Cargando…

Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface

Motor imagery (MI)-based brain-computer interface (BCI) systems have shown promising advances for lower limb motor rehabilitation. The purpose of this study was to develop an MI-based BCI for the actions of standing and sitting. Thirty-two healthy subjects participated in the study using 17 active E...

Descripción completa

Detalles Bibliográficos
Autores principales:	Triana-Guzman, Nayid, Orjuela-Cañon, Alvaro D., Jutinico, Andres L., Mendoza-Montoya, Omar, Antelis, Javier M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481272/ https://www.ncbi.nlm.nih.gov/pubmed/36120085 http://dx.doi.org/10.3389/fninf.2022.961089

Ejemplares similares

Across-subject offline decoding of motor imagery from MEG and EEG
por: Halme, Hanna-Leena, et al.
Publicado: (2018)

Publisher Correction: Across-subject offline decoding of motor imagery from MEG and EEG
por: Halme, Hanna-Leena, et al.
Publicado: (2018)

Multi-Class Motor Imagery EEG Decoding for Brain-Computer Interfaces
por: Wang, Deng, et al.
Publicado: (2012)

Sitting and standing intention can be decoded from scalp EEG recorded prior to movement execution
por: Bulea, Thomas C., et al.
Publicado: (2014)

Data augmentation strategies for EEG-based motor imagery decoding
por: George, Olawunmi, et al.
Publicado: (2022)

Massage Therapy’s Effectiveness on the Decoding EEG Rhythms of Left/Right Motor Imagery and Motion Execution in Patients With Skeletal Muscle Pain
Publicado: (2021)

Resting-State EEG in Alpha Rhythm May Be Indicative of the Performance of Motor Imagery-Based Brain–Computer Interface
por: Wang, Kun, et al.
Publicado: (2022)

Machine learning in the loop for tuberculosis diagnosis support
por: Orjuela-Cañón, Alvaro D., et al.
Publicado: (2022)

A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network
por: Chu, Yaqi, et al.
Publicado: (2018)

Conditional Adversarial Domain Adaptation Neural Network for Motor Imagery EEG Decoding
por: Tang, Xingliang, et al.
Publicado: (2020)

EEG datasets for motor imagery brain–computer interface
por: Cho, Hohyun, et al.
Publicado: (2017)

Stand Up to Excite the Spine: Neuromuscular, Autonomic, and Cardiometabolic Responses During Motor Imagery in Standing vs. Sitting Posture
por: Grosprêtre, Sidney, et al.
Publicado: (2021)

Sleep physiological network analysis in children
por: Orjuela-Cañón, Alvaro David, et al.
Publicado: (2022)

Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space
por: Xygonakis, Ioannis, et al.
Publicado: (2018)

Decoding of Motor Coordination Imagery Involving the Lower Limbs by the EEG-Based Brain Network
por: Fu, Yunfa, et al.
Publicado: (2021)

EEG-Based Brain-Computer Interface for Decoding Motor Imagery Tasks within the Same Hand Using Choi-Williams Time-Frequency Distribution
por: Alazrai, Rami, et al.
Publicado: (2017)

Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals
por: Tayeb, Zied, et al.
Publicado: (2019)

A Two-Branch CNN Fusing Temporal and Frequency Features for Motor Imagery EEG Decoding
por: Yang, Jun, et al.
Publicado: (2022)

A Parallel Feature Fusion Network Combining GRU and CNN for Motor Imagery EEG Decoding
por: Gao, Siheng, et al.
Publicado: (2022)

Closed-loop motor imagery EEG simulation for brain-computer interfaces
por: Shin, Hyonyoung, et al.
Publicado: (2022)

Study of acceleration of center of mass during sit-to-stand and stand-to-sit in patients with stroke
por: Na, Eunjin, et al.
Publicado: (2016)

Validation of the VitaBit Sit–Stand Tracker: Detecting Sitting, Standing, and Activity Patterns
por: Berninger, Nathalie M., et al.
Publicado: (2018)

Comparing offline decoding performance in physiologically defined neuronal classes
por: Best, Matthew D, et al.
Publicado: (2016)

Dry EEG measurement of P3 to evaluate cognitive load during sitting, standing, and walking
por: Swerdloff, Margaret M., et al.
Publicado: (2023)

Directional Decoding From EEG in a Center-Out Motor Imagery Task With Visual and Vibrotactile Guidance
por: Hehenberger, Lea, et al.
Publicado: (2021)

The sitting vs standing spine()
por: Tsagkaris, Christos, et al.
Publicado: (2022)

Sliding and Lower Limb Mechanics during Sit-Stand-Sit Transitions with a Standing Wheelchair
por: Yang, Yu-Sheng, et al.
Publicado: (2014)

Breaking of Sitting Time Prevents Lower Leg Swelling—Comparison among Sit, Stand and Intermittent (Sit-to-Stand Transitions) Conditions
por: Francisco, Rúben, et al.
Publicado: (2022)

Effects of Motor Imagery Tasks on Brain Functional Networks Based on EEG Mu/Beta Rhythm
por: Yu, Hongli, et al.
Publicado: (2022)

Decoding the EEG patterns induced by sequential finger movement for brain-computer interfaces
por: Liu, Chang, et al.
Publicado: (2023)

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges
por: Padfield, Natasha, et al.
Publicado: (2019)

A Densely Connected Multi-Branch 3D Convolutional Neural Network for Motor Imagery EEG Decoding
por: Liu, Tianjun, et al.
Publicado: (2021)

Rollator usage lets young individuals switch movement strategies in sit-to-stand and stand-to-sit tasks
por: Herzog, Michael, et al.
Publicado: (2023)

Analysis of inter-joint coordination during the sit-to-stand and stand-to-sit tasks in stroke patients with hemiplegia
por: He, Jian, et al.
Publicado: (2023)

Deep Learning Based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces
por: Roy, Sujit, et al.
Publicado: (2020)

Application of Continuous Wavelet Transform and Convolutional Neural Network in Decoding Motor Imagery Brain-Computer Interface
por: Lee, Hyeon Kyu, et al.
Publicado: (2019)

The effects of vision on sit-to-stand movement
por: Siriphorn, Akkradate, et al.
Publicado: (2015)

Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
por: Khan, M. Jawad, et al.
Publicado: (2014)

Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review
por: Zhang, Kai, et al.
Publicado: (2020)

Time series forecasting for tuberculosis incidence employing neural network models
por: Orjuela-Cañón, Alvaro David, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_db9ukh24b3t2g4dpc243fe38cd