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Frequency analysis for EEG is a fundamental technique that unveils the distribution of different frequency components within the brain’s electrical activity. This analysis involves transforming EEG signals from the time domain to the frequency domain, typically using the Fast Fourier Transform (FFT) algorithm. This transformation allows us to observe the intensity and prevalence of specific frequency bands, such as delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), beta (13–30 Hz), and gamma (30–100 Hz) waves.

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Frequency Analysis

  • 章节

  • 发表日期：

    2026年

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  • Ildar Rakhmatulin,
  • Ganesh R. Naik

摘要

Frequency analysis for EEG is a fundamental technique that unveils the distribution of different frequency components within the brain’s electrical activity. This analysis involves transforming EEG signals from the time domain to the frequency domain, typically using the Fast Fourier Transform (FFT) algorithm. This transformation allows us to observe the intensity and prevalence of specific frequency bands, such as delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), beta (13–30 Hz), and gamma (30–100 Hz) waves.