Cargando…

BCI-FES With Multimodal Feedback for Motor Recovery Poststroke

An increasing number of research teams are investigating the efficacy of brain-computer interface (BCI)-mediated interventions for promoting motor recovery following stroke. A growing body of evidence suggests that of the various BCI designs, most effective are those that deliver functional electric...

Descripción completa

Detalles Bibliográficos
Autores principales:	Remsik, Alexander B., van Kan, Peter L. E., Gloe, Shawna, Gjini, Klevest, Williams, Leroy, Nair, Veena, Caldera, Kristin, Williams, Justin C., Prabhakaran, Vivek
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Human Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296822/ https://www.ncbi.nlm.nih.gov/pubmed/35874158 http://dx.doi.org/10.3389/fnhum.2022.725715

Ejemplares similares

Ipsilesional Mu Rhythm Desynchronization Correlates With Improvements in Affected Hand Grip Strength and Functional Connectivity in Sensorimotor Cortices Following BCI-FES Intervention for Upper Extremity in Stroke Survivors
por: Remsik, Alexander B., et al.
Publicado: (2021)

DTI measures track and predict motor function outcomes in stroke rehabilitation utilizing BCI technology
por: Song, Jie, et al.
Publicado: (2015)

Ipsilesional Mu Rhythm Desynchronization and Changes in Motor Behavior Following Post Stroke BCI Intervention for Motor Rehabilitation
por: Remsik, Alexander B., et al.
Publicado: (2019)

Case report: post-stroke interventional BCI rehabilitation in an individual with preexisting sensorineural disability
por: Young, Brittany M., et al.
Publicado: (2014)

Evaluation of Changes in the Motor Network Following BCI Therapy Based on Graph Theory Analysis
por: Mazrooyisebdani, Mohsen, et al.
Publicado: (2018)

Information Bottleneck as Optimisation Method for SSVEP-Based BCI
por: Ingel, Anti, et al.
Publicado: (2021)

An online hybrid BCI combining SSVEP and EOG-based eye movements
por: Zhang, Jun, et al.
Publicado: (2023)

An open-source human-in-the-loop BCI research framework: method and design
por: Gemborn Nilsson, Martin, et al.
Publicado: (2023)

Variance characteristic preserving common spatial pattern for motor imagery BCI
por: Liang, Wei, et al.
Publicado: (2023)

Brain–Computer Interface Training after Stroke Affects Patterns of Brain–Behavior Relationships in Corticospinal Motor Fibers
por: Young, Brittany M., et al.
Publicado: (2016)

Dose-response relationships using brain–computer interface technology impact stroke rehabilitation
por: Young, Brittany M., et al.
Publicado: (2015)

Long Multi-Stage Training for a Motor-Impaired User in a BCI Competition
por: Turi, Federica, et al.
Publicado: (2021)

An Open Source-Based BCI Application for Virtual World Tour and Its Usability Evaluation
por: Woo, Sanghum, et al.
Publicado: (2021)

Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications
por: Douibi, Khalida, et al.
Publicado: (2021)

BCI-Based Consumers' Choice Prediction From EEG Signals: An Intelligent Neuromarketing Framework
por: Mashrur, Fazla Rabbi, et al.
Publicado: (2022)

Humanoid Robot Walking in Maze Controlled by SSVEP-BCI Based on Augmented Reality Stimulus
por: Zhang, Shangen, et al.
Publicado: (2022)

The Error-Related Negativity (ERN) in Anxiety and Obsessive-Compulsive Disorder (OCD): A Call for Further Investigation of Task Parameters in the Flanker Task
por: Gloe, Lilianne M., et al.
Publicado: (2021)

Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training
por: Benaroch, Camille, et al.
Publicado: (2021)

Editorial: Long Term User Training and Preparation to Succeed in a Closed-Loop BCI Competition
por: Müller-Putz, Gernot R., et al.
Publicado: (2022)

EEG-Based Brain Network Analysis of Chronic Stroke Patients After BCI Rehabilitation Training
por: Zhan, Gege, et al.
Publicado: (2022)

Editorial: Breakthrough BCI Applications in Medicine
por: Guger, Christoph, et al.
Publicado: (2020)

Hybrid EEG-fNIRS BCI Fusion Using Multi-Resolution Singular Value Decomposition (MSVD)
por: Khan, Muhammad Umer, et al.
Publicado: (2020)

Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review
por: Khan, Haroon, et al.
Publicado: (2021)

Hand-worn devices for assessment and rehabilitation of motor function and their potential use in BCI protocols: a review
por: Bates, Madison, et al.
Publicado: (2023)

Changes in functional connectivity correlate with behavioral gains in stroke patients after therapy using a brain-computer interface device
por: Young, Brittany Mei, et al.
Publicado: (2014)

Behavioral Outcomes Following Brain–Computer Interface Intervention for Upper Extremity Rehabilitation in Stroke: A Randomized Controlled Trial
por: Remsik, Alexander B., et al.
Publicado: (2018)

Independent Low-Rank Matrix Analysis-Based Automatic Artifact Reduction Technique Applied to Three BCI Paradigms
por: Kanoga, Suguru, et al.
Publicado: (2020)

Co-adaptive Training Improves Efficacy of a Multi-Day EEG-Based Motor Imagery BCI Training
por: Abu-Rmileh, Amjad, et al.
Publicado: (2019)

Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance
por: Śliwowski, Maciej, et al.
Publicado: (2023)

A gap between reasons for skilled use of BCI speech devices and reasons for utterances, with implications for speech ownership
por: Rainey, Stephen
Publicado: (2023)

Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification
por: Kim, Da-Hyun, et al.
Publicado: (2023)

Hair me out: Highlighting systematic exclusion in psychophysiological methods and recommendations to increase inclusion
por: Louis, Courtney C., et al.
Publicado: (2022)

EEG hybrid brain-computer interfaces: A scoping review applying an existing hybrid-BCI taxonomy and considerations for pediatric applications
por: Mussi, Matheus G., et al.
Publicado: (2022)

Online adaptive group-wise sparse Penalized Recursive Exponentially Weighted N-way Partial Least Square for epidural intracranial BCI
por: Moly, Alexandre, et al.
Publicado: (2023)

Wheelchair Control in a Virtual Environment by Healthy Participants Using a P300-BCI Based on Tactile Stimulation: Training Effects and Usability
por: Eidel, Matthias, et al.
Publicado: (2020)

Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity
por: Mohanty, Rosaleena, et al.
Publicado: (2018)

Early Findings on Functional Connectivity Correlates of Behavioral Outcomes of Brain-Computer Interface Stroke Rehabilitation Using Machine Learning
por: Mohanty, Rosaleena, et al.
Publicado: (2018)

Advancing Brain-Computer Interface Applications for Severely Disabled Children Through a Multidisciplinary National Network: Summary of the Inaugural Pediatric BCI Canada Meeting
por: Kinney-Lang, Eli, et al.
Publicado: (2020)

On the way home: a BCI-FES hand therapy self-managed by sub-acute SCI participants and their caregivers: a usability study
por: Zulauf-Czaja, Anna, et al.
Publicado: (2021)

Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses
por: Ramos-Murguialday, Ander, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_9uqk8auebnt990rh0urjr84s38