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![Signal Acquisition [OpenSignals]](https://plux.info/1116-large_default/store-files-after-acquisition-opensignals-.jpg "Signal Acquisition [OpenSignals]")
![Signal Acquisition [OpenSignals]](https://plux.info/1116-thickbox_default/store-files-after-acquisition-opensignals-.jpg "Signal Acquisition [OpenSignals]")
NB-DA-03
In the following steps it will be demonstrated how the sampling rate choice affect signal morphology.
Problems of low sampling rate (aliasing)
In the following steps it will be demonstrated how the sampling rate choice affect signal morphology.
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![Signal Acquisition [OpenSignals]](https://plux.info/1120-home_default/load-acquired-data-from-txt-file.jpg "Signal Acquisition [OpenSignals]")
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.
![Signal Acquisition [OpenSignals]](https://plux.info/1119-home_default/load-signals-after-acquisition-opensignals.jpg "Signal Acquisition [OpenSignals]")
In the current Jupyter Notebook we continue the interaction with OpenSignals , demonstrating how the previously acquired/stored files can be loaded.
![Signal Acquisition [OpenSignals]](https://plux.info/1117-home_default/resolution-smooth-abrupt-variations.jpg "Signal Acquisition [OpenSignals]")
The importance of choosing a proper sampling frequency, resolution is another parameter that must be configured prior to acquisition.
![Signal Acquisition [OpenSignals]](https://plux.info/1121-home_default/signal-loading-working-with-file-header.jpg "Signal Acquisition [OpenSignals]")
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.