Title :
VHDL Based Electro-Oculogram Signal Classification
Author :
Gandhi, T. ; Trikha, M. ; Santosh, J. ; Anand, S.
Abstract :
technique for classification of multiple channel Electrooculogram signals (EOG) using VHDL based Hardware. The classifier is based on Deterministic Finite Automata (DFA). The system is capable of classifying sixteen different EOG signals. The viability of the system was tested by performing online experiments with able bodied subjects. Index Terms: DFA (Deterministic Finite Automata), EOG (Electro Oculogram), VHDL (Very High speed Hardware description Language
Keywords :
Automata; Biomedical computing; Biomedical engineering; Cornea; Doped fiber amplifiers; Electrodes; Electrooculography; Paper technology; Pattern classification; Voltage;
Conference_Titel :
Advanced Computing and Communications, 2007. ADCOM 2007. International Conference on
Conference_Location :
Guwahati, Assam
Print_ISBN :
0-7695-3059-1
DOI :
10.1109/ADCOM.2007.129
