First graph you can see that there is an event in the middle and it goes back to normal, second and third there is some event at a certain point. Any of them can happen per session(= when I turn the device there will be 1 behavior)
I have to find real time when the event begin and ends, and it has to be FAST.
- All maximums in all 3 graphs are more or less the same (with 2% diff)
- I don't know the values before hand but I can calibrate the "no event" state.
- I need 1 algorithm to all of them.
I can do all sorts of basic stuff with averages and LPF, but I guess there is more clever and generic way to do so (?)
Something that can cover all cases and do what my eyes do - I can just tell where is the event.