WEBspike: A New Proposition of Deterministic Finite Automata and Parallel Algorithm Based Web Application for EEG Spike Recognition

Abstract

Abstract-The brain signal or Electroencephalogram (EEG) has been proved as one of the most important bio-signal that deals with a nu mber of problems and disorders related to the hu man being. Ep ilepsy is one of the most commonly known disorders found in human s. The application o f EEG in epilepsy related research and treatment is now a very co mmon pract ice. Variety of smart tools and algorith ms exist to assist the experts in taking decision related to the treatment to be provided to an epileptic patient. However, web based applications or tools are still needed that can assist those doctors and experts, who are not having such existing smart tools for EEG analysis with them. In the current work, a web based system named WEBspike has been proposed that breaks the geographical boundary in assisting doctors in taking proper and fast decision regarding the treat ment of epileptic patient. The proposed system receives the EEG data fro m various users through internet and processes it for Epileptic Sp ike (ES) patterns present in it. It sends back a report to the user regarding the appearance of ES pattern present in the submitted EEG data. The average spike recognition rate obtained by the system with the test files, was 99.09% on an average.