Research

@article{slater2012quality,

title = {Quality assessment of electroencephalography obtained from a “dry electrode” system},

author = {Jeremy D Slater and Giridhar P Kalamangalam and Omotola Hope},

doi = {https://doi.org/10.1016/j.jneumeth.2012.05.011},

year  = {2012},

date = {2012-07-01},

journal = {Journal of Neuroscience Methods},

volume = {208},

number = {2},

pages = {134--137},

publisher = {Elsevier},

abstract = {This study examines the difference in application times for routine electroencephalography (EEG) utilizing traditional electrodes and a “dry electrode” headset. The primary outcome measure was the time to interpretable EEG (TIE). A secondary outcome measure of recording quality and interpretability was obtained from EEG sample review by two blinded clinical neurophysiologists. With EEG samples obtained from 10 subjects, the average TIE for the “dry electrode” system was 139 s, and for the conventional recording 873 s (p < 0.001). The results support the hypothesis that such a “dry electrode” system can be applied with more than an 80% reduction in the TIE while still obtaining interpretable EEG.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{estepp2010evaluation,

title = {Evaluation of a Dry Electrode System for Electroencephalography: Applications for Psychophysiological Cognitive Workload Assessment},

author = {Justin R Estepp and Jason W Monnin and James C Christensen and Glenn F Wilson},

doi = {First Published September 1, 2010 Research Article https://doi.org/10.1177/154193121005400305},

year  = {2010},

date = {2010-09-01},

booktitle = {Proceedings of the Human Factors and Ergonomics Society Annual Meeting},

volume = {54},

number = {3},

pages = {210--214},

organization = {SAGE Publications Sage CA: Los Angeles, CA},

abstract = {Advances in state-of-the-art dry electrode technology have led to the development of a novel dry electrode system for electroencephalography (QUASAR, Inc.; San Diego, California, USA). While basic systems-level testing and comparison of this dry electrode system to conventional wet electrode systems has proved to be very favorable, very limited data has been collected that demonstrates the ability of QUASAR's dry electrode system to replicate results produced in more applied, dynamic testing environments that may be used for human factors applications. In this study, QUASAR's dry electrode headset was used in combination with traditional wet electrodes to determine the ability of the dry electrode system to accurately differentiate between varying levels of cognitive workload. Results show that the accuracy in cognitive workload assessment obtained with wet electrodes is comparable to that obtained with the dry electrodes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{antonenko2010using,

title = {Using Electroencephalography to Measure Cognitive Load},

author = {Pavlo Antonenko and Fred Paas and Roland Grabner and Tamara Van Gog},

doi = {dx.doi.org/10.1007/s10648-010-9130-y},

year  = {2010},

date = {2010-04-29},

journal = {Educational Psychology Review},

volume = {22},

number = {4},

pages = {425--438},

publisher = {Springer},

abstract = {Application of physiological methods, in particular electroencephalography (EEG), offers new and promising approaches to educational psychology research. EEG is identified as a physiological index that can serve as an online, continuous measure of cognitive load detecting subtle fluctuations in instantaneous load, which can help explain effects of instructional interventions when measures of overall cognitive load fail to reflect such differences in cognitive processing. This paper presents a review of seminal literature on the use of continuous EEG to measure cognitive load and describes two case studies on learning from hypertext and multimedia that employed EEG methodology to collect and analyze cognitive load data.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{matthews2009physiological,

title = {Physiological Sensor Suite Using Zero Preparation Hybrid Electrodes for Real Time Workload Classification},

author = {R Matthews and PJ Turner and NJ McDonald and K Ermolaev and T Mc Manus and RA Shelby and M Steindorf},

url = {http://www.quasarusa.com/pdf/Matthews_ITEA_2009_Physiological%20Sensor%20Suite%20Using%20Zero%20Preparation%20Hybrid%20Electrodes%20for%20Real%20Time%20Workload%20Classification.pdf},

year  = {2009},

date = {2009-01-01},

journal = {The International Test and Evaluation Association},

volume = {30},

pages = {13--17},

abstract = {Quantum Applied Science and Research is working closely with the Aberdeen Test Center to develop an integrated system to monitor warfighter physiology. This need has been recognized by two recent major programs: the Defense Advanced Research Projects Agency’s Augmented Cognition program and the U.S. Army’s Warfighter Physiological Status Monitor program. However, these programs were limited by inadequate development of fully deployable noninvasive sensors and in the number of physiological variables they could simultaneously measure. Warfighters need to rapidly perceive, comprehend, and translate combat information into action. To aid them, robust gauges have been developed for classification of cognitive workload, engagement, and fatigue, which simplify complex physiological data into onedimensional parameters that can be used to identify a subject’s cognitive state during the varied tasks carried out in a training environment. This article describes the two main hardware modules that form part of an integrated Physiological Sensor Suite (PSS): a Physiological Status Monitor (PSM) and a module for the measurement of electroencephalograms (EEGs). The PSS is based on revolutionary noninvasive bioelectric sensor technologies. No modification of the skin’s outer layer is required for the operation of this sensor technology, unlike conventional electrode technology that requires the use of conductive pastes or gels, often with abrasive skin preparation of the electrode site. The PSS was designed to be wearable and unobtrusive, with an emphasis on the capability of long-term monitoring of physiological signals. These factors are of considerable importance in operational settings where high end-user compliance is required. The PSM is a simple belt that is worn around the chest. The EEG system has already been incorporated into a soldier’s Kevlar helmet and tested successfully during combat training. Data are acquired using a miniature, ultralowpower, microprocessor-controlled multichannel data acquisition (DAQ) unit that transmits data wirelessly to a base station/data logger worn by the subject. The DAQ unit is worn on the body close to the measurement point, reducing the amount of cable clutter and minimizing the impact on subject mobility without introducing motion artifacts.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}