Segmenting an EEG data

1. What is segmentation in EEG?
2. How do you Analyse EEG data?
3. What is segmentation in signal processing?
4. How do you classify an EEG signal?

What is segmentation in EEG?

Segmentation refers to the subdivision of the EEG into different segments (epochs). Segmentation. can be based on a number of different criteria. In the Analyzer, the subdivision of data sets into segments. is taken into account in very many processing steps as well as for display purposes.

How do you Analyse EEG data?

There are two important methods for time domain EEG analysis: Linear Prediction and Component Analysis. Generally, Linear Prediction gives the estimated value equal to a linear combination of the past output value with the present and past input value.

What is segmentation in signal processing?

In many applications of the signal processing such as automatic analysis of EEG signal, it is needed that signal is split to smaller parts that each part has the same statistical characterizations such as the amplitude and frequency. This act has been called signal segmentation.

How do you classify an EEG signal?

The types of EEG waves[2,3] are identified according to their frequency range – delta: below 3.5 Hz (0.1–3.5 Hz), theta: 4–7.5 Hz, alpha: 8–13 Hz, beta: 14–40 Hz, and gamma: above 40 Hz. The EEG may show unusual electrical discharge when some abnormality occurs in the brain.