Sikdar Debdeep, Roy Rinku, Bakshi Koushik, Mahadevappa Manjunatha
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:1-4. doi: 10.1109/EMBC.2018.8512579.
In Brain Computer Interfacing (BCI), speech imagery is still at nascent stage of development. There are few studies reported considering mostly vowels or monosyllabic words. However, language specific vowels or words made it harder to standardise the whole analysis of electroencephalography (EEG) while distinguishing between them. Through this study, we have explored significance of multifractal parameters for different imagined vowels chosen from International Phonetic Alphabets (IPA). The vowels were categorised into two categories, namely, soft vowels and diphthongs. Multifractal analysis at EEG subband levels were evaluated. We have also reported significant contrasts between spatiotemporal distributions with fractal analysis for activation of different brain regions in imagining vowels.
在脑机接口（BCI）中，言语想象仍处于发展的初期阶段。已报道的研究较少，且大多考虑元音或单音节词。然而，特定语言的元音或单词使得在区分它们时，对脑电图（EEG）的整体分析难以标准化。通过本研究，我们探讨了从国际音标（IPA）中选取的不同想象元音的多重分形参数的意义。这些元音被分为两类，即软元音和双元音。评估了EEG子带水平的多重分形分析。我们还报告了在想象元音时，不同脑区激活的时空分布与分形分析之间的显著差异。
