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Acticap 32ch standard 2

Manufactured by Brain Products

The ActiCAP 32Ch Standard-2 is a compact, lightweight, and easy-to-use EEG recording system. It features 32 active electrode channels and a fully integrated amplifier. The system is designed for mobile and stationary EEG recording applications.

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2 protocols using acticap 32ch standard 2

1

EEG Recording and Artifacts Rejection

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EEG data were recorded from 32 active electrodes (ActiCAP 32Ch Standard-2, Brain Products) at a sampling rate of 1000 Hz. Data were referenced online to FCz, and then re-referenced offline to the average of the left and right mastoids. Six additional active electrodes were used in order to record eye movements and blinks (vertical and horizontal EOGs), as well as movements of the mouth (EMG). Vertical EOG was recorded from below and above the orbital rim of the left eye. Horizontal EOG was recorded from the lateral orbital rim of the left and right eye. EMG measurements were taken one above the right side of the mouth (right orbicularis oris superior), and one below the left side of the mouth (left orbicularis oris inferior). The difference of the signals recorded from these pairs of electrodes (i.e., EOG and EMG) was used for artifacts rejection. All EEG signals were online filtered with the low cutoff of .016 Hz and the high cutoff of 125 Hz.
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2

Real-Time EEG Data Acquisition and Processing

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For EEG data collection, a 32 electrodes headset was used following the international 10-20 system. The signal was acquired using NeuroRT Acquisition Server, then filtered to remove artifacts and transformed in real-time using Mensia NeuroRT (Paris, France). The server directly captures EEG data from a BrainAmp amplifier connected to an actiCAP 32 Ch Standard-2 from Brain Products. chose to use NeuroRT due to its ability to provide real-time FFT data, which splits a signal into frequency bands and provides real-time filtering options. Participants sat at a desk with an adjustable chair, approx. 80 cm from a 24'' computer monitor, and were provided with a mouse and keyboard to interact with the task interface. No means of determining the current time was available during the experiment to prevent any confounds relating to task time remaining.
From a pool of 31 Participants who took part in the study, 24 (11 female) average age 26.73 (Max = 43; Min = 18) provided data usable for analysis. Participants were screened based on good health, moderate hair thickness, and normal to corrected normal vision. Participants were all business school students with experience with information dashboard interfaces and provided written consent following the University's ethics committee guidelines.
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