On Error-Related Potentials During Sensorimotor-Based Brain-Computer Interface: Explorations With a Pseudo-Online Brain-Controlled Speller

On Error-Related Potentials During Sensorimotor-Based Brain-Computer Interface: Explorations With a Pseudo-Online Brain-Controlled Speller

Objective: Brain-computer interface (BCI) spelling is a promising communication solution for people in paralysis. Currently, BCIs suffer from imperfect decoding accuracy which calls for methods to handle spelling mistakes. Detecting error-related potentials (ErrPs) has been early identified as a pot...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak:	Michele Bevilacqua, Serafeim Perdikis, Jose del R. Millan
Formatua:	Artikulua
Hizkuntza:	English
Argitaratua:	IEEE 2020-01-01
Saila:	IEEE Open Journal of Engineering in Medicine and Biology
Gaiak:	Brain-Computer Interface error correction Error Potentials Motor Imagery hybrid BCI
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/8945325/

Antzeko izenburuak

Brain–Computer Interface Spellers: A Review
nork: Aya Rezeika, et al.
Argitaratua: (2018-03-01)

Automatic Feature Selection for Sensorimotor Rhythms Brain-Computer Interface Fusing Expert and Data-Driven Knowledge
nork: Mushfika Sultana, et al.
Argitaratua: (2024-01-01)

Advances in P300 brain–computer interface spellers: toward paradigm design and performance evaluation
nork: Jiahui Pan, et al.
Argitaratua: (2022-12-01)

Cortical Topography of Error-Related High-Frequency Potentials During Erroneous Control in a Continuous Control Brain–Computer Interface
nork: Nile R. Wilson, et al.
Argitaratua: (2019-05-01)

Error-related potentials during multitasking involving sensorimotor control: an ERP and offline decoding study for brain-computer interface
nork: Masaki Yasuhara, et al.
Argitaratua: (2025-01-01)

A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
nork: Amardeep Singh, et al.
Argitaratua: (2021-03-01)

Improving single-hand open/close motor imagery classification by error-related potentials correction
nork: Yanghao Lei, et al.
Argitaratua: (2023-08-01)

P300-Based Brain-Computer Interface Speller: Usability Evaluation of Three Speller Sizes by Severely Motor-Disabled Patients
nork: M. Teresa Medina-Juliá, et al.
Argitaratua: (2020-10-01)

A Hybrid Speller Design Using Eye Tracking and SSVEP Brain–Computer Interface
nork: Malik M. Naeem Mannan, et al.
Argitaratua: (2020-02-01)

MartMi-BCI: A matlab-based real-time motor imagery brain-computer interface platform
nork: Guoyang Liu, et al.
Argitaratua: (2023-05-01)

Brain–Computer Interface Speller Based on Steady-State Visual Evoked Potential: A Review Focusing on the Stimulus Paradigm and Performance
nork: Minglun Li, et al.
Argitaratua: (2021-04-01)

Evaluation of Different Types of Stimuli in an Event-Related Potential-Based Brain–Computer Interface Speller under Rapid Serial Visual Presentation
nork: Ricardo Ron-Angevin, et al.
Argitaratua: (2024-05-01)

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges
nork: Natasha Padfield, et al.
Argitaratua: (2019-03-01)

Using Brain-Computer Interface to Control a Virtual Drone Using Non-Invasive Motor Imagery and Machine Learning
nork: Catalin Dumitrescu, et al.
Argitaratua: (2021-12-01)

On the Deep Learning Models for EEG-Based Brain-Computer Interface Using Motor Imagery
nork: Hao Zhu, et al.
Argitaratua: (2022-01-01)

User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface
nork: Minkyu Ahn, et al.
Argitaratua: (2018-02-01)

Post-Adaptation Effects in a Motor Imagery Brain-Computer Interface Online Coadaptive Paradigm
nork: Jose Diogo Cunha, et al.
Argitaratua: (2021-01-01)

Merging Brain-Computer Interface P300 speller datasets: Perspectives and pitfalls
nork: Luigi Bianchi, et al.
Argitaratua: (2022-12-01)

Steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) of Chinese speller for a patient with amyotrophic lateral sclerosis: A case report
nork: Nanlin Shi, et al.
Argitaratua: (2020-03-01)

A Wearable Brain-Computer Interface With Fewer EEG Channels for Online Motor Imagery Detection
nork: Zuguang Rao, et al.
Argitaratua: (2024-01-01)

Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients
nork: Valeria de Seta, et al.
Argitaratua: (2022-11-01)

Immediate effects of short-term meditation on sensorimotor rhythm-based brain–computer interface performance
nork: Jeehyun Kim, et al.
Argitaratua: (2022-12-01)

Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline
nork: Karina Statthaler, et al.
Argitaratua: (2017-12-01)

BCI-Utility Metric for Asynchronous P300 Brain-Computer Interface Systems
nork: Guoxuan Ma, et al.
Argitaratua: (2023-01-01)

The influence of psychological and cognitive states on error-related negativity evoked during post-stroke rehabilitation movements
nork: Akshay Kumar, et al.
Argitaratua: (2021-02-01)

Studies to Overcome Brain–Computer Interface Challenges
nork: Woo-Sung Choi, et al.
Argitaratua: (2022-03-01)

Investigation of a Deep-Learning Based Brain–Computer Interface With Respect to a Continuous Control Application
nork: Manfred Strahnen, et al.
Argitaratua: (2022-01-01)

Error-Related Potentials in Reinforcement Learning-Based Brain-Machine Interfaces
nork: Aline Xavier Fidêncio, et al.
Argitaratua: (2022-06-01)

Using Brain Network Features to Increase the Classification Accuracy of MI-BCI Inefficiency Subject
nork: Rui Zhang, et al.
Argitaratua: (2019-01-01)

EEG sensorimotor rhythms’ variation and functional connectivity measures during motor imagery: linear relations and classification approaches
nork: Carlos A. Stefano Filho, et al.
Argitaratua: (2017-11-01)

The Self-Face Paradigm Improves the Performance of the P300-Speller System
nork: Zhaohua Lu, et al.
Argitaratua: (2020-01-01)

Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface
nork: Jing Luo, et al.
Argitaratua: (2023-07-01)

Improving Performance of Motor Imagery-Based Brain–Computer Interface in Poorly Performing Subjects Using a Hybrid-Imagery Method Utilizing Combined Motor and Somatosensory Activity
nork: Sangin Park, et al.
Argitaratua: (2023-01-01)

A Bibliometric Analysis of the Application of Brain-Computer Interface in Rehabilitation Medicine Over the Past 20 Years
nork: Huang J, et al.
Argitaratua: (2025-03-01)

A Development Architecture for Serious Games Using BCI (Brain Computer Interface) Sensors
nork: Kyhyun Um, et al.
Argitaratua: (2012-11-01)

Effects of Gaze Fixation on the Performance of a Motor Imagery-Based Brain-Computer Interface
nork: Jianjun Meng, et al.
Argitaratua: (2022-01-01)

Single trial predictors for gating motor-imagery brain-computer interfaces based on sensorimotor rhythm and visual evoked potentials
nork: Andrew eGeronimo, et al.
Argitaratua: (2016-04-01)

On-Line Error Correction in Sensor Interface Circuits by Using Adaptive Filtering and Digital Calibration
nork: Sascha Heinssen, et al.
Argitaratua: (2018-11-01)

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

Mind the Move: Developing a Brain-Computer Interface Game with Left-Right Motor Imagery
nork: Georgios Prapas, et al.
Argitaratua: (2023-06-01)