September 10, 2025ScienceRiseOpen Access

Brain-computer interfaces: neural signal processing and algorithmic approaches

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The study identifies key factors affecting BCI system effectiveness, including neural signal acquisition and algorithm performance.
Advancements in signal processing methods and AI are crucial for enhancing BCI efficiency and real-time operation.
Both invasive and non-invasive BCIs are analyzed for their advantages and limitations, impacting user comfort and data accuracy.
Cybersecurity risks associated with BCIs present significant challenges, particularly for remote control of medical devices.

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Research focuses on enhancing neural signal processing in brain-computer interfaces, highlighting algorithm applications and cybersecurity issues.

Turkan Alibeyli (2025) studied this question.

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Research focuses on enhancing neural signal processing in brain-computer interfaces, highlighting algorithm applications and cybersecurity issues.