In this Jupyter Notebook it will be explained how to load/transpose the data inside .txt file to a Python list, which consists in a step that precedes all processing operations.
Load acquired data from .txt file
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In the current Jupyter Notebook it will be demonstrated how the user can store in a file the previously acquired signals.
In the current Jupyter Notebook we continue the interaction with OpenSignals , demonstrating how the previously acquired/stored files can be loaded.
It will be explained how to load/transpose the data inside .h5 file to a Python list, that can easily be manipulated in the processing operations.
The importance of choosing a proper sampling frequency, resolution is another parameter that must be configured prior to acquisition.