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 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.
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.
Introductory journey through OpenSignals, explaining/demonstrating how signals can be acquired in real-time.