Ensemble-based feature engineering mechanism to decode imagined speech from brain signals
-
Published:2024
Issue:
Volume:47
Page:101491
-
ISSN:2352-9148
-
Container-title:Informatics in Medicine Unlocked
-
language:en
-
Short-container-title:Informatics in Medicine Unlocked
Author:
Shah Uzair,
Alzubaidi MahmoodORCID,
Mohsen Farida,
Alam Tanvir,
Househ Mowafa
Funder
Qatar National Library
Reference36 articles.
1. A communication paradigm using subvocalized speech: translating brain signals into speech;Mohanchandra;Augment Hum Res,2016
2. A novel approach to EEG speech activity detection with visual stimuli and mobile BCI;Koctúrová;Appl Sci,2021
3. Decoding imagined speech based on deep metric learning for intuitive BCI communication;Lee;IEEE Trans Neural Syst Rehabil Eng,2021
4. EEG signal classification of imagined speech based on Riemannian distance of correntropy spectral density;Bakhshali;Biomed Signal Process Control,2020
5. Balaji Adithya, Cruz-Almeida Yuridia, Tzovara Athina, Rossetti Andrea O, Silvoni Stefano, Cohen Leonardo G, et al. EEG-based classification of bilingual unspoken speech using ANN. In: 2017 39th annual international conference of the IEEE engineering in medicine and biology society. EMBC, 2017, p. 1022–5.