Qinqin Yao, et al.
Published: (2022) -
Agreement between activPAL and ActiGraph for assessing children's sedentary time
by: Ridgers Nicola D, et al.
Published: (2012)