![Signal Acquisition [OpenSignals]](https://plux.info/1120-large_default/load-acquired-data-from-txt-file.jpg "Signal Acquisition [OpenSignals]")
![Signal Acquisition [OpenSignals]](https://plux.info/1120-thickbox_default/load-acquired-data-from-txt-file.jpg "Signal Acquisition [OpenSignals]")
NB-DA-07
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
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.
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![Signal Acquisition [OpenSignals]](https://plux.info/1114-home_default/store-files-after-acquisition-opensignals-.jpg "Signal Acquisition [OpenSignals]")
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.
![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.
![Signal Acquisition [OpenSignals]](https://plux.info/1116-home_default/store-files-after-acquisition-opensignals-.jpg "Signal Acquisition [OpenSignals]")
In the following steps it will be demonstrated how the sampling rate choice affect signal morphology.