31 research outputs found
clean trip
clean tripunsuccessful sealing voyage.DNE-cit G. M. Story MAR 1974 JH MAR 1974Not usedNot usedWithdrawnChecked by Jordyn Hughes on Tue 19 Jul 2016, stamped but not use
Statistical characteristics of the simulated 1,000 data sets (SD = standard deviation).
<p>Statistical characteristics of the simulated 1,000 data sets (SD = standard deviation).</p
HMM-decoding using the Viterbi algorithm to extract the most likely sequence of physical activity.
<p>HMM-decoding using the Viterbi algorithm to extract the most likely sequence of physical activity.</p
Modeling of accelerometer counts using HMMs.
<p>The figure shows the three activity ranges LIG, MOD, VIG, separated by the cutpoints at 420 counts and 842 counts. The accelerometer counts scatter around four different activity states (“watching TV”, “walking”, “running” and “playing basketball”) following a state dependent distribution with and fictitious PA-levels respectively.</p
Misclassification rate, number of identified bouts and identified activities for the traditional cutpoint method and the HMM-based method with different state-dependent observation distributions (SD = standard deviation).
<p>Misclassification rate, number of identified bouts and identified activities for the traditional cutpoint method and the HMM-based method with different state-dependent observation distributions (SD = standard deviation).</p
Sources of variation in foot strike angle (FSA).
<p>a) Regression of speed versus FSA; b) regression of measured step frequency versus FSA; c) regression of preferred stride frequency versus FSA; d) Box (standard error) and whisker (standard deviation) plot of difference in FSA on hard versus soft tracks for habitually barefoot and shod individuals (more positive values indicate more dorsiflexed FSA on soft surface; more negative values indicate more plantar flexed FSA on soft surface); x marks indicate maximum and minimum values.</p
Levene's Test of unequal variance for nominal comparisons of foot strike angle (FSA).
<p>Levene's Test of unequal variance for nominal comparisons of foot strike angle (FSA).</p
Variation in foot strike angle (FSA).
<p>Every FSA measured for every participant, noting which are forefoot (FFS), midfoot (MFS) and rearfoot (RFS) strikes. Note the greater degree of variability in the habitually barefoot individuals.</p
GLMM analysis of variation in foot strike angle (FSA) relative to continuously distributed predictor variables.
<p>GLMM analysis of variation in foot strike angle (FSA) relative to continuously distributed predictor variables.</p
Standardized estimates of direct and indirect effects and corresponding p-values obtained from path analyses for the associations among systolic/diastolic blood pressure z-score, BMI z-score, the FA and D5D index and the SNP rs174546.
<p>Standardized estimates of direct and indirect effects and corresponding p-values obtained from path analyses for the associations among systolic/diastolic blood pressure z-score, BMI z-score, the FA and D5D index and the SNP rs174546.</p