03-22-2022 03:23 PM
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,
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03-24-2022 03:56 AM
Hi jimi01blnc,
Currently you could use BME AI-Studio software, but for the algorithm, it is not officially public.