Hello,
I am currently interested in developing other types of AI algorithms using raw data from sensors, and I would like to be inspired by the treatment and cleaning of raw data in the BME AI-Studio software.
In the BME AI-Studio software, 10 types of data are displayed for each sensor. My question would be: what do these 10 different types of values correspond to for each sensor (I suppose they are the features extraction for each sensor) Could I have more information about it? What type of mathematical operation was applied? What type of filter? Noise treatment? ( Fig 1. raw data plotted of each sensor with Matlab, Fig 2. raw data from BME AI-Studio for sensor 1.)
Best regards,
