Technical aspects of EEG

Anteneh M Feyissa MD MSc (Dr. Feyissa of the Mayo Clinic Florida has no relevant financial relationships to disclose.)
Kirsten Yelvington REEGT CLTM (Ms. Yelvington of the Mayo Clinic Florida has no relevant financial relationships to disclose.)
William O Tatum IV DO FACNS (

Dr. Tatum of Mayo Clinic received consulting fees from Bioserenity..

John M Stern MD, editor. (

Dr. Stern, Director of the Epilepsy Clinical Program at the University of California in Los Angeles, received honorariums from Greenwish, Sunovion, and UCB as an advisor and from Greenwich, Eisai, LivaNova, and UCB as a lecturer.

Originally released January 11, 2018; last updated March 12, 2019; expires March 12, 2022

The electroencephalograph is an instrument for recording the electrical activity of the brain (electroencephalogram), by suitably placing surface electrodes on the scalp during standard recording.


The electroencephalogram (EEG) remains, as it has been since Berger made his first recording in the 1920s, a pivotal diagnostic clinical tool for assessing the brain’s electrophysiological activity. EEG is a graphic display of a difference in voltages from 2 sites of the brain function recorded over time. Due to the fact that surface electrodes are routinely recording EEG through the scalp, skull, and meninges, features of the cortical waveforms may be altered. To ensure the accuracy of the recording where very low amplitude electrophysiological potentials are encountered, the technical aspects of recording are important to understand and maintain. Adherence to the 10-20 international system of electrode placement, principals underlying instrumentation and electrical safety, standardized digital recording, and applying crucial recording concepts throughout the performance of the EEG are a few important technical requirements. Advances in technology have been many. However, the technical challenge of recording interpretable EEG with little or no artifact has remained the same (Tatum et al 2011). It is essential that the EEG be run by an experienced and knowledgeable technologist who is able to supervise the technical aspects of the recording from application of electrodes to storing and archiving the data. In this article, the authors discuss important technical aspects of EEG that may influence the quality of the recording and, as a result, impact the clinician application of EEG.

Key points


• EEG begins with the accurate measurement and placement of electrodes using the international 10-20 system. EEG instrumentation includes all of the components that connect the patient to the EEG machine. With each component of a recording system, there is potential to encounter interference or outside noise.


• The electrodes are not part of the EEG machine itself and reflect a separate connection subject to technical limitations. Silver-silver chloride and gold electrodes applied after debridement of the skin surface with an adhesive has been shown as the best electrical conduit (Sinha et al 2016). Interelectrode impedances up to 10 kOhms are acceptable, but optimal recording still requires impedances that are balanced (Kappenman and Luck 2010). New electrode technologies, including dry electrode cap models that don’t require gel, are being tested to reduce the delay for obtaining an EEG in acute neurologic settings and eliminate the need for trained EEG technologists to place the electrodes (Muraja-Murro et al 2015).


• The electrode pins are connected to the jackbox with site-specific locations reflecting the anatomical location of electrode placement on the head. The jackbox is connected via an insulated input cable that allows each electrode to be selected for montage arrangements either in pairs or in single configuration that is then amplified. The electrodes are then typically arranged in a left-over-right array and displayed by montages in a final arrangement for visual analysis (Acharya et al 2016).


• Amplifiers have the ability to increase sensitivity as well as filter the recording. The EEG machine has a low frequency filter and a high frequency filter as well as a notch (60 Hz) filter. Standard settings of 7 µV/mm sensitivity with 70 Hz high frequency filter and 1 Hz low frequency filter should be the initial settings of the EEG.


• Sampling rates are based on the Nyquist-Shannon theorem, and the minimum sampling rate should be at least 256 samples per second; however, 512 Hz is preferred to prevent aliasing on high-resolution screens (Chen et al 2013).


• The risks associated with performing an EEG are very low, but the potential for adverse electrical safety concerns exists when the ground is faulty and electricity may be passed through the patient. In addition, fire hazards represent a concern when high levels of oxygen are in use during function of the electrical machinery.

