Localization and classification of phonemes using high spatial resolution electrocorticography (ECoG) grids

被引：56

作者：

Blakely, Timothy ^{[1
]}

Miller, Kai J. ^{[2
]}

Rao, Rajesh P. N. ^{[3
]}

Holmes, Mark D.

Ojemann, Jeffrey G. ^{[4
]}

机构：

[1] Washington Univ, Dept Bioengn, St Louis, MO 63130 USA

[2] Univ Washington, Dept Phys, Seattle, WA 98195 USA

[3] Univ Washington, Dept Comp Sci & Engn, Seattle, WA 98195 USA

[4] Univ Washington, Dept Neurol Surg, Seattle, WA 98195 USA

来源：

2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 | 2008年

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/IEMBS.2008.4650328

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We present results of cortical activity during phoneme pronunciation, recorded using miniaturized electrocorticography grids with high spatial resolution. A patient implanted with the miniature grid was instructed to audibly pronounce one of four phonemes. For each phoneme, we observed distinct spatial correlation patterns at the 3mm electrode spacing. We applied a support vector machine classification scheme and, for the first time, were able to distinguish discrete phonemes with high accuracy. In addition, we found that sub-regions of our miniature array were specific for distinct pairs of phonemes, showing that cortical phoneme processing occurs at a higher resolution than previously though.

引用

页码：4964 / +

页数：3

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