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A quantitative evaluation of dry-sen...

Stanford University.

A quantitative evaluation of dry-sensor electroencephalography.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A quantitative evaluation of dry-sensor electroencephalography.
作者:	Uy, E. Timothy.
面頁冊數:	155 p.
附註:	Adviser: Patrick Suppes.
附註:	Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 1944.
Contained By:	Dissertation Abstracts International66-04B.
標題:	Biophysics, Medical.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3171697
ISBN:	9780542084478

A quantitative evaluation of dry-sensor electroencephalography.
Uy, E. Timothy.

A quantitative evaluation of dry-sensor electroencephalography. - 155 p.

Adviser: Patrick Suppes.

Thesis (Ph.D.)--Stanford University, 2005.

Accuracy of the EEG is paramount in the medical diagnosis of epilepsy, in experimental psychology and in the burgeoning field of brain-computer interface. Without a sufficiently accurate measurement, the advantages of dry sensors remain a moot point. However, even after nearly a decade, demonstrations of dry EEG accuracy with respect to wet have been limited to visual comparison of short snippets of spontaneous EEG, averaged event-related potentials or plots of power spectrum. In this dissertation, I propose a detailed methodology based on single-trial EEG classification for comparing dry EEG sensors to their wet counterparts. Applied to a set of commercially fabricated dry sensors, this work reveals that dry sensors can perform as well their wet counterparts with careful screening and attention to the bandwidth of interest.

ISBN: 9780542084478Subjects--Topical Terms:

227040
Biophysics, Medical.

A quantitative evaluation of dry-sensor electroencephalography.
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520 # $a Accuracy of the EEG is paramount in the medical diagnosis of epilepsy, in experimental psychology and in the burgeoning field of brain-computer interface. Without a sufficiently accurate measurement, the advantages of dry sensors remain a moot point. However, even after nearly a decade, demonstrations of dry EEG accuracy with respect to wet have been limited to visual comparison of short snippets of spontaneous EEG, averaged event-related potentials or plots of power spectrum. In this dissertation, I propose a detailed methodology based on single-trial EEG classification for comparing dry EEG sensors to their wet counterparts. Applied to a set of commercially fabricated dry sensors, this work reveals that dry sensors can perform as well their wet counterparts with careful screening and attention to the bandwidth of interest.
520 # $a Neurologists, neuroscientists, and experimental psychologists study electrical activity within the brain by recording voltage fluctuations at the scalp. This is electroencephalography (EEG). In conventional or "wet" EEG, scalp abrasion and use of electrolytic paste are required to insure good electrical connection between sensor and skin. Repeated abrasion quickly becomes irritating to subjects, severely limiting the number and frequency of sessions. Several groups have produced "dry" EEG sensors that do not require abrasion or conductive paste. These, in addition to sidestepping the issue of abrasion, promise to reduce setup time from about 30 minutes with a technician to less than 30 seconds without one. The availability of such an instrument would (1) reduce the cost of brain-related medical care, (2) lower the barrier of entry on brain experimentation, and (3) allow individual subjects to contribute substantially more data without fear of abrasion or fatigue.
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