Historical note and terminology

The first known tracing in animals of fluctuating potentials that constitute the EEG was performed by Richard Caton, a scientist from Liverpool, England, in 1875 using a galvanometer (Stone and Hughes 2013). In 1924, Hans Berger, a German psychiatrist, performed the first EEG recording in humans using Siemens double-coil galvanometer and published his first report of a human 3-minunte EEG recording in 1929 recognizing the alpha rhythm. Berger was not able to observe the recording live; rather, he had to develop the paper similar to a photograph to see the recording (Collura 1993). Berger continued to make advances in his attempts to record EEGs as technology improved. His colleagues at the Institute of Brain Research in Berlin were able to make significant improvements in the quality of the EEG with the help of JF Tonnies who was an engineer at the institute. From the initial 1-channel EEG, Tonnies is credited with developing the first ink writing oscillograph, which he called the neurograph. He went on to develop the first differential amplifier as well as the concepts of impedance and volume conduction (Stone and Hughes 2013). In the late 1920s, electrical engineer, Harry Nyquist determined that the number of independent pulses that could be put through a telegraph transmitting the number of channels over a unit of time was limited when it was less than twice the bandwidth of the channel (Chen et al 2013). In the 1940s Shannon expanded on the Nyquist theorem and developed the Nyquist-Shannon sampling rate. Current sampling rates in digital equipment are based on the Nyquist-Shannon sampling theorem to prevent “aliasing” of the EEG data and false representation of the brain signal by lower frequencies than the actual waveform. Most proprietary systems now offer 512 Hz sampling rates as a result to ensure adequate representation of a wide range of frequencies in the EEG.

By the 1950s, EEG technology started to become invasive, and the use of invasive electrodes and the exploration of deep intracerebral regions began. In the 1980s, developments in data collection and analysis allowed the EEG to be digitalized and recorded on videotape. The first-generation commercial digital EEG systems were introduced in the 1990s (Stone and Hughes 2013). Over the years, computed networking enabled remote EEG reading and simultaneous video recording of patients, making prolonged and continuous EEG (cEEG) a reality (Ney et al 2013; Moura et al 2014). As manual review and interpretation of cEEG became increasingly labor-intensive, methods were developed to assist in rapid and accurate EEG interpretation. In the last two decades, complex algorithms enabling quantitative EEG analyses, such as wavelet analysis and Fourier analysis, were developed to improve display of the EEG signal. Automated spectral analysis was introduced to study spectral arrays using the Fast Forrier Transform to generate a spectrogram, a color plot providing the temporal dispersion of the EEG frequency spectrum separated by power contained in independent components for analysis (Moura et al 2014). These methods have improved the ease and diagnostic power of EEG by displaying quantitative frequency representation in trends, especially in intensive care units (Sansevere et al 2018).

Terminologies. Understanding the technical aspects of recording EEG requires a foundation of terminology that encompasses its instrumentation. The following is a glossary of terms used to facilitate the concepts involved in recording EEG.

Aliasing. Aliasing is a signal processing term. Aliasing occurs when a system is measured at an insufficient sampling rate and creates a frequency misrepresentation of the recorded activity.

Amplifier. Amplifier is an electronic device that can increase the power of a signal. An amplifier functions by using electric power from a power source to increase the amplitude of the voltage or current signal. The amplifier gain is the ratio of the output signal to the input signal.

Analog to digital converter (AD converter). Analog to digital converter is a system that converts an analog signal into a digital signal.

Artifacts. Artifacts are noncerebral signals that often contaminate the recordings in both temporal and spectral domains within a wide frequency band. Internal source of artifacts may be due to physiological activities of the subject (eg, ECG, EMG or muscle artifacts, EOG) and its movement. External sources of artifacts are environmental interferences, recording equipment, electrode pop, and cable movement. In addition, some artifacts appear focal whereas others appear diffusely.

Band width. Band width refers to a frequency range.

Bipolar recordings. Bioplar recordings are carried out where active electrode pairs are compared with each other to record the difference between each pair.

Calibration. Calibration is the comparison of measurement values delivered by a device under test with those of a calibration standard of known accuracy. A mechanical calibration is performed at the beginning and end of each recording to test the accuracy of the amplifiers.

Capacitance. Capacitance is the ability to store an electrical charge.

Channel. Channel refers to the output of an amplifier that displays electrical information.

