High density EEG data were recorded using a 128-channel EGI System (Electrical Geodesics Inc., USA) at a sampling rate of 1 KHz. Impedances were kept below 50 KΩ per manufacturer’s recommendation. Eye movements and eye blinks were monitored. Stimulus presentation and behavioral response recording were controlled with E-prime software (Psychology Software Tools, Inc., Pittsburgh, PA, USA).
Egi system
Manufactured by Electrical Geodesics
Sourced in United States
The EGI system is a high-density electroencephalography (EEG) recording system designed for research purposes. It provides a comprehensive solution for capturing and analyzing neural activity data. The core function of the EGI system is to record and process electrical signals from the brain, allowing researchers to study various aspects of brain function and cognition.
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Lab products found in correlation
5 protocols using egi system
1
High-Density EEG Acquisition Protocol
2
Multimodal Physiological Signals Synchronization
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Electrocardiogram (ECG), impedance cardiography (ICG), beat-to-beat BP and electroencephalography (EEG) were measured simultaneously and continuously during the experiments. Surface Ag/AgCl electrodes were attached to the chest and limbs for ECG and ICG measuring. One-lead ECG and ICG was recorded by ECG100C and NICO100C (MP150, BIOPAC Systems, Inc., America) according to the electrode connections of the Acknowledge Software Guide for the measurements. Beat-to-beat arterial BP was logged continuously via a non-invasive finger photoplethysmography (FMS, Finapres Measurement Systems, Arnhem, Netherlands).
128-lead EEG was recorded by EGI system (EGI, Electrical Geodesics, Inc., America.). In the study, 18 electrodes were selected according to the international 10–20 lead systems. The electrode impedances were limited below 50 kΩ per site. All electrodes were referenced to linked ear lobe electrodes.
BP from the FMS analog output was send into the first input channel of MP150. Meanwhile, MP150 communicated with EGI through Net Amps 300 Clock Sync I/O. When recording of MP150 started, a trigger would send into EGI simultaneously. A marker was then located on EEG, which make it possible for synchronous acquisition of different instruments. All signals were sampled at 1000 Hz.
128-lead EEG was recorded by EGI system (EGI, Electrical Geodesics, Inc., America.). In the study, 18 electrodes were selected according to the international 10–20 lead systems. The electrode impedances were limited below 50 kΩ per site. All electrodes were referenced to linked ear lobe electrodes.
BP from the FMS analog output was send into the first input channel of MP150. Meanwhile, MP150 communicated with EGI through Net Amps 300 Clock Sync I/O. When recording of MP150 started, a trigger would send into EGI simultaneously. A marker was then located on EEG, which make it possible for synchronous acquisition of different instruments. All signals were sampled at 1000 Hz.
3
EEG Recording for Elderly Population
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The neurophysiological EEG data were recorded using a high-density 256 channel EGI system (Electrical Geodesics Inc., USA) with a sampling rate of 250 Hz. The electrodes used are sponge-based in order to have a quick application time (10–20 min) necessary due to the elderly population. The impedances of all electrodes were kept below 50 kΩ (Ferree et al., 2001 (link)). During the recording, patients were instructed to keep awake and relaxed, with their eyes closed in a quiet room. 60 s of eyes-closed resting-state were selected for analysis.
4
EEG-based Emotion Classification Protocol
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The continuous EEG data was recorded with Electrical Geodesics Incorporated (EGI) system having 128 channels with a sampling frequency of 250 Hz with impedance of 50 KΩ. The data was recorded using Net Station software [28] .
The preprocessing of EEG data was done using Brain Electrical Source Analysis (BESA) in which the signal was filtered between 0.3 to 30 Hz using a bandpass filter as all the relevant frequencies like alpha, beta, delta and theta lies in this range. Finally the preprocessed data was exported to MATLAB for further analysis. In MATLAB, data against individual image was analyzed separately and no response or data was excluded for fair analysis.
Analyzing data for better classification results is considered on feature extraction, selection of key features and finally classification of significant data according to the particular class. During the final analysis, data of 25 subjects were used to make the analysis reliable.
The preprocessing of EEG data was done using Brain Electrical Source Analysis (BESA) in which the signal was filtered between 0.3 to 30 Hz using a bandpass filter as all the relevant frequencies like alpha, beta, delta and theta lies in this range. Finally the preprocessed data was exported to MATLAB for further analysis. In MATLAB, data against individual image was analyzed separately and no response or data was excluded for fair analysis.
Analyzing data for better classification results is considered on feature extraction, selection of key features and finally classification of significant data according to the particular class. During the final analysis, data of 25 subjects were used to make the analysis reliable.
5
Resting-state EEG Acquisition Protocol
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We recorded the EEG following a standardized approach72 (link). Recordings were performed in a quiet room. Patients were asked to sit in a comfortable position, have their sight directed naturally below the horizon line, not to move or talk, and relax as much as possible. The investigator made sure they did not fall asleep by observing the patient and verbally calling his attention if drowsiness was noticed. Resting-state EEG was recorded for 5 min with eyes closed using a 128-channel EGI system (Electrical Geodesics, Inc) (EGI, Eugene, USA). The EEG was recorded with a band-pass filter of 0.3–200 Hz and digitized at the sampling rate of 250 Hz.
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