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 feature extraction techniques have been used to study such motor activity of upper limbs whereas phase synchrony, used to estima...
Saved in:
Main Authors: | Chouhan, Tushar, Robinson, Neethu, Vinod, A. P., Ang, Kai Keng, Guan, Cuntai |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/139485 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Emerging trends in BCI-robotics for motor control and rehabilitation
by: Robinson, Neethu, et al.
Published: (2024) -
Adaptive transfer learning for EEG motor imagery classification with deep convolutional neural network
by: Zhang, Kaishuo, et al.
Published: (2022) -
Discriminative Ocular Artifact Correction for Feature Learning in EEG Analysis
by: Li, Xinyang, et al.
Published: (2018) -
Design considerations for long term non-invasive brain computer interface training with tetraplegic CYBATHLON pilot
by: Robinson, Neethu, et al.
Published: (2022) -
Neurophysiological predictors and spectro-spatial discriminative features for enhancing SMR-BCI
by: Robinson, Neethu, et al.
Published: (2020)