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Hydrocel sensor net

Manufactured by Electrical Geodesics
Sourced in United States

The HydroCel Sensor Nets are high-density electrode arrays designed for electroencephalography (EEG) recording. The nets feature a hydrophilic design to facilitate efficient conduction of electrical signals from the scalp to the electrodes. Each net contains a pre-configured array of evenly spaced electrodes that can be easily applied to the head for data collection.

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7 protocols using hydrocel sensor net

1

High-Density EEG Recording Protocol

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EEG data were recorded continuously using a 129-channel Geodesics EGI System (Electrical Geodesics, Inc., Eugene, Oregon, USA) with a sponge-based HydroCel Sensor Net. The net was aligned with reference to three anatomical head landmarks: two preauricular points and the nasion landmark. Electrode-to-skin impedances were kept below 50 kΩ and were kept at equal levels across all electrodes. A recording band-pass filter was set at 0.001–200 Hz with a sampling rate of 1000 Hz. The Cz electrode was used as a reference electrode.
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2

Investigating Shoulder Rotation via EEG

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The participants were fit with a 256-electrode EEG cap (HydroCel Sensor Net, Electrical Geodesics, Inc., Eugene, Oregon, USA). The cap was placed on the participant’s head after 10 practice trials of the AS task were completed to familiarize them with the experimental procedures. EEG data were sampled at 1000 Hz using a high-input impedance Net Amp 300 amplifier (Electrical Geodesics, Inc.) and NetStation 4.5.3 software. The EEG signals were referenced to the vertex electrode (Cz) during recording. The inputs from the splint apparatus were recorded by the EEG amplifier, using separate channels to record respective buttons for internal and external shoulder rotation movements. The onset of the stimulus was recorded by the EEG amplifier using a light detector (Cedrus, San Pedro, California, USA) for precise timing information synchronized with the EEG.
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3

Continuous EEG Recording using Geodesic Sensor Net

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Continuous EEG was recorded using a Geodesic HydroCel Sensor Net (GSN) consisting of 128 electrodes evenly distributed across the scalp and referenced against the vertex electrode (Electrical Geodesics Inc.) at a sampling rate of 1,000 Hz. EEG signals were amplified by the EGI Net Amp 200 Amplifier with NetStation 4.2 software. The GSN also included the electrodes next to, and below, the eyes for recording horizontal and vertical eye movements. Signals were filtered online with a band pass filter of 0.05–100 Hz. All the electrodes were physically referenced to Cz (fixed by the EGI system). The impedance of each electrode was kept below 50 kΩ throughout the recording.
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4

Sensorimotor Task and EEG Data Collection Protocol

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Task stimuli were presented on a 24-inch (~61cm) high-definition (1920 × 1080 pixels) LCD computer monitor (ASUS VG248) from a PC (LG Electronics, Inc.) with a NVIDIA GeForce GTX 770 graphics card and a dual monitor display. Participants used a wireless LED computer mouse to control the onscreen cursor during the sensorimotor task (described in the next section). The sensorimotor task program was custom script programmed in MATLAB (The MathWorks, Inc., Natick, Massachusetts) using the Psychophysics Toolbox [68 (link)–70 (link)].
EEG data were collected using 128-electrode Electrical Geodesics, Inc (EGI) HydroCel Sensor Nets through EGI Net Station v.5 software on a Macintosh computer. The electrodes in the HydroCel Nets use a mild saline and shampoo solution. Electrodes are embedded in soft sponges and housed in pedestals.
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5

Monocular Viewing EEG Protocol

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EEG was recorded under monocular viewing at a 70-cm distance with the untested eye fully patched. The EEG data were collected with 128-channel HydroCel Sensor Nets (Electrical Geodesics, Eugene, OR). Signals were 0.1-Hz high-pass and 50-Hz (Bessel) low-pass filtered and digitized at 500 Hz. Following the EEG session, the three-dimensional (3D) locations of all electrodes and three major fiducials (nasion, left and right periauricular points) were digitized using a 3Space Fastrack 3D digitizer (Polhemus, Colchester, VT). These 3D digitized locations were used to coregister the electrodes to their T1-weighted anatomical MRI scans. EEG raw data and artifact rejection (including blink rejection and eye movement artifact detection) were evaluated offline based on a sample-by-sample thresholding procedure using the software package designed by the Norcia research group (Ales, Appelbaum, Cottereau, & Norcia, 2013 (link); Cottereau, Ales, & Norcia, 2014b (link); Cottereau, McKee, Ales, & Norcia, 2011 (link), 2012 (link)). Noisy sensors were replaced by the average of the six nearest spatial neighbors. Once noisy sensors were substituted, the EEG was rereferenced to the common average of all the sensors.
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6

EEG Data Acquisition and Preprocessing

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To collect EEG data, 128-channel HydroCel “Sensor Nets” (Electrical Geodesics, Eugene, OR) were used. Signals were 50 Hz low-pass and 0.1 Hz high-pass filtered and digitized at 500 Hz. At the end of the EEG session, three major fiducials (nasion, left and right periauricular points) and three-dimensional (3D) locations of all electrodes were digitized using a 3Space Fastrack 3D digitizer (Polhemus, Colchester, VT). These 3D locations were used to co-register the electrodes to the T1-weighted anatomical MRI scans. EEG raw data and artifact rejection, including blink rejection and eye movement artifact detection, were evaluated offline based on a sample-by-sample thresholding procedure using the software package designed by the Norcia research group (Ales, Appelbaum, Cottereau, & Norcia, 2013 (link); Cottereau, Ales, & Norcia, 2015 (link)). Noisy sensors were replaced by the average of the six nearest spatial neighbors. The EEG was re-referenced to the common average of all the sensors after noisy sensors were substituted.
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7

Sensorimotor Task with EEG Monitoring

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Task stimuli were presented on a 24-inch high-definition (1920 × 1080 pixels) LCD computer monitor (ASUS VG248) from a PC (LG Electronics, Inc.) with 32GB of RAM at 4GHz. This PC was equipped with a NVIDIA GeForce GTX 770 graphics card and a dual monitor display. Participants used a wireless LED computer mouse to control the onscreen cursor during the sensorimotor task (described below). The sensorimotor task program was custom script programmed in MATLAB (The MathWorks, Inc., Natick, Massachusetts) using the Psychophysics Toolbox [29 (link)–31 (link)].
EEG data were collected using 128-electrode Electrical Geodesics, Inc (EGI) HydroCel Sensor Nets through EGI Net Station v.5 software on a Macintosh computer. The electrodes in the HydroCel Nets use a mild saline and shampoo solution. Electrodes were embedded in soft sponges and housed in pedestals.
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