Common-mode rejection. Common-mode rejection refers to the characteristic of differential amplification where a signal that is the same in the 2 amplifier inputs is “rejected,” or not recorded (there is no potential difference). Common-mode rejection ratio relates to the ratio of signal to noise.

Chart drive. Chart drive refers to the motion component of the EEG.

Derivation. Derivation refers to recording from an electrode pair with the output displayed in one channel of the recording.

Electrode. Electrode is a solid electric conductor through which an electric current enters or exits an electrolytic cell or other medium. The electrode is considered to be the first component in a series of instruments involved in recording EEG.

Electrode test. Electrode test is the test applied to electrodes to assess impedance.

Epileptiform discharges. Epileptiform discharges connotes EEG patterns believed to be associated with a relatively high risk for having seizures or epilepsy.

Filter. Filter refers to particular circuits within amplifiers that attenuate frequencies or frequency bands.

Gain. Gain is the ratio of the output signal to the input signal or the amount of magnification being used to amplify or increase the voltage of a signal.

Galvanometer. Galvanometer is an electromechanical instrument for detecting and measuring electric current.

High frequency filter. High frequency filter reduces the sensitivity of the EEG to high frequencies. It can be adjusted by a stepped control available on all EEG machines that perform digital recording.

Impedance. Impedance is the measurement of resistance to an alternating electrical current. In order to obtain a record with minimal electrical noise, impedance of the scalp electrodes should be under 10 kOhms.

Input I. Input refers to the first of 2 inputs measured by the EEG amplifier.

Input II. Input II refers to the second of 2 inputs measured by the EEG amplifier.

Interictal. Interictal refers to the period between seizures, or convulsions, that are characteristic of an epilepsy disorder.

Low frequency filter. Low frequency filter reduces the sensitivity of the EEG to record frequencies that are lower than the cut-off filter setting.

Jackbox. Jackbox is the electrode board where each individual pin of the electrodes is plugged to pre-amplify and convert the analogue signal to one that is digital. Each site is labeled with the anatomical name of the electrode and is also configured to represent a diagram of a head to alleviate confusion as to where to plug in the electrodes.

Nyquist-Shannon theorem. Nyquist-Shannon theorem states that the sampling rate must be at least twice the highest analog frequency component.

Ground. Ground is the reference point in an electrical circuit from which voltages are measured.

Montage. Montage is a standardized arrangement of selected pairs of electrode channel that are displayed in a “map” of the brain’s electrical activity chains for review. The most common montage is the A-P (anterior-posterior) longitudinal bipolar montage (aka the “double banana”) because the electrode configuration resembles 2 bananas laid front to back over each of the brain hemispheres. In a bipolar montage, neighboring electrodes may be paired in a chain to form an array either anterior to posterior (longitudinal bipolar) or side to side (transverse bipolar). The ACNS recommends that a standard EEG recording should contain at a minimum: one longitudinal bipolar montage, one transverse bipolar montage, and one referential montage.

Notch filter. Notch filter is a circuit that filters out narrow band frequencies, for example a 60 Hz (or 50 Hz) signal. Particularly important when recording in intensive care unit settings where a variety of electrical equipment is in use.

Oscillograph. Oscillograph is a device used for recording the wave-forms of changing currents, voltages, or any other quantity that can be translated into electric energy, as sound waves.

Phase reversal. Phase reversal refers to the principle means of localization in bipolar recording. The phase reversal reflects the maximal amplitude electrophysiological phenomenon of interest (eg, spikes or sharp waves) where waveforms “point” towards each other in adjacent channels.

Polarity. Polarity refers to negative, positive, or neutral values and relates to the polarity convention, which dictates that an upward deflection is surface-negative, and a downward deflection is surface-positive.

Reactivity. Reactivity refers to alteration of EEG activity by external sensory stimuli.

Reference electrode. Reference electrode refers to an electrode that is relatively inactive compared to the active electrode site and remains consistent for all electrodes in the montage. Examples of a reference electrode include ipsilateral ear/mastoid or vertex location. In a referential recording, the activity from the active electrode is compared to the reference to produce a potential difference.

Resistance. Resistance is opposition to direct electrical current (DC) flow.

Sensitivity. Sensitivity refers to ratio of input voltage to output recorded in a channel of the EEG recording.

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