[HTML][HTML] Enhancing performance of a hybrid EEG-fNIRS system using channel selection and early temporal features
Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic
applications. A desirable BCI system should be portable, minimally invasive, and feature …
applications. A desirable BCI system should be portable, minimally invasive, and feature …
[HTML][HTML] Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early Temporal Features
R Li, T Potter, W Huang, Y Zhang - Frontiers in Human …, 2017 - ncbi.nlm.nih.gov
Abstract Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic
applications. A desirable BCI system should be portable, minimally invasive, and feature …
applications. A desirable BCI system should be portable, minimally invasive, and feature …
Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early Temporal Features
R Li, T Potter, W Huang… - Frontiers in human …, 2017 - pubmed.ncbi.nlm.nih.gov
Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic
applications. A desirable BCI system should be portable, minimally invasive, and feature …
applications. A desirable BCI system should be portable, minimally invasive, and feature …
Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early Temporal Features.
R Li, T Potter, W Huang… - Frontiers in Human …, 2017 - search.ebscohost.com
Abstract Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic
applications. A desirable BCI system should be portable, minimally invasive, and feature …
applications. A desirable BCI system should be portable, minimally invasive, and feature …
Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early Temporal Features.
R Li, T Potter, W Huang, Y Zhang - Frontiers in Human …, 2017 - europepmc.org
Abstract Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic
applications. A desirable BCI system should be portable, minimally invasive, and feature …
applications. A desirable BCI system should be portable, minimally invasive, and feature …
Enhancing performance of a hybrid eeg-fnirs system using channel selection and early temporal features.
R Li, T Potter, W Huang, Y Zhang - Frontiers in Human …, 2017 - psycnet.apa.org
Abstract Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic
applications. A desirable BCI system should be portable, minimally invasive, and feature …
applications. A desirable BCI system should be portable, minimally invasive, and feature …
Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early Temporal Features
R Li, T Potter, W Huang… - Frontiers in Human …, 2017 - search.proquest.com
Abstract Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic
applications. A desirable BCI system should be portable, minimally invasive, and feature …
applications. A desirable BCI system should be portable, minimally invasive, and feature …
[引用][C] Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early Temporal Features
R Li, T Potter, W Huang, Y Zhang - Frontiers in Human Neuroscience, 2017 - cir.nii.ac.jp
Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early
Temporal Features | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …
Temporal Features | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …
Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early Temporal Features.
R Li, T Potter, W Huang, Y Zhang - Frontiers in Human …, 2017 - europepmc.org
Abstract Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic
applications. A desirable BCI system should be portable, minimally invasive, and feature …
applications. A desirable BCI system should be portable, minimally invasive, and feature …