Temporal and spatial complexity measures for electroencephalogram based brain-computer interfacing.

Temporal and spatial complexity measures for electroencephalogram based brain-computer interfacing.

There has been much interest recently in the concept of using information from the motor cortex region of the brain, recorded using non-invasive scalp electrodes, to construct a crude interface with a computer. It is known that movements of the limbs, for example, are accompanied by desynchronisatio...

Fuld beskrivelse

Bibliografiske detaljer
Main Authors:	Roberts, S, Penny, W, Rezek, I
Format:	Journal article
Sprog:	English
Udgivet:	1999

Lignende værker

Electroencephalogram mental tasks brain - computer interface /
af: 567156 Salwani Mohd. Daud, et al.
Udgivet: (2007)

Brain Computer Interface for Neurodegenerative Person Using Electroencephalogram
af: Li Junwei, et al.
Udgivet: (2019-01-01)

Feasibility of Equivalent Dipole Models for Electroencephalogram-Based Brain Computer Interfaces
af: Paul H. Schimpf
Udgivet: (2017-09-01)

A Review on Electroencephalogram Based Brain Computer Interface for Elderly Disabled
af: Xin Wan, et al.
Udgivet: (2019-01-01)

Electroencephalogram mental tasks brain - computer interface [electronic resource] /
af: 567156 Salwani Mohd. Daud, et al.
Udgivet: (2007)

Transposed Convolution as Alternative Preprocessor for Brain-Computer Interface Using Electroencephalogram
af: Kenshi Machida, et al.
Udgivet: (2023-03-01)

Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review
af: Wenjie Jin, et al.
Udgivet: (2024-09-01)

Electroencephalogram-Based Brain–Computer Interface and Lower-Limb Prosthesis Control: A Case Study
af: Douglas P. Murphy, et al.
Udgivet: (2017-12-01)

Feature extraction and translation of electroencephalogram signals in humans for noninvasive brain - computer interface /
af: Siti Zuraimi Salleh, 1984-, author, et al.
Udgivet: (2008)

High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing
af: Seitaro Iwama, et al.
Udgivet: (2023-06-01)

Machine learning techniques for electroencephalogram based brain-computer interface: A systematic literature review
af: Pawan, et al.
Udgivet: (2023-08-01)

Electroencephalogram channel selection based on pearson correlation coefficient for motor imagery-brain-computer interface
af: Pawan, et al.
Udgivet: (2023-02-01)

Real-time brain-computer interfacing: a preliminary study using Bayesian learning.
af: Roberts, S, et al.
Udgivet: (2000)

A Novel Classification Framework Using the Graph Representations of Electroencephalogram for Motor Imagery Based Brain-Computer Interface
af: Jing Jin, et al.
Udgivet: (2022-01-01)

Electroencephalogram signal analysis with 1T1R arrays toward high-efficiency brain computer interface
af: Peiwen Tong, et al.
Udgivet: (2022-12-01)

Investigating the Effect of Stimulus Type on Electroencephalogram Signal in a Brain-Computer Interface System with Interaction Error
af: Sara Sepehri Shakib, et al.
Udgivet: (2022-03-01)

Emotion recognition based on microstate analysis from temporal and spatial patterns of electroencephalogram
af: Zhen Wei, et al.
Udgivet: (2024-03-01)

Recent Progress in Wearable Brain–Computer Interface (BCI) Devices Based on Electroencephalogram (EEG) for Medical Applications: A Review
af: Jiayan Zhang, et al.
Udgivet: (2023-01-01)

Stochastic complexity measures for physiological signal analysis.
af: Rezek, I, et al.
Udgivet: (1998)

A spatial-temporal linear feature learning algorithm for P300-based brain-computer interfaces
af: Seyedeh Nadia Aghili, et al.
Udgivet: (2023-04-01)

High-Density Electroencephalogram Facilitates the Detection of Small Stimuli in Code-Modulated Visual Evoked Potential Brain–Computer Interfaces
af: Qingyu Sun, et al.
Udgivet: (2024-05-01)

Complexity Measures for Quantifying Changes in Electroencephalogram in Alzheimer’s Disease
af: Ali H. Husseen Al-Nuaimi, et al.
Udgivet: (2018-01-01)

Cognitive tasks for driving a brain-computer interfacing system: a pilot study.
af: Curran, E, et al.
Udgivet: (2004)

The electroencephalogram in metastatic brain tumors
af: P. Pinto Pupo, et al.
Udgivet: (1967-12-01)

A novel brain-computer interface based on audio-assisted visual evoked EEG and spatial-temporal attention CNN
af: Guijun Chen, et al.
Udgivet: (2022-09-01)

Video electroencephalogram telemetry in temporal lobe epilepsy
af: Jayanti Mani
Udgivet: (2014-01-01)

Temporal and spatial dynamic propagation of electroencephalogram by combining power spectral and synchronization in childhood absence epilepsy
af: Lisha Zhong, et al.
Udgivet: (2022-08-01)

Brain Complex Network Characteristic Analysis of Fatigue during Simulated Driving Based on Electroencephalogram Signals
af: Chunxiao Han, et al.
Udgivet: (2019-04-01)

Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers
af: Al-Qazzaz, Noor Kamal, et al.
Udgivet: (2020)

Transformed common spatial pattern for motor imagery-based brain-computer interfaces
af: Zhen Ma, et al.
Udgivet: (2023-03-01)

Brain-Computer Interface using neural network and temporal-spectral features
af: Gan Wang, et al.
Udgivet: (2022-10-01)

Electroencephalogram-Based Brain Connectivity Analysis in Prolonged Disorders of Consciousness
af: Yuzhang Wu, et al.
Udgivet: (2023-01-01)

Derivative parameters of electroencephalograms and their measurement methods
af: Andrius Vytautas Misiukas Misiūnas, et al.
Udgivet: (2016-12-01)

Measuring neuronal avalanches to inform brain-computer interfaces
af: Marie-Constance Corsi, et al.
Udgivet: (2024-01-01)

Learning temporal information for brain-computer interface using convolutional neural networks
af: Sakhavi, Siavash, et al.
Udgivet: (2018)

Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces
af: Xiuyu Huang, et al.
Udgivet: (2023-01-01)

Electroencephalogram Source Imaging and Brain Network Based Natural Grasps Decoding
af: Baoguo Xu, et al.
Udgivet: (2021-11-01)

Brain-computer interface /
af: George, Louis, editor
Udgivet: (2015)

Bayesian Approaches to Gaussian Mixture Modeling.
af: Roberts, S, et al.
Udgivet: (1998)

The use of advanced information processing methods in EEG analysis
af: Roberts, S, et al.
Udgivet: (1998)