GehirnComputerSchnittstellen

GehirnComputer, also known as Brain-Computer Interface (BCI), is a technology that enables direct communication between the human brain and external devices, such as computers, prosthetics, or other electronic systems. The primary goal of BCI is to translate brain signals into commands that can be understood by machines, thereby allowing individuals to control devices without the use of peripheral nerves and muscles.

The development of BCI technology has been driven by the need to assist individuals with severe motor disabilities, such as those suffering from conditions like amyotrophic lateral sclerosis (ALS) or spinal cord injuries. By bypassing the traditional neuromuscular pathways, BCI systems can provide a means of communication and control for those who are otherwise unable to interact with their environment.

There are several types of BCIs, each utilizing different methods to capture and interpret brain signals. Non-invasive BCIs, for example, use electrodes placed on the scalp to measure electrical activity, while invasive BCIs involve the implantation of electrodes directly into the brain tissue. Another category, semi-invasive BCIs, uses electrodes placed under the skull but above the brain tissue.

The effectiveness of BCI technology is influenced by various factors, including the type of brain signals used, the accuracy of signal interpretation, and the user's ability to control and adapt to the system. Research in this field continues to advance, with ongoing efforts to improve signal resolution, reduce invasiveness, and enhance the overall usability of BCI systems. As a result, BCIs hold significant promise for enhancing the quality of life for individuals with severe disabilities and for exploring new avenues in human-computer interaction.