Thanks for responding. I have not really tried your approach yet as I found a post that provided a solution that I was kind of looking for. This is the post URL: Replace Gaps in Data with an Average Value from Previous Time Frame - General Seeq Discussions - Seeq Community Website
To summarize the post, it's basically imputing on the missing gaps with the average value for X time period which is essentially what I'm looking for. However, when I tried replicating the solution and modifying the 10 min in order to make it a dynamic parameter for $conditionForDataGaps.move(-10min,0min), I'm getting an error as the dynamic parameter is basically the capsule duration which is a variable signal type.
$w - brown trend
$capsuleDuration - yellow trend
$gapCondition - pink capsules
green trend is the signal I'm determining where $gapCondition is at.
@Chris Orr recommended a transform for the move parameter but I'm not knowledgeable enough to implement that here.
I hope this clarifies my problem. Thanks!