@inproceedings{9189dce547d44173910ff11e0b136fc5,
title = "Time-varying parametric modeling of ECoG for syllable decoding",
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.",
keywords = "Brain machine interface, Electrocorticography, Speech rehabilitation, Time-varying autoregressive mode",
author = "Kanas, {Vasileios G.} and Iosif Mporas and Milsap, {Griffin W.} and Sgarbas, {Kyriakos N.} and Crone, {Nathan E.} and Anastasios Bezerianos",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Brain Informatics and Health, BIH 2015 ; Conference date: 30-08-2015 Through 02-09-2015",
year = "2015",
doi = "10.1007/978-3-319-23344-4_22",
language = "English (US)",
isbn = "9783319233437",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "222--231",
editor = "{Guo Y.}, Yike and {Hill S.}, Sean and Karl Friston and Hanchuan Peng and {Faisal A.}, Aldo",
booktitle = "Brain Informatics and Health - 8th International Conference, BIH 2015, Proceedings",
}