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Hi Sanjhosh, Lindsey may have a better answer, but if you just need to manually remove a single capsule from the condition, what I would do is create a custom condition, call it the subtraction condition, selecting only the capsule you don't want included in your final condition. Then I would use a composite condition with the 'a minus b' option to return capsules from your original condition minus the capsules in your subtraction condition. For example, if I had the below and wanted to remove the circled capsule: I would click on that capsule then open the custom condition tool: Then create the composite condition with that capsule removed:

Hi Sanjhosh- @Pauly Russ 's post is a great suggestion. Simply create a Custom Condition to identify the capsules to remove and then use the Minus logic in Composite Condition to remove these capsules from the original condition. I discussed this use case with other members of the team, and the following method was also suggested: 1. Clean & smooth the signal. This can be done using a combination of different operators in Formula. Try using the .agileFilter() operator to smooth the signal and remove high frequency noise. The .removeOutliers() function may be useful for removing the random spikes in the data. 2. Take the derivative of the signal Once the signal is cleansed, apply either the .derivative() or .runningDelta() function in formula. This will allow you to see when the large, downward spikes occur. Hopefully there is a clear different in the magnitude of the 'downtime' spikes relative to the magnitude of the 'mid-run' spikes. 3. Identify the downtime periods Use the Value Search on the derivative or running delta signal to identify the periods of downtime. With this method. some iteration will likely be required as you work to cleanse the signal and use the Value Search tool to identify downtime. Lindsey