ReviewFrontiers in human neuroscience2021
Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications.
Review in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 80 citations in OpenAlex.
- A Systematic Review of Techniques for Artifact Detection and Artifact Category Identification in Electroencephalography from Wearable Devices.Sensors (Basel, Switzerland) · 2025Pooled it
- Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review.BMC geriatrics · 2025Pooled it
- Workplace Well-Being in Industry 5.0: A Worker-Centered Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- Rethinking Brain-Computer Interfaces for Soft Robotic Systems: A Unified Framework and Perspective.Sensors (Basel, Switzerland) · 2026Article
- [A review of noninvasive brain-computer interfaces combined with transcranial electrical stimulation for neural rehabilitation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Review
- Beyond the lab: real-world benchmarking of wearable EEGs for passive brain-computer interfaces.Brain informatics · 2025Article
- A multi-paradigm EEG dataset for studying upper limb rehabilitation exercises.Scientific data · 2025Article
- Enhancing mobile EEG: Software development and performance insights of the DreamMachine.HardwareX · 2025Article
- The Impact of Digitalization and Information and Communication Technology on the Nature and Organization of Work and the Emerging Challenges for Occupational Safety and Health.International journal of environmental research and public health · 2025Review
- Response coupling with an auxiliary neural signal for enhancing brain signal detection.Scientific reports · 2025Article
- Motor imagery-based brain-computer interfaces: an exploration of multiclass motor imagery-based control for Emotiv EPOC X.Frontiers in neuroinformatics · 2025Article
- Optimizing EEG Signal Integrity: A Comprehensive Guide to Ocular Artifact Correction.Bioengineering (Basel, Switzerland) · 2024Article
- A Data Augmentation Method for Motor Imagery EEG Signals Based on DCGAN-GP Network.Brain sciences · 2024Article
- Decoding the Debate: A Comparative Study of Brain-Computer Interface and Neurofeedback.Applied psychophysiology and biofeedback · 2024Review
- Advancements in brain-computer interfaces for the rehabilitation of unilateral spatial neglect: a concise review.Frontiers in neuroscience · 2024Review
- Considerations and discussions on the clear definition and definite scope of brain-computer interfaces.Frontiers in neuroscience · 2024Review
- Fog Computing for Control of Cyber-Physical Systems in Industry Using BCI.Sensors (Basel, Switzerland) · 2023Article
- Brain-computer interface: trend, challenges, and threats.Brain informatics · 2023Review
- Human-machine interface for two-dimensional steering control with the auricular muscles.Frontiers in neurorobotics · 2023Article
- [Applications, industrial transformation and commercial value of brain-computer interface technology].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last few decades, Brain-Computer Interface (BCI) research has focused predominantly on clinical applications, notably to enable severely disabled people to interact with the environment. However, recent studies rely mostly on the use of non-invasive electroencephalographic (EEG) devices, suggesting that BCI might be ready to be used outside laboratories. In particular, Industry 4.0 is a rapidly evolving sector that aims to restructure traditional methods by deploying digital tools and cyber-physical systems. BCI-based solutions are attracting increasing attention in this field to support industrial performance by optimizing the cognitive load of industrial operators, facilitating human-robot interactions, and make operations in critical conditions more secure. Although these advancements seem promising, numerous aspects must be considered before developing any operational solutions. Indeed, the development of novel applications outside optimal laboratory conditions raises many challenges. In the current study, we carried out a detailed literature review to investigate the main challenges and present criteria relevant to the future deployment of BCI applications for Industry 4.0.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.