Brain-Computer Interfaces (BCI) are systems that enable direct communication between the human brain and external devices. These interfaces can either record neural activity from the brain or stimulate it to control devices such as computers, prosthetic limbs, or other assistive technologies.
BCIs address issues related to motor impairments, disabilities, and neurological disorders by providing alternative means of communication and control for individuals who cannot use conventional input methods.
BCIs use electrodes placed on the scalp (non-invasive BCIs) or implanted directly into the brain tissue (invasive BCIs). These electrodes capture neural signals which are then processed by algorithms to translate them into commands for external devices. The process involves signal acquisition, preprocessing, feature extraction, and decoding.
Manufacturing BCI systems requires precision in electrode design and placement. Non-invasive BCIs are simpler to manufacture but may have lower signal quality compared to invasive BCIs which require more complex surgical procedures.
The build process involves selecting appropriate electrodes, designing the interface hardware, integrating software for signal processing, calibrating the system, and testing its performance in controlled environments before clinical trials.
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