Time-varying parametric modeling of ECoG for syllable decoding

Vasileios G. Kanas, Iosif Mporas, Griffin W. Milsap, Kyriakos N. Sgarbas, Nathan E. Crone, Anastasios Bezerianos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As a step toward developing neuroprostheses, the purpose of this study is to explore syllable decoding in a subject with implanted electrocorticographic (ECoG) recordings. For this study, we use ECoG signals recorded while a subject volunteered to perform a task in which the patient has been visually cued to speak isolated consonant-vowel syllables varying in their articulatory features. We propose a recursive estimation method to calculate the parametric model coefficients in each time instant and band power features from individual ECoG sites are extracted to decode the articulated syllables. Our findings may contribute to the development of brain machine interface (BMI) systems for syllable- level speech rehabilitation in handicapped individuals.

Original languageEnglish (US)
Title of host publicationBrain Informatics and Health - 8th International Conference, BIH 2015, Proceedings
EditorsYike Guo Y., Sean Hill S., Karl Friston, Hanchuan Peng, Aldo Faisal A.
PublisherSpringer Verlag
Pages222-231
Number of pages10
ISBN (Print)9783319233437
DOIs
StatePublished - Jan 1 2015
Event8th International Conference on Brain Informatics and Health, BIH 2015 - London, United Kingdom
Duration: Aug 30 2015Sep 2 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9250
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Brain Informatics and Health, BIH 2015
CountryUnited Kingdom
CityLondon
Period8/30/159/2/15

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Keywords

  • Brain machine interface
  • Electrocorticography
  • Speech rehabilitation
  • Time-varying autoregressive mode

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kanas, V. G., Mporas, I., Milsap, G. W., Sgarbas, K. N., Crone, N. E., & Bezerianos, A. (2015). Time-varying parametric modeling of ECoG for syllable decoding. In Y. Guo Y., S. Hill S., K. Friston, H. Peng, & A. Faisal A. (Eds.), Brain Informatics and Health - 8th International Conference, BIH 2015, Proceedings (pp. 222-231). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9250). Springer Verlag. https://doi.org/10.1007/978-3-319-23344-4_22