Brain-Computer Interfaces: A Comprehensive Review of Technologies, Applications, and Challenges

Brain-computer interfaces (BCIs) are advanced systems that bypass traditional neuromuscular pathways to establish a direct communication path between the brain and external devices.This literature review takes an in-depth look at BCIs, tracing their evolution from early electroencephalogram (EEG) discoveries to contemporary applications.The review divides BCI technologies into invasive and non-invasive approaches, analysing their respective advantages and limitations.Invasive BCIs provide high-resolution neural data but carry significant risks, while non-invasive BCIs, while safer, generally have lower accuracy rates.The review highlights the current state of BCI applications in medical and non-medical fields, such as restoring motor function in disabled patients and enhancing the gaming experience.In addition, this article also explores the challenges currently faced by BCIs in terms of signal noise, electrode design, ethical considerations, and regulatory frameworks.The future direction of BCIs depends on advances in hardware (including flexible electrodes and wireless systems) and software (especially in improving decoding accuracy and AI integration).Despite significant progress, continuous improvements are still needed before BCIs can be widely implemented.