Abstract
In this paper, the measurement of event-related brain potentials (ERP) amplitude and latency based on digital stochastic measurement over interval (DSMI) method are described. Different variations of the measurement system are considered. It was found that measurement errors of amplitude increase with the reduction of the examination time. However, the measurement errors for ERP peak latency remain relatively small. This makes the system useful for practical implementations when the latency is the most interesting parameter and requirements for a short measurement time are of high priority.
Highlights
Electroencephalography (EEG) is a measurement method used for measuring brain electrical voltage fluctuations [1]
We propose a system for measuring event-related brain potentials (ERP) peak amplitudes and latencies based on the digital stochastic measurement over interval (DSMI) method with the same or reduced number of measurement epochs compared with the standard system
The input EEG signal data are divided into 256 EEG epochs (Ne = 256) recorded during one type of central nervous system stimulation
Summary
Electroencephalography (EEG) is a measurement method used for measuring brain electrical voltage fluctuations [1]. This method is widely used in detection of neurophysiological phenomena of the central nervous system (CNS). Recording of EEG signals is often used in clinical diagnostics procedures of audio-visual tests [2] or multiphase detection of sleep [3]. Except of the clinical practice, EEG is used in many research areas [4]–[11]. The EEG signal spectrum ranges can be divided into five ranges: delta (from 1 Hz to 4 Hz), theta (from 4 Hz to 8 Hz), alpha (from 8 Hz to 12 Hz), beta (from 12 Hz to 30 Hz), and gamma (≥ 30 Hz) [12]
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