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When a template is loaded in ActiLife, the template will remain present even after closing and re-opening the software.
This ensures that the template settings remain unchanged even when a user’s computer is shut down and restarted. To
remove a template, click “Remove Template” from the file menu.
Dataset Analysis Overview
To improve the efficiency of our customers’ research and to reduce the time spent in post-data collection analysis, we
have included several Dataset Analysis tools in the full version of ActiLife5. These tools include the Wear Time
Validation tool which can be used to filter out datasets that do not meet patient wear criteria, Data Scoring which can
be used to examine energy expenditure, bouts, and more in a particular dataset, a Sleep Scoring tool which can be used
to analyze a patient’s sleep efficiency, and a Graphing tool which can be used to look at detailed epoch-by-epoch graphs
of a dataset.
Wear Time Validation
The Wear Time Validation tool serves two purposes. First, the tool can be used to exclude individual DAYS from dataset
Data Scoring (next step) that do not meet hourly and daily criteria. For instance, a researcher may place criteria on a
patient that requires them to maintain at least 10 minutes (consecutive or non-consecutive) activity per hour (non-zero
data) for at least 5 hours per day, the Wear Time Validation tool can automatically exclude these days from the dataset
so that those days do not count toward activity related calculations performed during Data Scoring. Second, the Wear
Time Validation tool can be used to identify entire datasets that do not meet a minimum total day requirement set by
the user. In our previous example, suppose the researcher wants to identify whether or not any of the datasets met the
daily requirements for at least 3 days total. The Wear Time Validation tool will highlight (in red) those datasets that do
not meet the 3 day minimum requirement (See Figure 37).
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