I would like to make realtime arrhythmia classification system

[Wilbur0912]

I use ad8232 as device for get ecg signal

Here is my question

1. Is all leads of ecg can be fed into that model to do prediction?
2. The author turned ecg signal into 2d image and augmented it, this seems like he is talking about the former step of trainning phase, but does my signal which fed into the model to do prediction will be also transformed in 2d and augmented?
3. Does my signal has to be denoised, because the article said signal don't have to be denoised if using 2d convolutional model to predict it
4. The data generate from ad8232 is from 0 to 1024, but its sample data is from -1 < x < 1, If my data is usually between 300 < x < 700, can I process my data like this (x - 500)/1000, make it between -1 < x < 1. Is my method reasonable?