scholarly journals EEG Signals Denoising Using Optimal Wavelet Transform Hybridized With Efficient Metaheuristic Methods

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 10584-10605 ◽  
Author(s):  
Zaid Abdi Alkareem Alyasseri ◽  
Ahamad Tajudin Khader ◽  
Mohammed Azmi Al-Betar ◽  
Ammar Kamal Abasi ◽  
Sharif Naser Makhadmeh
Keyword(s):  
Wavelet Transform ◽  
Eeg Signals ◽  
Metaheuristic Methods

Cross-wavelet transform as a new prototype for classification of EEG signals

2018 ◽  
Vol 7 (3) ◽  
pp. 348-358 ◽  
Author(s):  
Priyadarshiny Dhar ◽  
Saibal Dutta ◽  
V. Mukherjee ◽  
Abhijit Dhar ◽  
Prithwiraj Das
Keyword(s):  
Wavelet Transform ◽  
Eeg Signals ◽  
Cross Wavelet Transform ◽  
Cross Wavelet

Emotion classification using EEG signals based on tunable-Q wavelet transform

2019 ◽  
Vol 13 (3) ◽  
pp. 375-380 ◽  
Author(s):  
Anala Hari Krishna ◽  
Aravapalli Bhavya Sri ◽  
Kurakula Yuva Venkata Sai Priyanka ◽  
Sachin Taran ◽  
Varun Bajaj
Keyword(s):  
Wavelet Transform ◽  
Emotion Classification ◽  
Eeg Signals

scholarly journals EEG Based Brain Computer Interfacing for Hand Assistant System Using Wavelet Transform

2020 ◽  
Vol 32 ◽  
pp. 03035
Author(s):  
Dayanand Dhongade ◽  
Mukesh Patil
Keyword(s):  
Wavelet Transform ◽  
Analog Signal ◽  
Digital Data ◽  
Robotic Hand ◽  
Eeg Signals ◽  
Arduino Uno ◽  
Brain Computer Interfacing ◽  
Low Amplitude ◽  
Near Future ◽  
Electroencephalogram Eeg

Robots have been of great use to mankind for several years. In situation where human body fails to operate as per the need robot’s functions in those situations quite efficiently. Electroencephalogram (EEG) controlled hand assistant makes use of EEG signals and Brain Computer Interface (BCI). EEG signals are obtained from the brain using Emotiv Insight headset, after which processing and features extraction of the signals is performed and then conditioning of signals is done as it is a low amplitude signal with additive noise. Signals processing is done on the analog signal by using wavelet transform. Wavelet transform will help to extract information from the analog signal. Then the signals are assigned with the signatures to perform the dedicated task Filtered signal is given to analog pins of Arduino Uno. With the help of inbuilt ADC available on Arduino Uno, Digital Data is also made available on the digital pins. Then through MATLAB access Arduino board. In near future if it gets similar kind of input it will understand exactly what operation to perform. Further the Robotic hand assistant can be operated as we want.

scholarly journals Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 171431-171451 ◽  
Author(s):  
Muhammad Tariq Sadiq ◽  
Xiaojun Yu ◽  
Zhaohui Yuan ◽  
Fan Zeming ◽  
Ateeq Ur Rehman ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Motor Imagery ◽  
Brain Computer Interfaces ◽  
Eeg Signals ◽  
Computer Interfaces ◽  
Empirical Wavelet Transform
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