Electrode impedance was kept below 5 kΩ. Horizontal and vertical electro-oculographic data were registered with two bipolar channels. Two Electrocardiogram (ECG) electrodes were placed in the heart axis and two electrodes in a submental position to record EMG artifacts. EEG measurements were sampled at 2 kHz with an analog, anti-aliasing RC low-pass filter at 800 Hz. The EEG data were digitally high-pass and low-pass filtered offline with a Hann function filter at 0.5 Hz and 250 Hz and a tapering window at 10%. No notch filters were applied.
Synamp
SynAmps is a high-performance EEG data acquisition system designed for clinical and research applications. It features multi-channel amplification and analog-to-digital conversion capabilities to record and process electroencephalography (EEG) signals.
Lab products found in correlation
18 protocols using synamp
Multimodal Neurophysiological Acquisition Protocol
Electrode impedance was kept below 5 kΩ. Horizontal and vertical electro-oculographic data were registered with two bipolar channels. Two Electrocardiogram (ECG) electrodes were placed in the heart axis and two electrodes in a submental position to record EMG artifacts. EEG measurements were sampled at 2 kHz with an analog, anti-aliasing RC low-pass filter at 800 Hz. The EEG data were digitally high-pass and low-pass filtered offline with a Hann function filter at 0.5 Hz and 250 Hz and a tapering window at 10%. No notch filters were applied.
Multimodal Assessment of Neurological Function
EEG Acquisition Using Neuroscan System
Long-Term Video-EEG Recording for Neurological Assessment
EEG Recording During Navon Task
EEG Recording and Preprocessing Protocol
We kept electrode impedance below 5 kΩ. Furthermore, we registered horizontal and vertical electro-oculographic (EOG) data with two bipolar channels. Moreover, we placed two EKG-electrodes in the heart axis on the chest and two electrodes in submental positions to record EMG-artifacts. We sampled the EEG measurements at 2 kHz with an analog, antialiasing RC low-pass filter at 800 Hz and digitally high-pass and low-pass bandpass filtered the EEG-data offline with a Hann function filter at 0.5 and 250 Hz with a tapering window at 10%. We did not apply any notch filters.
EEG Data Acquisition and Analysis
EEG data were analyzed in MATLAB, using the FieldTrip toolbox (Oostenveld et al., 2011 (link)). Data were rereferenced to the average of both mastoids and downsampled to 250 Hz. ICA was performed to identify components associated with blinking or lateral eye movements, and bad components were removed from the data. After ICA correction, trials with exceptional variance were identified based on visual inspection (ft_rejectvisual with the “summary” method) and excluded. Noisy trials were identified without knowledge of the relevant conditions to which particular trials belonged. We additionally excluded trials in which the decision time (the time between cue onset and report onset) was below 200 or above 2,000 ms. In E1, on average 1,027 ± 25 trials (86 ± 2%) were retained for analysis. In E2, on average 700 ± 11 trials (87 ± 1%) were retained for analysis.
Multimodal EEG Recording Setup
Scalp EEG Recording Methodology
Scalp EEG Recording and Artifact Monitoring
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