A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications
Abstract Background and Objective: Motor Imagery (MI) based Brain-Computer-Interface
(BCI) is a rising support system that can assist disabled people to communicate with the real …
(BCI) is a rising support system that can assist disabled people to communicate with the real …
EEG-based classification of fast and slow hand movements using wavelet-CSP algorithm
A brain-computer interface (BCI) acquires brain signals, extracts informative features, and
translates these features to commands to control an external device. This paper investigates …
translates these features to commands to control an external device. This paper investigates …
High accuracy decoding of motor imagery directions from EEG-based brain computer interface using filter bank spatially regularised common spatial pattern method
One of the important requirements of a practical Brain Computer Interface (BCI) system is the
ability to establish multiple control commands corresponding to different kinematics of motor …
ability to establish multiple control commands corresponding to different kinematics of motor …
Decoding coordinated directions of bimanual movements from EEG signals
Bimanual coordination is common in human daily life, whereas current research focused
mainly on decoding unimanual movement from electroencephalogram (EEG) signals. Here …
mainly on decoding unimanual movement from electroencephalogram (EEG) signals. Here …
Wavlet phase-locking based binary classification of hand movement directions from EEG
Objective. Brain signals can be used to extract relevant features to decode various limb
movement parameters such as the direction of upper limb movements. Amplitude based …
movement parameters such as the direction of upper limb movements. Amplitude based …
Biologically-inspired legged robot locomotion controlled with a BCI by means of cognitive monitoring
P Batres-Mendoza, EI Guerra-Hernandez… - IEEE …, 2021 - ieeexplore.ieee.org
Brain-computer interfaces (BCI) are a mechanism to record the electrical signals of the brain
and translate them into commands to operate an output device like a robotic system. This …
and translate them into commands to operate an output device like a robotic system. This …
Analysis of Time—Frequency EEG Feature Extraction Methods for Mental Task Classification
C Uyulan, TT Erguzel - International Journal of Computational Intelligence …, 2017 - Springer
Many endogenous and external components may affect the physiological, mental and
behavioral states in humans. Monitoring tools are required to evaluate biomarkers, identify …
behavioral states in humans. Monitoring tools are required to evaluate biomarkers, identify …
Classification of motor imagery hand movement directions from EEG extracted phase locking value features for brain computer interfaces
VK Benzy, AP Vinod - TENCON 2019-2019 IEEE Region 10 …, 2019 - ieeexplore.ieee.org
Brain-Computer Interface (BCI) systems translate the users intentions coded by brain activity
measures into actions through a control signal without using activity of any muscles or …
measures into actions through a control signal without using activity of any muscles or …
Classification of Hand Grasp Kinetics and Types Using Movement‐Related Cortical Potentials and EEG Rhythms
M Jochumsen, C Rovsing, H Rovsing… - Computational …, 2017 - Wiley Online Library
Detection of single‐trial movement intentions from EEG is paramount for brain‐computer
interfacing in neurorehabilitation. These movement intentions contain task‐related …
interfacing in neurorehabilitation. These movement intentions contain task‐related …
Capturing spike train temporal pattern with wavelet average coefficient for brain machine interface
Motor brain machine interfaces (BMIs) directly link the brain to artificial actuators and have
the potential to mitigate severe body paralysis caused by neurological injury or disease …
the potential to mitigate severe body paralysis caused by neurological injury or disease …