A VALIDATION OF A PROTOTYPE DRY ELECTRODE SYSTEM FOR ELECTROENCEPHALOGRAPHY
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Wright State University / OhioLINK
2011
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=wright1316771492 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-wright13167714922021-08-03T06:17:26Z A VALIDATION OF A PROTOTYPE DRY ELECTRODE SYSTEM FOR ELECTROENCEPHALOGRAPHY Monnin, Jason Biomedical Engineering dry electrode wet electrode EEG operator state assessment magnitude squared coherence artificial neural network Current physiologically-driven operator cognitive state assessment technology relies primarily on electroencephalographic (EEG) signals. Traditionally, gel-based electrodes have been used; however, the application of gel-based electrodes on the scalp requires expertise and a considerable amount of preparation time. Additionally, discomfort can occur from the abrasion of the scalp during preparation, and the electrolyte will also begin to dry out over extended periods of time. These drawbacks have hindered the transition of operator state assessment technology into an operational environment. QUASAR, Inc., (San Diego, CA) has developed a prototype dry electrode system for electroencephalography that requires minimal preparation. A comparison of the dry electrode system to traditional wet electrodes was conducted and is presented here. The results show that initially the EEG recorded by the dry electrode system was quite similar to that recorded by the wet electrodes, but the similarity decreased over a testing period of six months. For cognitive state assessment, the dry electrodes were able to achieve classification accuracies within one to two percent of those achieved by the wet electrodes, with no decrease in accuracy over time. The results suggest that the dry electrode system is capable of recording electroencephalographic signals to be used in cognitive state assessment, and aiding in the transition of that technology into an operational environment. Further work should be conducted to improve the reliability of this novel system. 2011-09-23 English text Wright State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=wright1316771492 http://rave.ohiolink.edu/etdc/view?acc_num=wright1316771492 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Biomedical Engineering dry electrode wet electrode EEG operator state assessment magnitude squared coherence artificial neural network |
| spellingShingle |
Biomedical Engineering dry electrode wet electrode EEG operator state assessment magnitude squared coherence artificial neural network Monnin, Jason A VALIDATION OF A PROTOTYPE DRY ELECTRODE SYSTEM FOR ELECTROENCEPHALOGRAPHY |
| author |
Monnin, Jason |
| author_facet |
Monnin, Jason |
| author_sort |
Monnin, Jason |
| title |
A VALIDATION OF A PROTOTYPE DRY ELECTRODE SYSTEM FOR ELECTROENCEPHALOGRAPHY |
| title_short |
A VALIDATION OF A PROTOTYPE DRY ELECTRODE SYSTEM FOR ELECTROENCEPHALOGRAPHY |
| title_full |
A VALIDATION OF A PROTOTYPE DRY ELECTRODE SYSTEM FOR ELECTROENCEPHALOGRAPHY |
| title_fullStr |
A VALIDATION OF A PROTOTYPE DRY ELECTRODE SYSTEM FOR ELECTROENCEPHALOGRAPHY |
| title_full_unstemmed |
A VALIDATION OF A PROTOTYPE DRY ELECTRODE SYSTEM FOR ELECTROENCEPHALOGRAPHY |
| title_sort |
validation of a prototype dry electrode system for electroencephalography |
| publisher |
Wright State University / OhioLINK |
| publishDate |
2011 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=wright1316771492 |
| work_keys_str_mv |
AT monninjason avalidationofaprototypedryelectrodesystemforelectroencephalography AT monninjason validationofaprototypedryelectrodesystemforelectroencephalography |
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1719434145487126528 |