Boxplots detailing the distribution of participants mean sleep measures, stratified by each sleep period detection method: participant’s sleep logs

Boxplots detailing the distribution of participants mean sleep measures, stratified by each sleep period detection method: participant’s sleep logs

<p>(SL), the Tudor-Locke algorithm with default parameters (TLD), and the Tudor-Locke algorithm with optimized parameters (TLO). [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0319348#pone.0319348.ref049" target="_blank">49</a>] Results o...

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Bibliographic Details
Main Author: Louis Faust (6807728) (author)
Other Authors: Emma Fortune (3880177) (author), Omid Jahanian (9617944) (author), Sey Oloyede (21001482) (author), Clifford Trouard (21001485) (author), Suzanne Dixon (21001488) (author), Erica Torres (17257564) (author), Chris Sletten (21001491) (author), Paul Scholten (21001494) (author)
Published: 2025
Subjects:
Medicine
Pharmacology
Biotechnology
Cancer
Infectious Diseases
Plant Biology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
statistically significant differences
default parameter sets
considered ground truth
>. 001 ).
participant &# 8217
sleep periods identified
chronic pain patients
algorithm &# 8217
sleep measures derived
worn accelerometer data
optimized parameter set
worn accelerometer
sleep measures
participant ’
accelerometry data
sleep logs
sleep diary
xlink ">
wake times
sensitivity analysis
populations beyond
optimized parameters
one week
nightly bedtimes
living observation
findings suggest
caution must
50 %.
16 patients
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