What does epoch mean in EEG?

EEG epoching is a procedure in which specific time-windows are extracted from the continuous EEG signal. These time windows are called “epochs”, and usually are time-locked with respect an event e.g. a visual stimulus.

1. What does epoching data mean?
2. What is an epoch in signal processing?
3. How long is an EEG epoch?
4. What are events in EEG?

What does epoching data mean?

An epoch is when all the training data is used at once and is defined as the total number of iterations of all the training data in one cycle for training the machine learning model. Another way to define an epoch is the number of passes a training dataset takes around an algorithm.

What is an epoch in signal processing?

Epoch is defined as the closing instants of the glottis during speech production. The most prominent excitation occurs around these epochs. Due to the time varying characteristics of the speech signal, epoch extraction from speech signal is found to be a tedious work.

How long is an EEG epoch?

Typical EEG databases have 23.6 seconds epoch recorded at a sampling rate of 173 Hz.

What are events in EEG?

The EEG event structure contains records of the experimental events that occurred while the data was being recorded. To view the information for an event, use the Edit → Event values menu item (see the window below, which shows the tutorial dataset's events imported in the previous step).