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  2. Electroencephalography - Wikipedia

    en.wikipedia.org/wiki/Electroencephalography

    In analog EEG, the signal is then filtered (next paragraph), and the EEG signal is output as the deflection of pens as paper passes underneath. Most EEG systems these days, however, are digital, and the amplified signal is digitized via an analog-to-digital converter, after being passed through an anti-aliasing filter. Analog-to-digital ...

  3. Hjorth parameters - Wikipedia

    en.wikipedia.org/wiki/Hjorth_parameters

    This parameter is proportional to a standard deviation of the power spectrum. It is an estimate of the mean frequency. Complexity gives an estimate of the bandwidth of the signal, which indicates the similarity of the shape of the signal to a pure sine wave. Since the calculation of the Hjorth parameters is based on variance, the computational ...

  4. 10–20 system (EEG) - Wikipedia

    en.wikipedia.org/wiki/10–20_system_(EEG)

    EEG electrode positions in the 10-10 system using modified combinatorial nomenclature, along with the fiducials and associated lobes of the brain. When recording a more detailed EEG with more electrodes, extra electrodes are added using the 10% division , which fills in intermediate sites halfway between those of the existing 10–20 system.

  5. Electrogram - Wikipedia

    en.wikipedia.org/wiki/Electrogram

    The typical meaning of an "ECG" is the 12-lead ECG that uses 10 wires or electrodes to record the signal across the chest. Interpretation of an ECG is the basis of a number of cardiac diseases including myocardial infarction (heart attack) and arrhythmias such as atrial fibrillation .

  6. EEG analysis - Wikipedia

    en.wikipedia.org/wiki/EEG_analysis

    Among all the spectral methods, power spectral analysis is the most commonly used, since the power spectrum reflects the 'frequency content' of the signal or the distribution of signal power over frequency. [4] This technique can be used to investigate the energy changes of different frequency components in EEG signals during EEG analysis.

  7. High-frequency oscillations - Wikipedia

    en.wikipedia.org/wiki/High-frequency_oscillations

    Traditional classification of the frequency bands, that are associated to different functions/states of the brain and consist of delta, theta, alpha, beta and gamma bands. . Due to the limited capabilities of the early experimental/medical setup to record fast frequencies, for historical reason, all oscillations above 30 Hz were considered as high frequency and were difficult to investigate.

  8. Neural oscillation - Wikipedia

    en.wikipedia.org/wiki/Neural_oscillation

    In general, EEG signals have a broad spectral content similar to pink noise, but also reveal oscillatory activity in specific frequency bands. The first discovered and best-known frequency band is alpha activity (8–12 Hz ) [ 11 ] [ 12 ] [ 13 ] that can be detected from the occipital lobe during relaxed wakefulness and which increases when the ...

  9. N400 (neuroscience) - Wikipedia

    en.wikipedia.org/wiki/N400_(neuroscience)

    The frequency of a word's usage is known to affect the amplitude of the N400. With all else being constant, highly frequent words elicit reduced N400s relative to infrequent words. [ 11 ] As previously mentioned, N400 amplitude is also reduced by repetition, such that a word's second presentation exhibits a more positive response when repeated ...