Journal: JMIR mHealth and uHealth

Article Title: User Experience of 7 Mobile Electroencephalography Devices: Comparative Study

doi: 10.2196/14474

Figure Lengend Snippet: Literature review regarding user experience of emerging electroencephalography technology.

Article Snippet: To compare the usability of a brain-computer interface for communication, Nijboer et al [ ] tested 3 different EEG headsets (g.tec’s g.SAHARA, Emotiv’s EPOC, and BioSemi’s ActiveTwo).

Techniques: Saline

Journal: JMIR mHealth and uHealth

Article Title: User Experience of 7 Mobile Electroencephalography Devices: Comparative Study

doi: 10.2196/14474

Figure Lengend Snippet: “I could apply and use the EEG headset without aid.” (1: does not apply at all and 5: applies fully). Statistics calculated over all subjects, subjects with positive attitude, and subjects with negative attitude toward technology for each device. EEG: electroencephalography.

Article Snippet: To compare the usability of a brain-computer interface for communication, Nijboer et al [ ] tested 3 different EEG headsets (g.tec’s g.SAHARA, Emotiv’s EPOC, and BioSemi’s ActiveTwo).

Techniques:

Journal: JMIR mHealth and uHealth

Article Title: User Experience of 7 Mobile Electroencephalography Devices: Comparative Study

doi: 10.2196/14474

Figure Lengend Snippet: User experience results of tested electroencephalography devices (medians over all subjects).

Article Snippet: To compare the usability of a brain-computer interface for communication, Nijboer et al [ ] tested 3 different EEG headsets (g.tec’s g.SAHARA, Emotiv’s EPOC, and BioSemi’s ActiveTwo).

Techniques:

Journal: NeuroImage

Article Title: Systematic comparison between a wireless EEG system with dry electrodes and a wired EEG system with wet electrodes

doi: 10.1016/j.neuroimage.2018.09.012

Figure Lengend Snippet: Dry electrodes of the F1 system. There are two versions of the electrodes in which the metal pins vary in length, in order to accommodate different hair types. The electrodes are spring loaded such that the two pins are adjustable in length as they push through the subject’s hair and come into contact with the scalp. The black casing of the electrodes magnetically attaches to the headset.

Article Snippet: The present study provides a systematic comparison in data quality and electrophysiological measures between a state-of-the-art and wired wet EEG system (hereafter referred to as the wet EEG system; ActiveTwo from Biosemi, the Netherlands) with 64 electrodes, and a compact and wireless dry EEG system (hereafter referred to as the dry EEG system; F1 from Nielsen Tele Medical, U.S.A.) with 31 electrodes based on a 10–20 system.

Techniques:

Journal: NeuroImage

Article Title: Systematic comparison between a wireless EEG system with dry electrodes and a wired EEG system with wet electrodes

doi: 10.1016/j.neuroimage.2018.09.012

Figure Lengend Snippet: Comparison of qualitative metrics between systems. A) In the top panel, participants’ reported level of comfort during preparation and during recording (on a Likert scale ranging from 1 = not comfortable at all to 6 = extremely comfortable) are illustrated separately for the dry and wet EEG systems. Agility was also rated on a Likert scale (ranging from 1 = not agile at all to 6 = very agile) for each system. In the bottom panel, the mean comfort ratings across a new set of subjects for each system are illustrated across the two hours of testing, during which subjects were seated at a desk and allowed to do whatever they choose to focus their attention on. Shaded area reflects standard errors. At each 15 min interval, subjects (n = 10 per system) rated how comfortable they felt with the head set on. B) The average setup and cleanup time per electrode are reported for the two systems separately.

Article Snippet: The present study provides a systematic comparison in data quality and electrophysiological measures between a state-of-the-art and wired wet EEG system (hereafter referred to as the wet EEG system; ActiveTwo from Biosemi, the Netherlands) with 64 electrodes, and a compact and wireless dry EEG system (hereafter referred to as the dry EEG system; F1 from Nielsen Tele Medical, U.S.A.) with 31 electrodes based on a 10–20 system.

Techniques: Comparison

Journal: NeuroImage

Article Title: Systematic comparison between a wireless EEG system with dry electrodes and a wired EEG system with wet electrodes

doi: 10.1016/j.neuroimage.2018.09.012

Figure Lengend Snippet: Resting EEG power spectrum and topography. A) The power spectrum density averaged across all electrodes for the dry EEG system and the corresponding electrodes for the wet EEG system are shown separately for rest with eyes open and closed. B) For rest with eyes open, separate scatterplots of individual subjects’ mean absolute log power for delta, theta, alpha, low beta, high beta, and gamma for the wet and dry EEG systems are plotted. Spearman correlations are reported for each scatterplot (gray solid line = regression line; gray dotted line = identity line). Topographic plots are also plotted separately for each frequency band and EEG system. C) The same scatterplot and scalp topography are plotted for rest with eyes closed. Topographic plots were normalized within system.

Article Snippet: The present study provides a systematic comparison in data quality and electrophysiological measures between a state-of-the-art and wired wet EEG system (hereafter referred to as the wet EEG system; ActiveTwo from Biosemi, the Netherlands) with 64 electrodes, and a compact and wireless dry EEG system (hereafter referred to as the dry EEG system; F1 from Nielsen Tele Medical, U.S.A.) with 31 electrodes based on a 10–20 system.

Techniques:

Journal: Frontiers in Computational Neuroscience

Article Title: A CNN-Based Deep Learning Approach for SSVEP Detection Targeting Binaural Ear-EEG

doi: 10.3389/fncom.2022.868642

Figure Lengend Snippet: SSVEP performance comparison.

Article Snippet: Wang et al. ( ) , Extended CCA , Custom mold + Biosemi ActiveTwo EEG , 12 (2 × 6) , 2X In-ear , 2[own] , 4s , 4 , 78.75 (offline) 87.44 (online) , 15.71.

Techniques: Comparison