Eego mylab

Recording personal information, namely, age, gender, nationality and history of illness were recorded. The electroencephalography (EEG) was applied in this study. The neuroheadset was used to display the output, analyze and record EEG power spectrum. In this study, the effectiveness of commercially available electroencephalographic (EEG) device, eego TM mylab (ANT Neuro, Hengelo, Natherlands), was applied. The eeg TM mylab is ideal for investigating all kinds of EEG paradigms. The eego TM mylab is comes in four variants for recordings from 32 to 256 EEG channels. The number of channels can be easily increased by adding additional 64-channel amplifiers to the setup. Additionally, each of the 4 variants can be easily extended for simultaneous recordings with of up to 24 EMG channels or to a combination of EMG channels with a variety of physiological sensors from both the brain and body (Figure 1).

The EEG signal is collected and recorded using a 32-lead EEG recorder (eegoTM mylab, ANT Neuro, Netherlands). As shown in Fig. 3(a), after the subject puts on the electrode cap, the hydrogel electrode material is injected into 34 electrode sites.
As shown in Fig. 3(b), when all 34 channels are displayed in green on the computer interface, it means that the impedance of the electrode materials of all channels is below 20 kO, and then the next EEG signal acquisition test can be performed and the sampling frequency is 500 Hz. Among them, GND is a ground electrode, and CPz, M1, and M2 are reference electrodes. The EEG signal was collected for 3 h in a noise-reducing enclosed space, and the current state of the subject was evaluated every 0.5 h. During the experimental test, the subjects try to avoid swallowing, shaking their legs, clenching their teeth and other behaviours that affect signal collection, and try to avoid large-scale shaking to prevent movement artifacts and external noise.

Recording personal information, namely, age, gender, nationality and history of illness were recorded. The electroencephalography (EEG) was applied in this study. The neuroheadset was used to display the output, analyze and record EEG power spectrum. In this study, the effectiveness of commercially available electroencephalographic (EEG) device, eego TM mylab (ANT Neuro, Hengelo, Natherlands), was applied. The eego TM mylab is ideal for investigating all kinds of EEG paradigms. The eego TM mylab comes in four variants for recordings from 32 to 256 EEG channels. The number of channels can be easily increased by adding additional 64-channel amplifiers to the setup. Additionally, each of the 4 variants can be easily extended for simultaneous recordings with of up to 24 EMG channels or to a combination of EMG channels with a variety of physiological sensors from both the brain and body (Figure 1).

We recorded high-resolution (24 bit) EEG signals with 64-channels (eego TM mylab, ANT Neuro,
The Netherlands) at a sampling rate of 2kHz. Vertical electrooculography was also recorded for further removing eye movement components. Bipolar EMG of the first dorsal interosseous (FDI) muscle was recorded from the hand side used to perform repetitive movement tasks.
Individual positions of the EEG electrodes and fiducial markers were acquired by a 3D optical digitization system (EEG Pinpoint, Localite, Germany) before EEG recordings. Data were recorded during the 5 min resting period and the subsequent repetitive movement tasks (as mentioned above).