Software
© 2016 Pulsar Informatics, Inc.
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Raster
– twenty-four hour timelines stacked vertically, useful for viewing
day-by-day patterns
Timeline
– horizontal scrolling timeline, allowing zooming into detailed
timeline segments
Summary
– numeric sleep and activity statistics for the data set
Sleep scoring a worksheet classifies segments of time in which the subject was
Active, or In-Bed, and for the In-Bed intervals estimates the times the subject was
actually asleep. Scoring is performed as a two step process: 1) Run a sleep analysis
to classify each epoch as ACTIVE or INACTIVE, 2) Determine In-Bed intervals and
classify epochs within the In-Bed intervals as either Sleep or Wake
Sleep scoring step 1: Sleep analysis for Active/Inactive
epoch classification
In the top section of the Sleep Score Configuration panel, select one of the two
algorithms that are available as options for the sleep analysis: Sadeh
1
or Cole
2
. Both
generally apply a window function to the activity count values, then compare the
resulting values to a threshold to classify each epoch as Active or Inactive.
The Active/Inactive classification of each epoch is not shown immediately in the
Worksheet visualizer, but can be viewed in a CSV export.
Sleep scoring step 2: Identify In Bed Periods either
manually or automatically
The In-Bed period identification can be performed with a combination of automated
algorithms and/or manual edits. The second section in the Sleep Score Configuration
panel presents two options for identifying In-Bed periods: Manual or Auto-fill.
Selecting Auto-Fill triggers an in-bed detection algorithm to run over the entire
timeline, whereas Manual indicates that in-bed intervals have been manually edited
on the timeline. Once an In-Bed interval is created, the epochs within the In-Bed
interval are classified Wake/Sleep based on the Active/Inactive classification from
Step 1.
