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Eego sports

Manufactured by ANT Neuro
Sourced in Netherlands

The Eego sports is a portable electroencephalography (EEG) device designed for recording brain activity. It provides real-time acquisition of high-quality EEG data, suitable for a variety of applications.

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6 protocols using Eego sports

The EEG signals were continuously recorded with a conventional gel-based cap (Waveguard original, ANT Neuro) with 64 AgCl electrodes in a layout based on the extended international 10–20 system for electrode placement (Jurcak et al., 2007 (link)). CPz and AFz were used as reference and ground, respectively. Nasion, inion, and preauricular points were used as anatomical landmarks to position the EEG cap. Conductive gel for electrophysiological measurements was used (OneStep Cleargel, H+H Medizinprodukte), and impedance was kept below 10 kΩ (6.11 ± 2.18 kΩ) to comply with current standards in cognitive neurosciences. The EEG cap was connected to an EEG mobile amplifier (eego sports, ANT Neuro b. v., Hengelo, Netherlands), and the sampling rate was 1,024 samples/s, using the corresponding eego software (ANT Neuro b. v., Hengelo, Netherlands). A Monark Cycle-Ergometer (939 E, Monark Exercise AB, Vansbro, Sweden), power-controlled by an external device (Fitmate-PRO, Cosmed, Rome, Italy), was used for the endurance cycling task. Two qualified researchers collected the data. The data collection occurred in a quiet and safe environment to guarantee the participants’ comfort.
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EEG data were acquired with a 64-channel EEG cap (Waveguard Original, ANT Neuro b.v., Enschede, Netherlands) and a mobile EEG amplifier (eego sports, ANT Neuro b.v., Enschede, Netherlands) at a sampling rate of 1,024 Hz. The 64-electrode configuration was set according to the international 10–20 system. The reference and ground electrodes were placed on CPz and AFz, respectively. Most electrodes (about 65%) had impedances <5 KΩ.
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A force plate (AMTI®, 200 Hz) was used to record CoP and, offline, to define the timing of the APAs. The kinematic parameters of 39 reflective passive markers, positioned according to the Full Body Plug-in-Gait model (Vicon Motion System®), were acquired by 10 infrared Vicon Motion System® cameras (200 Hz). The cortical activity was recorded by an electroencephalogram (EEG) equipment and was performed in accordance with the procedures suggested by the EEG manufacturer (eego™sports, ANT Neuro, Enschede, Netherlands, 1,024 Hz). A cap with 64 active electrodes, connected to an amplifier, was used, following the 10–10 International system electrode placement. The impedance remained below 10 KΩ on the electrodes.
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We simultaneously measured EEG, ECG, and EMG data. Using an EEG device (eego™sports; ANT Neuro b.v., Hengelo, Netherlands), neural oscillations were recorded. Using a Biopac MP150 (Biopac Systems, Inc., Goleta, CA, USA), the HR and electrical activities of the arm muscles were recorded. The sampling frequency was 2,000 Hz for all measurements. We used 63 silver chloride (Ag/AgCl) active electrodes during EEG recordings. The electrodes were placed on the scalp as per the 10-10 system (Fp1, Fp2, AF3, AF4, AF7, AF8, F1, F2, F3, F4, F5, F6, F7, F8, FC1, FC2, FC3, FC4, FC5, FC6, FT7, FT8, C1, C2, C3, C4, C5, C6, T7, T8, CP1, CP2, CP3, CP4, CP5, CP6, TP7, TP8, P1, P2, P3, P4, P5, P6, P7, P8, PO3, PO4, PO5, PO6, PO7, PO8, O1, O2, Fpz, Fz, FCz, Cz, Pz, POz, Oz, M1, and M2). EEG signals were referenced to AFz and re-referenced offline to CPz in the analysis phase. ECG measured the inter-beat intervals (R–R intervals). The electrodes were made of silver-silver chloride (Ag–AgCl). EMG measured the electrical activities produced by the skeletal muscles of the extensor digitorum of the right and left forearms that are responsible for joystick control and button press. The electrodes were made of Ag–AgCl. The EMG signals were referenced to the elbows.
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, returned to the starting position, and completed the virtual SAM questionnaire. In the case of NoGo, participants turned around and completed the virtual SAM questionnaire. The three different doors had the following dimensions: Narrow, 0.2 m; Mid, 1 m; Wide, 1.5 m. Note the colour codes for each the immobile and mobile phases as they are used throughout the paper.
EEG Recording. The MoBI approach affords to record human brain dynamics in participants that are actively transitioning the different doors. A mobile 64-channel EEG (eegoSports, ANT Neuro, Enschede, Netherlands) was combined with Windows Mixed Reality goggles (2.89, 2880  1440 resolution, update rate at 90 Hz, 100-degree field of view with a weight of 440 grams) and a high-performance gaming computer backpack to render the VR environment (Zotac, PC, Partner Limited, Hong Kong, China). The VR environment was scripted in, and powered by, Unity. The participants were equipped with a hand-controller by Acer that was linked to the VR-system (see Figure 2). All EEG data were recorded (DC) with a 0.3 Hz high-pass filter and sampled at 500 Hz with impedances kept below 10 k. Computational delays were measured by parallel processing a direct event-marker and an event-marker through Unity. The 20 ms ± 4 ms were corrected during the analysis.
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Three-dimensional ground reaction forces (GRF) were recorded from the walker with force plates beneath the right and left belts of the treadmill at a sampling rate of 1000 Hz. The GRF data were low-pass filtered (5 Hz cutoff, zero-lag Butterworth filter). MATLAB 2019a (MathWorks, Natick, MA, USA) was used to perform all the post-processing analyses offline.
EEG signals were recorded from 61 channels using an EEG cap (Waveguard original, ANT Neuro b.v., Enschede, Netherlands) according to the international 10-10 system layout (Fig. 1D) and an EEG amplifier (eego sports, ANT Neuro b.v., Enschede, Netherlands) at a sampling frequency of 500 Hz. Ground and reference electrodes were placed on AFz and CPz. Impedances of the electrodes were kept below 30 kΩ (10 kΩ in most electrodes), which was substantially lower than the recommended impedance (below 50 kΩ) for the high-impedance EEG amplifier.
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