It might be. It could end up in that unfortunate area of “statistically significant but not clinically meaningful,” meaning it might do what it’s supposed to but not well enough to merit actually using it in the real world.

Thanks! I was kind of shooting in the dark on the size of the windows. I can try shortening but the sample rate is only one per minute, so I wanted to make sure there was enough signal for the model to extract useful data.

As for your second question, right now it’s not really possible for a human to predict that far out - there’s ECG instabilities that start to show up but usually only a few minutes before the event at most. My hypothesis was that subtle signals that might not be obvious to a human could be machine detectable, but it’s entirely possible that isn’t true.