ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2024
Decoding auditory attention for real-time BCI control.
Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Speech Neurophysiology in Realistic Contexts: Big Hype or Big Leap?The European journal of neuroscience · 2026Review
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Brain-Computer Interfaces (BCI) facilitate interaction with devices, enhancing the quality of life for individuals with disabilities and offering a more direct method for controlling smart devices. Auditory BCIs commonly utilize event-related potentials (ERPs) necessitating a sequential presentation of choices through auditory stimuli. However, such methods impose constraints on the achievable Information Transfer Rate (ITR) compared to visual BCIs due to extended stimulus presentation times. Here, we introduce an auditory BCI approach in which the selective representation of attended speech in a listener's brain enables the decoding of one target sound source from the background. The simultaneous delivery of options in our proposed method reduces presentation durations by 2.5x compared to previous auditory BCI paradigms. This approach yields an average ITR exceeding 17 bits/min, with the best subject surpassing 33 bits/min. By outdoing current state-of-the-art auditory BCI paradigms, our research represents a significant advancement in the development of practical auditory BCI technologies.
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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.