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Here is a picture of the upper variables section and two rows of data (yours may not match exactly and that's OK but the numbers should match qhwn the data input is finished -- the formatting can differ): Select cell AG6 and enter Triangle x.
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A screening of various upper extremity variables was also performed with the static model.
Therefore, it's strongly recommend that researchers consider and report their realignment methods when assessing upper body variables during gait.
A selection of upper body variables sensitive to impaired upper body control in PD and four acceleration realignment methods were compared.
A mixed-model ANOVA showed that the choice of realignment method significantly affected the values of upper body variables as well as their ability to discriminate between the PD and control group.
Our findings indicate researchers and clinicians should be cautious when comparing upper body variables extracted from IMUs using different realignment methods, and consideration of realignment technique will be important when identifying the most sensitive markers of disease presence and progression.
Therefore, the aim of this investigation was to examine the impact of four different realignment methods designed to correct acceleration signals on a range of upper body variables in older adults and in patients with PD.
However, the growth pattern differed, especially with respect to maxillary and upper incisor variables.
This model will evaluate the effect of same level and upper level variables on the outcome leptospirosis, using three blocks.
The three cleft centers followed different treatment protocols, but the main differences in craniofacial morphology until 12 years of age were the growth pattern and the maxillary and upper incisor variables.
While our analysis suggests that spine length differences did not drive these sex effects, certain SEX × CONDITION interactions did near statistical significance (0.05 < P < 0.10) for ROM LU and %ROM LU (see Figure 5 – upper plots) variables.
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