![Signal Acquisition [OpenSignals]](https://plux.info/1121-large_default/signal-loading-working-with-file-header.jpg "Signal Acquisition [OpenSignals]")
![Signal Acquisition [OpenSignals]](https://plux.info/1121-thickbox_default/signal-loading-working-with-file-header.jpg "Signal Acquisition [OpenSignals]")
NB-DA-08
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 Loading - Working with File Header
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.
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![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/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/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.