ReviewFundamental research2025
Signal acquisition of brain-computer interfaces: A medical-engineering crossover perspective review.
Review in Fundamental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- NeuroStream: spectral-spatio-temporal deep learning for visual stimulus classification from EEG.Scientific reports · 2026Article
- Advancing data protections for implantable brain-computer interfaces.Communications medicine · 2026Review
- Seizure type classification algorithm based on multi-dimensional brain network feature selection.Fundamental research · 2026Article
- Review
- A visual imagery paradigm for BCI strategies using imagined flickering patterns.Scientific reports · 2026Article
- Editorial: Integrative approaches with BCI and robotics for improved human interaction.Frontiers in robotics and AI · 2026Article
- Bidirectional cross-day alignment of neural spikes and behavior using a hybrid SNN-ANN algorithm.Frontiers in neuroscience · 2026Article
- A theoretical framework for brain-computer interfaces: decodability, performance limits, and closed-loop adaptation.Frontiers in human neuroscience · 2026Article
- Advancements and Applications of EEG in Gustatory Perception.Brain sciences · 2025Review
- A systematic literature review on integrating AI-powered smart glasses into digital health management for proactive healthcare solutions.NPJ digital medicine · 2025Article
- Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study.JMIR formative research · 2025Article
- Traumatic Brain Injury: Novel Experimental Approaches and Treatment Possibilities.Life (Basel, Switzerland) · 2025Review
- Eco-Friendly Conductive Hydrogels: Towards Green Wearable Electronics.Gels (Basel, Switzerland) · 2025Review
- Multimodal technologies for neural modulation and sensing.Fundamental research · 2025Article
- Next-Generation Neurotechnologies Inspired by Motor Primitive Model for Restoring Human Natural Movement.Research (Washington, D.C.) · 2025Review
- Adaptive spatiotemporal encoding network for cognitive assessment using resting state EEG.NPJ digital medicine · 2024Article
- EEG signatures of cognitive decline after mild SARS-CoV-2 infection: an age-dependent study.BMC medicine · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-computer interface (BCI) technology represents a burgeoning interdisciplinary domain that facilitates direct communication between individuals and external devices. The efficacy of BCI systems is largely contingent upon the progress in signal acquisition methodologies. This paper endeavors to provide an exhaustive synopsis of signal acquisition technologies within the realm of BCI by scrutinizing research publications from the last ten years. Our review synthesizes insights from both clinical and engineering viewpoints, delineating a comprehensive two-dimensional framework for understanding signal acquisition in BCIs. We delineate nine discrete categories of technologies, furnishing exemplars for each and delineating the salient challenges pertinent to these modalities. This review furnishes researchers and practitioners with a broad-spectrum comprehension of the signal acquisition landscape in BCI, and deliberates on the paramount issues presently confronting the field. Prospective enhancements in BCI signal acquisition should focus on harmonizing a multitude of disciplinary perspectives. Achieving equilibrium between signal fidelity, invasiveness, biocompatibility, and other pivotal considerations is imperative. By doing so, we can propel BCI technology forward, bolstering its effectiveness, safety, and dependability, thereby contributing to an auspicious future for human-technology integration.
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What OpenQuestion holds
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.