What method is used to reformat digital EEG montages?

To understand why the method used to reformat digital EEG montages is related to system reference, it's important to grasp the role of referencing in EEG recording. In EEG, montages are the configurations used to arrange electrode placements and the way those signals are referenced to each other.

System reference typically involves a common reference point for all the electrodes, which allows for the aggregation and standardization of the data from multiple electrodes. By using a system reference, the digital EEG data can be reformatted to reflect important patterns and anomalies in brain activity, enhancing the analysis of the electrical signals gleaned from the scalp. This approach allows for a clearer interpretation of the signals, as the variations can be better understood with respect to a common baseline.

In contrast, while other methods like the Nyquist theorem and Fourier analysis are crucial for ensuring signal integrity and analyzing frequency components, they serve different purposes in the context of EEG data processing. The Nyquist theorem relates to sampling rates and preventing aliasing during the capture of analog signals, while Fourier analysis is a mathematical technique used to decompose signals into their constituent frequencies, but neither directly pertains to the reformatting of montages in digital EEG systems like a system reference does. Similarly, referentially recorded data refers to a