Narrow window feature extraction for EEG-motor imagery classification using k-NN and voting scheme
Achieving consistent accuracy still big challenge in EEG based Motor Imagery classification
since the nature of EEG signal is non-stationary, intra-subject and inter-subject dependent …
since the nature of EEG signal is non-stationary, intra-subject and inter-subject dependent …
Features Domains and Classification Algorithms in Motor Imagery Brain Computer Interface
W Yuan - 2022 2nd International Conference on Electronic …, 2022 - ieeexplore.ieee.org
Motor imagery brain-computer interface (MI-BCI) is well approved to help people with
movement impairments due to neural disorders. The procedure for MI-BCI to translate MI …
movement impairments due to neural disorders. The procedure for MI-BCI to translate MI …
[图书][B] Development of advanced machine learning based EEG robot for disabled people
Y An - 2022 - search.proquest.com
In the world, about 15% of the world's population lives with some form of disability, of whom
2-4% experience significant difficulties in functioning. Brain-Computer Interface (BCI) is one …
2-4% experience significant difficulties in functioning. Brain-Computer Interface (BCI) is one …
Feature representation frameworks for decoding brain motor imagery patterns
FY Zapata Castaño - repositorio.unal.edu.co
The EEG recording records the electrical activity of the brain and measures activity with
electrodes on the scalp; This record is the most widely used in the clinical and research …
electrodes on the scalp; This record is the most widely used in the clinical and research …
[PDF][PDF] Bukti Korespondensi karya ilmiah
A Vega Vitianingsih - repository.unitomo.ac.id
Pertussis is an illness caused by a throat infection from Bordetella pertussis bacteria. Every
year, areas vulnerable to Pertussis have increased, which can lead to extraordinary …
year, areas vulnerable to Pertussis have increased, which can lead to extraordinary …
[PDF][PDF] SENN: Self-evolving Neural Network to Recognize Motor Imagery Thought Patterns.
S Chug, V Agarwal - IJCCI, 2022 - scitepress.org
The EEG-based motor imagery task classification has been a challenge for researchers due
to the complex nature of EEG data. Human thoughts are a complex combination of different …
to the complex nature of EEG data. Human thoughts are a complex combination of different …
Relevance of common spatial patterns ranked by kernel PCA in motor imagery classification
LF Velasquez-Martinez, D Luna-Naranjo… - Brain Informatics: 12th …, 2019 - Springer
Motor Imagery handles the brain activity patterns of motor action without explicit movements.
For extracting the discriminating features, Common Spatial Patterns are the most widely …
For extracting the discriminating features, Common Spatial Patterns are the most widely …
[PDF][PDF] Research Article EEG Feature Extraction Using Evolutionary Algorithms for Brain-Computer Interface Development
JC Elizondo-Leal, VP Saldivar-Alonso… - 2022 - academia.edu
Brain–computer interfaces are systems capable of mapping brain activity to specific
commands, which enables to remotely automate different types of processes in hardware …
commands, which enables to remotely automate different types of processes in hardware …
A Dual Filter-based Channel Selection for Classification of Motor Imagery EEG
D Lee, HJ Lee, SH Park, SG Lee - Journal of KIISE, 2017 - koreascience.kr
Brain-computer interface (BCI) is a technology that controls computer and transmits intention
by measuring and analyzing electroencephalogram (EEG) signals generated in multi …
by measuring and analyzing electroencephalogram (EEG) signals generated in multi …
Neurochat: design of brain computer interface system based on implantable electrode
F Mai, W Qu, M Luo - 4th International Symposium on Power …, 2021 - spiedigitallibrary.org
The brain-computer interface can create a connection between the central nervous system
of a human or animal and an external device to exchange information. We designed a …
of a human or animal and an external device to exchange information. We designed a …