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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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.
In the current Jupyter Notebook a detailed procedure for accessing file metadata (.txt and .h5) is explained, together with a simplified approach through the use of a biosignalsnotebooks specialized function.
In the following steps it will be demonstrated how the sampling rate choice affect signal morphology.