A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Methodology

A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Methodology

The significance of deep learning techniques in relation to steady-state visually evoked potential- (SSVEP-) based brain-computer interface (BCI) applications is assessed through a systematic review. Three reliable databases, PubMed, ScienceDirect, and IEEE, were considered to gather relevant scient...

Full description

Bibliographic Details
Main Authors:	A. S. Albahri, Z. T. Al-qaysi, Laith Alzubaidi, Alhamzah Alnoor, O. S. Albahri, A. H. Alamoodi, Anizah Abu Bakar
Format:	Article
Language:	English
Published:	Hindawi Limited 2023-01-01
Series:	International Journal of Telemedicine and Applications
Online Access:	http://dx.doi.org/10.1155/2023/7741735

Similar Items

Unmasking large language models by means of OpenAI GPT-4 and Google AI: A deep instruction-based analysis
by: Idrees A. Zahid, et al.
Published: (2024-09-01)

Prioritizing complex health levels beyond autism triage using fuzzy multi-criteria decision-making
by: A. S. Albahri, et al.
Published: (2024-06-01)

Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases
by: A. H. Alamoodi, et al.
Published: (2023-02-01)

Based on T-spherical fuzzy environment: A combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients
by: M.A. Alsalem, et al.
Published: (2021-10-01)

Waveform-Coded Steady-State Visual Evoked Potentials for Brain-Computer Interfaces
by: Masaki Nakanishi, et al.
Published: (2021-01-01)

Corrigendum to “Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients” [J. Adv. Res. 37 (2022) 147–168]
by: O.S. Albahri, et al.
Published: (2023-03-01)

Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients
by: O.S. Albahri, et al.
Published: (2022-03-01)

Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods
by: Khaleel Yahya Layth, et al.
Published: (2024-08-01)

Effect of Competing Stimuli for Steady-State Visually Evoked Potential and Steady-State Motion Visually Evoked Potential
by: Yuanpei Gao, et al.
Published: (2021-01-01)

Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future
by: Mohammed Taha Aljburi, et al.
Published: (2024-01-01)

EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development
by: S.M. Fernandez-Fraga, et al.
Published: (2019-08-01)

Design of Wearable Headset with Steady State Visually Evoked Potential-Based Brain Computer Interface
by: Bor-Shyh Lin, et al.
Published: (2019-10-01)

Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects
by: O.S. Albahri, et al.
Published: (2020-10-01)

Simultaneous detection of P300 and steady-state visually evoked potentials for hybrid brain-computer interface.
by: Adrien Combaz, et al.
Published: (2015-01-01)

Classifier testing for the brain-machine interface (BCI) based on Steady State Visually Evoked Potential (SSVEP)
by: Kubacki Arkadiusz, et al.
Published: (2017-01-01)

Towards an optimization of stimulus parameters for brain-computer interfaces based on steady state visual evoked potentials.
by: Anna Duszyk, et al.
Published: (2014-01-01)

Comparison between steady-state visual evoked potential and motor imagery for brain computer interface movement control /
by: Alkisah Mubin, 1997-, author 638467, et al.
Published: (2020)

A Systematic Review of Artificial Intelligence in Orthopaedic Disease Detection: A Taxonomy for Analysis and Trustworthiness Evaluation
by: Thura J. Mohammed, et al.
Published: (2024-12-01)

Comparison between steady-state visual evoked potential and motor imagery for brain computer interface movement control /
by: Alkisah Mubin, 1997-, author 638467
Published: (2020)

Development of a steady state visual evoked potential (SSVEP)-based brain computer interface (BCI) system
by: Leow, R.S., et al.
Published: (2007)

An EEG dataset for studying asynchronous steady-state visual evoked potential (SSVEP) based brain computer interfaces
by: Jing Zhao, et al.
Published: (2024-12-01)

A Modified Hybrid Brain-Computer Interface Speller Based on Steady-State Visual Evoked Potentials and Electromyogram
by: Sahar Sadeghi, et al.
Published: (2024-04-01)

Optimal Stimulus Properties for Steady-State Visually Evoked Potential Brain–Computer Interfaces: A Scoping Review
by: Clemens Reitelbach, et al.
Published: (2024-01-01)

Frequency set selection for multi-frequency steady-state visual evoked potential-based brain-computer interfaces
by: Jing Mu, et al.
Published: (2022-12-01)

Multi-frequency steady-state visual evoked potential dataset
by: Jing Mu, et al.
Published: (2024-01-01)

Steady state visual evoked potentials in schizophrenia: A review
by: Alexander Schielke, et al.
Published: (2022-10-01)

Decoding Steady-State Visual Evoked Potentials From Electrocorticography
by: Benjamin Wittevrongel, et al.
Published: (2018-09-01)

Multi-Domain Features and Multi-Task Learning for Steady-State Visual Evoked Potential-Based Brain–Computer Interfaces
by: Yeou-Jiunn Chen, et al.
Published: (2025-02-01)

Steady-State Visual Evoked Potential-Based Brain–Computer Interface System for Enhanced Human Activity Monitoring and Assessment
by: Yuankun Chen, et al.
Published: (2024-11-01)

Eye-Movement-Control-Independent Brain Computer Interface Using Modulation of Steady-State Responses in Visual Evoked Potentials
by: Seiji Nishifuji, et al.
Published: (2018-11-01)

A Novel Hybrid Brain-Computer Interface Combining Motor Imagery and Intermodulation Steady-State Visual Evoked Potential
by: Xinyi Chi, et al.
Published: (2022-01-01)

Multisymbol Time Division Coding for High-Frequency Steady-State Visual Evoked Potential-Based Brain-Computer Interface
by: Xiaochen Ye, et al.
Published: (2022-01-01)

Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations.
by: Zafer İşcan, et al.
Published: (2018-01-01)

A multimodal approach to analysis of steady state visually evoked potentials
by: Vij, Nikhil, et al.
Published: (2013)

Electrode channel optimisation method for steady-state visual evoked potentials
by: Kang Ma, et al.
Published: (2019-11-01)

Steady-state visually evoked potential is modulated by the difference of recognition condition.
by: Tetsuto Minami, et al.
Published: (2020-01-01)

The Role of Visual Noise in Influencing Mental Load and Fatigue in a Steady-State Motion Visual Evoked Potential-Based Brain-Computer Interface
by: Jun Xie, et al.
Published: (2017-08-01)

A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics
by: Nayibe Chio, et al.
Published: (2024-12-01)

Comparing Steady-State Visually Evoked Potentials Frequency Estimation Methods in Brain-Computer Interface With the Minimum Number of EEG Channels
by: Mehrnoosh Neghabi, et al.
Published: (2019-05-01)

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