Eego mylab system

Manufactured by ANT Neuro

The Eego mylab system is a modular and expandable electroencephalography (EEG) platform designed for research and clinical applications. It provides high-quality signal acquisition and data management capabilities. The system is capable of recording, analyzing, and visualizing EEG data, but a detailed description of its intended use or interpretations is not provided.

Automatically generated - may contain errors

Lab products found in correlation

Matlab 2016a, by MathWorks (1 mentions) Waveguard, by ANT Neuro (1 mentions) Xensor, by ANT Neuro (1 mentions)

3 protocols using eego mylab system

Motor EEG Signals Analysis Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols

Motor EEG signals will be collected through the OpenViBE software platform with eego mylab system (ANT neuro) 64-EEG channels, covering the entire scalp at 16,000 Hz and 1 external channel placed on the dorsum of the contralateral hand to the electric stimulation, by means of an adhesive surface electrode. All offline analyses will be performed using the EEGLAB toolbox [34 (link)] and Matlab2016a (The MathWorks Inc). The findings will be additionally investigated by applying a Laplacian filter and a mastoidal re-referencing [35 (link)]. Then, the EEG signals will be resampled (128 Hz) and epoched into 6-s windows (1 second before and 5 seconds after the MNS). We will compute the ERD/ERS% using the “band power method” [36 (link)]. Additionally, SEP will be calculated by averaging epochs extracted from 0.25 to 0.5 with respect to the electric shock.

Rimbert S., Lelarge J., Guerci P., Bidgoli S.J., Meistelman C., Cheron G., Cebolla Alvarez A.M, & Schmartz D. (2023). Detection of Motor Cerebral Activity After Median Nerve Stimulation During General Anesthesia (STIM-MOTANA): Protocol for a Prospective Interventional Study. JMIR Research Protocols, 12, e43870.

+ Open protocol

+ Expand

Ambulatory EEG with Implanted Neural Devices

Check if the same lab product or an alternative is used in the 5 most similar protocols

Participants with chronically implanted neural devices can also wear a scalp EEG cap that allows for ambulatory behaviors. We integrated, with the Mo-DBRS platform, a mobile 64-channel scalp EEG system (Wave Guard and eego™ mylab system, ANT Neuro, The Netherlands) that includes a lightweight amplifier (~ 2 lbs) which connects to the EEG cap and a small tablet to which data is being transmitted, and which can both be carried in a backpack. For electrode digitization and localization, we used ANT Neuro’s xensor™, a system for real-time EEG electrode pinpointing, digitization, and visualization based on infrared high-accuracy measurements (< 2 mm accuracy). Measurements were performed using a pointer and reference tools (infrared-reflective objects) relative to the head and underlying brain (if MRI was available). Accuracy was further improved by using xensor’s built-in feature for individual head shape generation (ANT Neuro, 2018). Scalp EEG and iEEG data were then synchronized (see the Mo-DBRS Synchronization section below) and analyzed offline.

Topalovic U., Aghajan Z.M., Villaroman D., Hiller S., Christov-Moore L., Wishard T.J., Stangl M., Hasulak N.R., Inman C.S., Fields T.A., Rao V.R., Eliashiv D., Fried I, & Suthana N. (2020). Wireless Programmable Recording and Stimulation of Deep Brain Activity in Freely Moving Humans. Neuron, 108(2), 322-334.e9.

+ Open protocol

+ Expand

Multimodal Neurophysiological Monitoring during Cognitive Tasks

Check if the same lab product or an alternative is used in the 5 most similar protocols

Eye movement data were continuously collected at a sampling rate of 60 Hz using an SMI REDn eye‐tracker (iMotions), which was attached to a 17.5‐inch monitor with a screen resolution of 1280 × 720 pixels. Because the algorithm of the EEG‐VET does not involve the use of eye‐tracker data, these data were only used to exclude participants who missed >10% of task trials. Only data from the dominant eye were used for eye‐tracking data analysis. EEG data were recorded continuously along with eye‐tracking data using an eegoMylab system (ANT Neuro) with 64 electrodes placed according to the standard 10–20 system at a sampling rate of 500 Hz, with reference electrodes placed on the mastoids (the bones behind the ears) and electrode impedance kept below 20 kΩ. EEG data were notch‐filtered (50 Hz) and high‐pass filtered (0.1 Hz) before further processing. E‐prime software communicated with the EEG system via a parallel port.

Sun R., Cheng A.S., Chan C., Hsiao J., Privitera A.J., Gao J., Fong C., Ding R, & Tang A.C. (2023). Tracking gaze position from EEG: Exploring the possibility of an EEG‐based virtual eye‐tracker. Brain and Behavior, 13(10), e3205.

+ Open protocol

+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!