Neurological Disorders Detection Based on Computer Brain Interface Using Centralized Blockchain with Intrusion System

A brain-computer interface (BCI) would afford real-time communication, pointedly refining the standard of lifespan, brain-to-internet (B2I) connection, and interaction between external digital devices brain. This assistive technology invents information transmission advancement patterns, like directly linking brain multimedia gadgets to cyber world. system will convert data signals which is understandable by without physical intervention exchanges human-related languages with atmosphere control protocols. These progressive difficulties limit security severely. Hence, rate ransomware, attacks, malware, other types vulnerabilities be rising radically. On hand, necessity enhance conventional processes for investigating cyberenvironment facets. article presents a Neurological Disorders Detection based on Computer Brain Interface Using Centralized Blockchain Intrusion System (NDDCBI-CBIS). The projected NDDCBI-CBIS technique focuses identification neurological disorders epileptic seizure detection. To attain this, presented pre-processes biomedical signals. Next, detect seizures, long short-term memory (LSTM) model applied. experimental evaluation approach can tested making use medical dataset outcomes inferred from enhanced technique.