4.5 Article

Detection of motor imagery based on short-term entropy of time-frequency representations

Related references

Note: Only part of the references are listed.
Review Neurosciences

Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control

Gernot R. Mueller-Putz et al.

Summary: The aim of this study was to establish the basic knowledge, methodology, and technology for decoding hand/arm movement intention in a continuous manner. The researchers reviewed the studies and methods implemented in the last 6 years, which enabled severely paralyzed individuals to control a robotic arm in real-time using EEG. Although some approaches have been tested with the target populations, further evaluation and improvement are still needed.

FRONTIERS IN HUMAN NEUROSCIENCE (2022)

Article Green & Sustainable Science & Technology

Exploring the Visual Guidance of Motor Imagery in Sustainable Brain-Computer Interfaces

Cheng Yang et al.

Summary: Motor imagery brain-computer interface (MI-BCI) systems have the potential to restore motor function and enable individuals with motor and sensory impairments to live independently. This study explores the effects of visual guidance with different levels of abstraction on brain activity, mental load, and MI-BCI performance. The results show that low-level abstraction visual guidance can enhance brain activity and reduce mental load, leading to improved accuracy in MI classification.

SUSTAINABILITY (2022)

Article Neurosciences

Directional Decoding From EEG in a Center-Out Motor Imagery Task With Visual and Vibrotactile Guidance

Lea Hehenberger et al.

Summary: The study found that directional information in low-frequency electroencephalographic amplitudes is retained during motor imagery, and providing vibrotactile guidance appears to have an enhancing effect on motor-related mu and beta spectral features.

FRONTIERS IN HUMAN NEUROSCIENCE (2021)

Article Engineering, Biomedical

Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering

Ji-Hoon Jeong et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2020)

Article Engineering, Biomedical

Assessing the impact of vibrotactile kinaesthetic feedback on electroencephalographic signals in a center-out task

Lea Hehenberger et al.

JOURNAL OF NEURAL ENGINEERING (2020)

Article Computer Science, Artificial Intelligence

An entropy fusion method for feature extraction of EEG

Shunfei Chen et al.

NEURAL COMPUTING & APPLICATIONS (2018)

Article Multidisciplinary Sciences

Upper limb movements can be decoded from the time-domain of low-frequency EEG

Patrick Ofner et al.

PLOS ONE (2017)

Proceedings Paper Neurosciences

Do not Move! Entropy Driven Detection of Intentional Non-control During Online SMR-BCI Operations

L. Tonin et al.

CONVERGING CLINICAL AND ENGINEERING RESEARCH ON NEUROREHABILITATION II, VOLS 1 AND 2 (2017)

Article Multidisciplinary Sciences

Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks

Jianjun Meng et al.

SCIENTIFIC REPORTS (2016)

Review Engineering, Electrical & Electronic

Time-frequency features for pattern recognition using high-resolution TFDs: A tutorial review

Boualem Boashash et al.

DIGITAL SIGNAL PROCESSING (2015)

Article Biochemical Research Methods

A practical guide to the selection of independent components of the electroencephalogram for artifact correction

Maximilien Chaumon et al.

JOURNAL OF NEUROSCIENCE METHODS (2015)

Article Engineering, Electrical & Electronic

Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms

Bin He et al.

PROCEEDINGS OF THE IEEE (2015)

Article Engineering, Biomedical

Brain-Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives

Han Yuan et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)

Article Engineering, Biomedical

Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller

S. Perdikis et al.

JOURNAL OF NEURAL ENGINEERING (2014)

Article Engineering, Biomedical

An Online Semi-supervised Brain-Computer Interface

Zhenghui Gu et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)

Article Engineering, Biomedical

A Unified Probabilistic Approach to Improve Spelling in an Event-Related Potential-Based Brain-Computer Interface

Pieter-Jan Kindermans et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)

Article Engineering, Biomedical

SSVEP-Based Brain-Computer Interfaces Using FSK-Modulated Visual Stimuli

Yosuke Kimura et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)

Article Engineering, Biomedical

P300-Based Brain-Neuronal Computer Interaction for Spelling Applications

C. -C. Postelnicu et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)

Article Engineering, Biomedical

A Hybrid BCI System Combining P300 and SSVEP and Its Application to Wheelchair Control

Yuanqing Li et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)

Article Engineering, Biomedical

Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain-computer interface

Karl LaFleur et al.

JOURNAL OF NEURAL ENGINEERING (2013)

Article Engineering, Biomedical

EEG Control of a Virtual Helicopter in 3-Dimensional Space Using Intelligent Control Strategies

Audrey S. Royer et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2010)

Article Robotics

Electroencephalogram-based control of an electric wheelchair

K Tanaka et al.

IEEE TRANSACTIONS ON ROBOTICS (2005)

Article Engineering, Electrical & Electronic

Minimum entropy time-frequency distributions

S Aviyente et al.

IEEE SIGNAL PROCESSING LETTERS (2005)

Article Biochemical Research Methods

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

A Delorme et al.

JOURNAL OF NEUROSCIENCE METHODS (2004)

Article Engineering, Biomedical

Virtual keyboard controlled by spontaneous EEG activity

B Obermaier et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2003)

Article Computer Science, Information Systems

Measuring time-frequency information content using the Renyi entropies

RG Baraniuk et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2001)

Article Engineering, Biomedical

Brain-computer interfaces based on the steady-state visual-evoked response

M Middendorf et al.

IEEE TRANSACTIONS ON REHABILITATION ENGINEERING (2000)