scholarly journals Clustering Brain Signals: a Robust Approach Using Functional Data Ranking

2020 ◽  
Author(s):  
Tianbo Chen ◽  
Ying Sun ◽  
Carolina Euan ◽  
Hernando Ombao
Keyword(s):  
Functional Data ◽  
Robust Approach ◽  
Brain Signals

NON-INVASIVE BCI METHOD: EEG - ELECTROENCEPHALOGRAPHY

2019 ◽  
pp. 139-145
Author(s):  
Selma Büyükgöze
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Electrode Placement ◽  
Eeg Signals ◽  
Non Invasive ◽  
Brain Signals ◽  
Brain States ◽  
The Brain

Brain Computer Interface consists of hardware and software that convert brain signals into action. It changes the nerves, muscles, and movements they produce with electro-physiological signs. The BCI cannot read the brain and decipher the thought in general. The BCI can only identify and classify specific patterns of activity in ongoing brain signals associated with specific tasks or events. EEG is the most commonly used non-invasive BCI method as it can be obtained easily compared to other methods. In this study; It will be given how EEG signals are obtained from the scalp, with which waves these frequencies are named and in which brain states these waves occur. 10-20 electrode placement plan for EEG to be placed on the scalp will be shown.

73-OR: Gut–Brain Signals That Regulate Hunger

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 73-OR
Author(s):  
ZACHARY KNIGHT
Keyword(s):  
Brain Signals

Hand Shape Coding: A Robust Approach for Human Identity Verification

2014 ◽  
Vol 1 (3) ◽  
pp. 8-17
Author(s):  
Shefali Sharma ◽  
◽  
Ashutosh Kumar Singh ◽  
Rajiv Saxena ◽  
◽  
...  
Keyword(s):  
Human Identity ◽  
Identity Verification ◽  
Robust Approach ◽  
Hand Shape ◽  
Shape Coding

Strongly robust approach for temperature monitoring of power cable joint

2019 ◽  
Vol 13 (8) ◽  
pp. 1324-1331 ◽  
Author(s):  
Liezheng Tang ◽  
Jiangjun Ruan ◽  
Zhibin Qiu ◽  
Chao Liu ◽  
Ke Tang
Keyword(s):  
Temperature Monitoring ◽  
Power Cable ◽  
Robust Approach
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