In the following steps it will be demonstrated how the sampling rate choice affect signal morphology.
Problems of low sampling rate (aliasing)
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In the current Jupyter Notebook we continue the interaction with OpenSignals , demonstrating how the previously acquired/stored files can be loaded.
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.
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.
In the current Jupyter Notebook it will be demonstrated how the user can store in a file the previously acquired signals.