Spoken sentences decoding based on intracranial high gamma response using dynamic time warping

In this study, we explore the discriminability of high gamma activities from speech production cortex during the overt articulation of two sentences. Neural activities were recorded from one intracranial electrode placed approximately over the posterior part of the inferior frontal gyrus. By employi...

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Bibliographic Details
Published in:2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2012-01, Vol.2012, p.3292-3295
Main Authors: Zhang, Dan, Gong, Enhao, Wu, Wei, Lin, Jiuluan, Zhou, Wenjing, Hong, Bo
Format: Article
Language:English
Subjects:
Correlation
Electrodes
Electroencephalography
Humans
Oscillators
Production
Speech
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Summary:In this study, we explore the discriminability of high gamma activities from speech production cortex during the overt articulation of two sentences. Neural activities were recorded from one intracranial electrode placed approximately over the posterior part of the inferior frontal gyrus. By employing a dynamic time warping (DTW) method to realign single-trial high gamma response during speech productions, averaged temporal activation patterns corresponding to the two spoken sentences were obtained. Single-trial ECoG responses were subsequently classified according to their correlations with these two temporal activation patterns. On average, 77.5% of the trials were correctly classified, which was much higher than the chance-level performance of the SVM classifier without DTW. Our preliminary results shed light on the construction of cortical speech brain-computer interfaces on the sentence level.
ISSN:1094-687X
1558-4615
2694-0604
DOI:10.1109/EMBC.2012.6346668